Call for Workshop Papers

In addition to exciting technical session tracks, tutorials, industry panels, and exhibitions, IEEE WCNC 2026 will feature a series of workshops emphasizing emerging topics that are not specifically covered in the main conference. Each workshop may include a mix of regular papers, invited presentations, keynotes, and panels that encourage the participation of attendees in active discussion. Papers are solicited for presentation at these workshops. Accepted and presented papers will appear in the IEEE WCNC 2026 Workshops Proceedings and submitted to IEEE Xplore.

Please address all questions to the IEEE WCNC 2026 Workshops Co-Chairs, Prof. Yacine Ghamri-Doudane (University of La Rochelle, France),  Prof. Derrick Wing Kwan Ng (New South Wales University, Australia), and Prof. Mohamad Yusof Alias (Multimedia University, Malaysia), via emails: yacine.ghamri@univ-lr.fr, w.k.ng@unsw.edu.au, yusoff@mmu.edu.my.

Key Dates

  • Workshop Paper Submission Deadline: 1 December 2025
  • Notification of Acceptance: 5 February 2026
  • Final Workshop Papers Due: 22 February 2026

Workshops

Click on workshop title for full description and submission link:

WS01. The 3rd Workshop on Distributed Generative AI at the Edge of Networks (Edge-GenAI)

Abstract

In recent years, the advent and ongoing refinement of Generative Artificial Intelligence (GenAI) technologies, including large-scale models, generative adversarial networks, and denoising models, has significantly expanded the potential applications of this transformative technology. The GenAI agent is capable of exhibiting human-like responses in question-answering tasks, with a singular focus on the domain of computer science. As AI models grow in complexity and size, traditional cloud-based approaches often struggle with issues like latency, bandwidth constraints, and data privacy concerns. Edge GenAI seeks to address these challenges by enabling GenAI models to run locally on edge devices, such as smartphones, IoT sensors, or embedded systems, closer to where the data is generated. Edge devices can support distributed model deployment and flexibly share computing loads with other devices or central servers to collaboratively complete generation tasks. The advent of hosting generative AI on edge devices introduces a range of novel problems that are ripe for exploration, combining the challenges of inter-model communication, distributed computing, distributed training of AI models, etc. Currently, the development of network technology to support mobile edge GenAI is still in its infancy. Efficient communication technologies, such as encoding technologies, transmission protocols, and joint resource allocation issues between distributed GenAI models still urgently require insightful academic contributions. Topics of interest include but are not limited to

  • Distributed/federated training of GenAI
  • Scalable Architectures of Edge Models
  • Information and Communication Technologies of GenAI
  • GenAI for Network Scheduling and Resource Allocation
  • Model Compression and Knowledge Distillation of GenAI
  • GenAI in Intelligent Transportation
  • GenAI enabled Metaverse and Digital Twins
  • GenAI for Healthcare
  • Privacy and Security challenges in GenAI
  • Edge GenAI models’ Update
  • Multi-modal GenAI
  • Fine-tuning Technologies of GenAI Models 

Organizers:

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WS02. 3rd Workshop on Open Source 6G Networks for Connecting the Unconnected (Open6GNet)

Abstract

Looking at the UN SDGs and the IMT-2030 Framework, there is a clear key requirement to make 6G a technology for connecting the unconnected. Four years of international research have been globally undertaken to understand the key technology enablers of 6G and 3GPP is starting in 2025 the international standardization of 6G. in parallel there is the global recognition, that 5G has not delivered what it has promised a decade ago, as it has become a very expensive technology due to the complex standards and involved patents, which make 5G products too expensive for many industries and developing countries. Particular network coverage remains a key challenge in both developed and developing countries. 

In addition, we have recognized the global rise of private 5G networks due to new spectrum policies and the increasing understanding that there is now “one network fits all” delivered by public network operators, but rather highly customized future-proof enterprise networks are needed. In this context, new value chains and business models are arising with the digital transformation of many industries, where the highly customized communications infrastructure represents an important, but small part of the overall end to end enterprise IT/OT system architecture.

As networks are already software-based from the 5th generation of mobile networks and many experts consider 6G as an evolution of 5G in regard to fulfilling finally the 5G promises to make it the ultimate, highly customizable communications infrastructure for a waste diversity of industrial application domains. We believe that there is a high potential to shape 6G as a more sustainable and economic network technology to particularly enable the less developed countries to build their own customized future networks for their different public and private sectors. However, it is also important to stress, that the main challenge is not only the developing countries, as we also witness many unconnected areas in developed countries. Also, the industries are looking for more affordable, self-sovereign communication technologies in their industrial transformation based on emerging local ecosystems providing the needed end to end network components and edge / cloud virtualization infrastructures.

The virtualization of networks has created a vivid Open Source community in the last two decades and we believe strongly, that this community could help in addressing the above challenges by providing the building blocks and toolkits, enabling researchers and developers around the globe to build up their own expertise and infrastructures to develop local eco systems for (re)establishing the digital self-sovereignty of their countries.

In this workshop we want to bring together international experts from both communications as well as industries from developing and developed countries to discuss the related challenges, approaches, and experiences to solve them while building up sustainable 5G and 6G private and public networks.

Organizers:

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WS03. 9th Workshop on Sustainable and Intelligent Green Internet of Things for 6G and Beyond (6GSIoT)

Abstract

6G, the next generation communication system, is expected to satisfy unprecedented requirements on system performance in terms of throughput, latency, massive connections, and so on. In the 6G era, with the hyper-connectivity among humans and everything, we are anticipating Internet of Things (IoT) applications in various fields, including smart city, smart factory, smart home, smart grid, e-health, smart farming, and smart transportation, accompanied by new services with rich experiences, such as truly immersive VR/AR/MR (XR), etc. However, considering the diversity of networking entities, different application requirements, and resource constraints in IoT environments, there is a need for sustainable and innovative hardware and software upgrades. Future IoT systems will feature a larger number of devices and multi-access environments where different types of wireless spectrum, including Sub-6 GHz, Millimetre-wave, and Terahertz technologies, should be efficiently utilized. The increase in the number of IoT devices also increases the challenges of maintaining a net zero carbon emission rate, hence creating difficulties in meeting COP26 goals. To tackle these challenges, it is crucial to develop an IoT architecture that optimizes resource utilization and can cope with the constraints of IoT devices. Numerous appealing options exist for creating and executing energy-efficient communication networks. Some examples of these technologies include multiple-input-multiple-output (MIMO), intelligent reflecting surface (IRS), and energy-harvesting communications. Furthermore, it is also crucial to determine the type and amount of data to be shared, stored, and processed among the different network entities with heterogeneous characteristics in an IoT environment. Moreover, the network environment and system requirements change with the space and time domains, which require intelligent approaches in perception, networking, and control. It is envisioned that the collaborative intelligence is the enabler for collaborative and greener IoT systems. In order to promote a more environmentally friendly and smarter society, it is important to increase research efforts on collaborative intelligence and incorporate new hardware upgrades for IoT systems to accelerate the adoption of emerging IoT technologies. This workshop aims at addressing technical challenges to enable collaborative intelligence and hardware upgrades for IoT systems. The goal is to support a more sustainable and smarter society and help IoT-based companies to keep the 1.5 C goal of COP26 alive.

General Chair(s):
Technical Program Committee Chairs:

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WS04. 6G Integrated Sensing, Computing, and Communications for Low-Altitude Flying

Abstract

With the development of artificial intelligence (AI) for wireless, which results in burgeoning demand pressure on conventional terrestrial infrastructure, compounded by the exponential surge in Internet of Things (IoT) service requirements, the development of integrated low altitude economy (LAE) network systems. Specifically, low-altitude wireless networks confront three fundamental constraints: inherent architectural bandwidth limitations, restricted computational capabilities at aerial edge devices (e.g., drones, high-altitude platforms), and latency bottlenecks within low-altitude backhaul links. Consequently, critical functionalities like mobile sensing, data transmission, and distributed computation within these vertically stratified networks have historically been designed and deployed in isolation. This siloed approach impedes the holistic optimisation essential for minimising end-to-end latency and maximising energy efficiency across the entire low-altitude network fabric. Unlike incremental strategies focused solely on augmenting terrestrial network capacity, LAE networks offer a fundamentally distinct approach to enhancing overall network performance. Crucially, the integration of advanced computational intelligence methodologies – encompassing deep learning, optimisation theory, and LLMs – significantly augments the operational capabilities of LAE networks. These methodologies enhance the network's cognitive capacity for environmental perception and situational understanding, its learning capability to adaptively improve performance based on historical and real-time data, and its autonomous decision-making proficiency for complex resource orchestration tasks. This intelligent augmentation facilitates the dynamic and efficient allocation of scarce resources (e.g., spectrum, transmission power, computational capacities, platform trajectory) in response to fluctuating demands and heterogeneous application requirements. The core objective of this workshop is to systematically address the intricate complexities inherent in designing and implementing integrated sensing, communications, and computing IoT networks for 6G-enabled LAE systems. The advanced LAE networks must enable seamless interconnection across diverse communication environments, spanning from the stringent ultralow latency requirements of low-altitude autonomous systems to the resilient communication protocols essential for operations in different complex urban environments. Furthermore, embedding computational capabilities within these 6G IoT networks enables transformative advances in distributed data processing, edge intelligence, and decentralised computation. By leveraging technological breakthroughs such as advanced edge computing and cognitive techniques, novel capabilities emerge for real-time decision-making, robust cybersecurity enforcement, digital twin-enabled network state monitoring, and cross-domain resource optimisation within interconnected LAE domains. Sensing constitutes the critical foundation for situational awareness within integrated LAE networks, facilitating context-aware communication protocols and precise navigation in vertically stratified airspace. Deploying sophisticated sensing technologies—including distributed IoT devices and aerial remote sensing platforms—enhances environmental comprehension and refines network performance under dynamically evolving, demanding low-altitude conditions. This necessitates co-design methodologies, wherein computing, communications, and sensing functionalities are concurrently engineered and optimised. Such a holistic approach is paramount for maximising performance across diverse 6G LAE integrated sensing, computing, and communications scenarios.

Organizers:

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WS05. Workshop on Integrated Sensing, AI, and Communication (ISAAC)

Abstract

The workshop with title "Integrated Sensing, AI, and Communication (ISAAC)" focuses on the integration of three transformative technologies, each playing a pivotal role in modern systems: sensing, artificial intelligence (AI), and communication. The motivation behind this workshop stems from the increasing demand for intelligent, interconnected, and efficient systems in domains such as autonomous vehicles, smart cities, healthcare, and environmental monitoring. Sensing technologies are becoming increasingly advanced, providing rich, high-dimensional data about the physical world. However, these systems often face challenges such as noise, bandwidth limitations, and the need for real-time processing. AI has emerged as a powerful tool to process and interpret this data, enabling actionable insights and decision-making. Communication technologies, particularly 5G and emerging 6G systems, bridge the gap by enabling seamless data sharing and coordination across devices and systems. The integration of these three domains presents profound opportunities but also complex challenges, such as resource optimization, latency reduction, and ensuring reliability in dynamic environments. This is a timely and impactful workshop topic because it aligns with the ongoing transformation of industries toward more intelligent and interconnected systems. It fosters interdisciplinary collaboration, bringing together experts from fields such as machine learning, wireless communication, and sensor design. Moreover, it addresses critical research questions, including how to optimize joint resource allocation, design AI models for distributed systems, and enhance the synergy between sensing and communication. The workshop provides a platform for discussing cutting-edge research, identifying emerging trends, and fostering innovation. It is especially relevant given the rapid advancements in AI and the rollout of next-generation communication networks. By focusing on integrated solutions, the workshop can inspire novel applications and frameworks, ultimately contributing to the development of smarter and more sustainable technologies. This makes it a compelling and high-impact topic for researchers and practitioners alike. 

Organizers:

  • Dr. Guangxu Zhu, Shenzhen Research Institute of Big Data, Shenzhen, China. Email: gxzhu@sribd.cn
  • Dr. Fan Liu, Southeast University, Nanjing, China. Email: fan.liu@seu.edu.cn
  • Dr. Xiaoyang Li, Southern University of Science and Technology, Shenzhen, China. Email: lixy@sustech.edu.cn
  • Dr. Kaifeng Han, China Academy of Information and Communications Technology, Beijing, China. Email: hankaifeng@caict.ac.cn

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WS06. Next-Evolution Waveforms for 6G Communication Networks

Abstract

The research of 6G technologies has attracted significant attention recently. Particularly, 6G wireless networks aim to support a myriad of new applications, such as metaverse, digital twins, autonomous driving, etc., raising much higher requirements on different performance/functional indicators like data rate, spectrum/energy efficiency, mobility, and accurate sensing capability. These can be rather challenging to achieve by classical microwave frequencies and waveforms in existing 4G/5G networks. Specifically, the microwave spectrum cannot support the Tbps data transmission due to bandwidth shortage, which necessitates the exploitation of THz frequencies and above. Traditional waveforms (e.g., OFDM/SC-FDE) are not that suitable for THz communications under severe fading and path loss, motivating new waveform design resilient to harsh channel conditions. Moreover, to satisfy the other dimensions of the 6G requirements, artificial intelligence/large language model (AI/LLM) empowered waveform design, novel spectrum/energy efficient modulation, robust waveform against Doppler shifts under high mobility and ISAC waveform design that reaches a good performance balance between communication and sensing, are considered to be significant topics within 6G. These emerging waveform-related topics have started to draw attention from the global researchers and to our best knowledge, the majority of relevant studies with 6G are still in their infancy. Against this background, it is the right time to motivate interesting philosophies around the next-evolution waveform (NEW) design for the incoming 6G network with our proposed workshop, which is believed to accelerate the development of 6G regarding communication theory, applications and standardization from physical-layer perspective. Specifically, this workshop will focus on cutting-edge waveform-related technologies considered as potential candidates for 6G networks with unprecedented data rate, energy efficiency, mobility, and sensing accuracy requirements. Topics of interest include, but are not limited to:

  • Emerging waveform-related design resilient to doubly dispersive channels (e.g., OTFS, OCDM, AFDM)
  • New waveform design for mmWave/THz/optical wireless communications
  • Novel spectrum/energy efficient modulation for 6G (e.g., backscatter communications, zero-power communications)
  • Innovative OFDM-related techniques and alternative waveforms
  • AI/LLM-based waveform optimization for 6G
  • Waveform/modulation for nano-scale communications (e.g., molecular communications)
  • Waveform-related design under quantum communication architectures (e.g., Rydberg atomic receiving)
  • Advanced ISAC waveform design for 6G
  • Waveform design regarding physical-layer security within 6G
  • Theoretical analysis for next-evolution communication/sensing waveform
  • Low-complexity transceiver design for new waveforms towards 6G
  • Hardware implementation, field trials, and standardization of emerging waveforms for 6G
  • Coded waveforms for 6G
  • Backward-competable waveform designs with lagacy 3G/4G/5G waveforms
  • Multidimensional waveforms for MIMO communications

Organizers:

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WS07. Pinching Antenna Systems (PASS) for Next-Generation Wireless Communications

Abstract

 In recent years, the pinching antenna system (PASS) have emerged as a promising flexible-antenna technology for 6G, with its first prototype showcased by NTT DOCOMO at the Mobile World Congress (MWC) Barcelona in 2021. As a novel antenna architecture, PASS introduces an additional degree of reconfigurability and spatial adaptability, marking a significant step beyond existing flexible-antenna solutions. PASS leverages dielectric waveguides with low propagation loss as the transmission medium, where pinching antennas (PAs), implemented as small dielectric particles attached along the waveguide, act as radiating elements. By intelligently activating PAs at desired positions, PASS realizes pinching beamforming, a new paradigm that jointly mitigates path loss and optimizes the phase of transmitted signals. 

In contrast to existing flexible-antenna technologies that primarily augment conventional multiple-input multiple-output (MIMO), PASS offers distinctive advantages in practicality, scalability, and efficiency. It enables “last-meter” communication by dynamically establishing stable line-of-sight (LoS) conditions in high-frequency bands, supports modular and cost-efficient deployment through its “plug-and-play” structure, and enhances both spectral and energy efficiency via the joint design of baseband and pinching beamforming. Beyond traditional cellular systems, PASS is envisioned to support a wide spectrum of wireless applications, including WiFi, unmanned systems, and localization/sensing networks, thereby advancing the vision of 6G and beyond. Nevertheless, extensive research efforts in beamforming design, large-scale prototyping, and integration with emerging 6G enablers are required to fully unleash the potential of PASS. 

This workshop focuses on attracting novel and solid contributions on the emerging topic of PASS for future wireless communications. Both theoretical and more applied contributions are solicited, covering, but not necessarily limited to, the following topics: 

  • Fundamental limits of PASS-based communications
  • Channel measurement for PASS Modelling
  • Channel estimation for PASS
  • Beamforming design under practical/complicated constraints
  • Flexible pinching power allocation for PASS
  • Next generation multiple access (NGMA) design for PASS
  • PASS for non-terrestrial and satellite communications
  • PASS for vehicular-to-everything (V2X) communications
  • Physical layer security for PASS
  • Machine learning/edge intelligence for PASS
  • PASS enabled integrated sensing and communications (ISAC)
  • PASS enabled wireless power transfer (WPT)
  • PASS enabled mmWave/THz communications
  • PASS enabled sensing/localization
  • PASS enabled mobile edge computing (MEC) 

Hardware implementation challenges of PASS 

Organizers:

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WS08. 2nd Workshop on Integrated Ground-Air-Space Wireless Networks

Abstract

Integrated ground-air-space wireless networks, that connect ground nodes, aerial platforms, and satellites, have been envisioned as a key component of future wireless networks to provide seamless connectivity for devices from various environment and applications. Despite the immense potential, several new challenges must be addressed to realize the truly integration between non-terrestrial and terrestrial networks, including network architecture, enabling technologies, typical use cases and standardization. Specifically, a hierarchical network architecture that integrates non-terrestrial and terrestrial networks shall be established, by taking into account the various communication, sensing, and computing capabilities of the ground nodes, aerial platforms, and satellites. Moreover, enabling technologies, including channel modelling, signal processing, interference mitigation, mobility and resource management need to be adequately devised to achieve adaptive and on-demand service provision within a unified integrated ground-air-space network architecture. Finally, typical use cases and standards that verify the usefulness of the network architectures and key technologies need to be designed. To that end, the present workshop aims to foster discussion, discovery, and dissemination of novel ideas and approaches in realizing integrated ground-air-space wireless networks.

The proposed workshop on integrated ground-air-space wireless networks is both timely and critical as the demand for seamless, ubiquitous connectivity continues to grow in various sectors, from consumer applications to critical infrastructure. As the boundaries between terrestrial, aerial, and space-based communication systems blur, the need for innovative solutions to integrate these domains becomes increasingly urgent. This workshop will likely attract high-quality submissions due to the relevance of its topics to ongoing research in wireless communications, as well as its alignment with the emerging trends in 6G networks and beyond. Moreover, the workshop's focus on cutting-edge issues such as network architecture, enabling technologies, and standardization will draw a broad audience, including not only researchers and practitioners but also industry professionals and policymakers eager to explore the future of global connectivity. Unlike other events that might only touch on aspects of this integration, this workshop uniquely emphasizes a comprehensive approach, covering the full spectrum from ground to space, thus filling a critical gap in current academic and industry forums.

Organizers:

  • Chenxi Liu, Associate Professor
     Affiliation: Beijing University of Posts and Telecommunications, China
     Email: chenxi.liu@bupt.edu.cn
  • Howard H. Yang, Assistant Professor
     Affiliation: ZJU-UIUC Institute, Zhejiang University, China
     Email: haoyang@intl.zju.edu.cn
  • Nikolaos Pappas, Associate Professor
     Affiliation: Department of Computer and Information Science, Linköping University, Sweden
     Email: nikolaos.pappas@liu.se
  • Feng Wang, Research Fellow
     Affiliation: Singapore University of Technology and Design, Singapore
     Email: feng2_wang@sutd.edu.sg
  • Yansha Deng, Professor
     Affiliation: King’s College London, United Kingdom
     Email: yansha.deng@kcl.ac.uk
  • Nan Yang, Professor
     Affiliation: Australian National University, Australia
     Email: nan.yang@anu.edu.au
  • Shih-Yu Chang, Professor
     Affiliation: San Jose State University, USA
     Email: shihyu.chang@sjsu.edu

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WS09. 9th International Workshop on Reconfigurable Intelligent and Holographic Surfaces for 6G

Abstract

 The sixth generation (6G) wireless communication networks are envisioned to create an intelligent and multi-functional digital ecosystem with sensing, localization, controlling, computing and communication functionalities. The 6G systems will be capable to fulfill current industry and consumer demands of high throughput, massive connectivity, semantic communication, ubiquitous wireless coverage, low power and low latency. The 6G systems are expected to fulfill more stringent requirements than 5G systems, on transmission capacity, reliability, latency, coverage, energy consumption, and connection density. To tackle this, advanced 6G communication and networking operations are required to utilize novel solutions with intelligent yet energy- and hardware-efficient techniques. 

Reconfigurable intelligent surfaces (RIS) leverage smart radio surfaces with high number of small antennas or metamaterial elements based on a programmable structure that can be used to control the propagation of electromagnetic waves. Reconfigurable holographic surfaces (RHS) with multiple input multiple output (MIMO) setup are composed of numerous metamaterial radiation elements integrated in a holographic pattern to generate beams with desirable directions. These intelligent and holographic surfaces will play a pivotal role in advanced 6G communication systems and networks. For instance, RIS/RHS configurations can be realized by incorporating large number of antenna elements with reconfigurable processing networks which provide a continuous antenna aperture. In the case of RHS, the transceiver can leverage hologram principle with this entire surface for efficient communications and networking applications. The meta-surface of RHS-aided transceiver does not require extra control unit to phase-shift the transmit signal. With massive MIMO antenna setups, RIS/RHS effectively obtains the desired radiation directions while exploring low-cost solutions. 

Machine learning and artificial intelligence (AI) tools, and optimization-based algorithmic solutions can be explored further in attaining sustainable RIS/RHS-aided wireless communications and networking. These RIS/RHS configurations can be applied across the radio spectrum, from sub-6 GHz to millimeter wave (mmWave) through to terahertz (THz) frequencies with massive antenna connectivity. Spectrum and hardware reuse of the systems can also be envisioned such as in the case of RIS/RHS being incorporated into integrated sensing, communications and localization. These configurations can also be intertwined with emerging technologies such as internet-of-things (IoT), internet-of-intelligent-things (IoIT), and vehicle to everything (V2X). RIS/RHS based conformal metasurfaces for unmanned aerial vehicles (UAVs)-assisted wireless systems can provide a promising research direction. The advanced multiple access schemes such as non-orthogonal multiple access (NOMA) and rate splitting multiple access (RSMA) can also be implemented with these configurations, and more novel RIS/RHS-based multiple access schemes can also be developed. 

These careful RIS/RHS configurations significantly improves the performance of wireless communication networks without noticeably increasing the power consumption or cost. However, the adversarial RIS/RHS configurations also poses a huge risk for physical layer security (PSL), which are not widely studied in literature. For instance, the illegitimate RIS/RHS configurations can be used to implement pilot contamination, enhance signal leakage, launch jamming attacks (also referred to as DoS-type attacks). The feature of RIS/RHS, i.e, the passive nature makes it is hard to detect illegitimate RIS/RHS, and thus they can almost imperceptibly deteriorate the PLS performance of wireless communication networks. The illegitimate RIS/RHS configurations inspire entirely-new PLS attacks, where the corresponding PLS technologies against these emergence illegitimate RIS/RHS related attacks are also not widely considered in literature. 

In this workshop, we seek to assemble key interdisciplinary and wider spectrum of research on achieving cross-cutting RIS/RHS-based 6G wireless communications and networking. The existing tracks in the conference do not explicitly include the exploration of RIS/RHS-aided systems for wide-scale applications.

Organizers:

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WS10. Workshop on Fluid Antenna System (FAS) for 6G

Abstract

The upcoming sixth-generation (6G) wireless networks are expected to provide extremely high capacity, reliability, massive connectivity, and services beyond communications. In compliance with this trend, next-generation reconfigurable antenna (NGRA) technologies have been proposed for enabling flexible and adaptive wireless communications. A hardware-agnostic fluid antenna system (FAS), which considers the radiating aperture as a reconfigurable physical-layer resource rather than a fixed component, has been proposed in recent years. FAS can be realized through any software-controllable fluidic, dielectric, or conductive structures, such as mechanical liquid-based antennas, radio-frequency (RF) pixel-based antennas, movable antennas, massive array, flexible antenna array, or metasurface, etc. By rapidly reconfiguring the shape, size, position, orientation, and other radiation characteristics, FAS exposes additional spatial degrees of freedom (DoF) that enable channel-aware diversity, opportunistic beamforming, and interference suppression, even with a single radio-frequency (RF) chain and compact form factors. Unlike the traditional antenna techniques where multiple antennas are discretely deployed with fixed configurations, the very fine spatial resolution and dynamic shape of FAS enable it to capitalize on the full range of spatial variations and flexibilities, resulting in significantly improved performance. Moreover, recent findings show that FAS is closely related to holographic MIMO system, reconfigurable intelligent surface (RIS), and integrated sensing and communication (ISAC). As a result, interesting discoveries can be obtained to advance the development of FAS from holographic MIMO, RIS, or ISAC and vice versa. FAS also offers a new capability to exploit the spatial opportunity where the interference suffers from deep fades for multiuser communication, leading to form new multiple access.

This workshop aims to explore the new opportunities and address the unique challenges associated with the application of FAS for 6G. It will serve as a platform for showcasing the latest research, innovations, and practical applications of FAS, thereby facilitating the integration of theoretical knowledge with real-world implementation. We seek original, completed, and unpublished work that is not currently under review by other journals, magazines, or conferences. Topics of interest include, but are not limited to:

  • Physics- and electromagnetic-compliant modeling of FAS
  • Electromagnetic- or information-theoretic performance limits for FAS
  • Advanced optimization theories and algorithms for FAS
  • Efficient channel estimation/extrapolation/reconstruction techniques in FAS
  • New coding and modulation schemes based on FAS
  • FAS-assisted multiple access schemes for achieving extremely massive connectivity
  • AI-assisted algorithms, management, and protocols for FAS
  • Enhancements in physical layer security and privacy through FAS
  • Joint communication, sensing, and/or computing designs in FAS
  • New reconfiguration capabilities for FAS
  • Seamless integration of FAS with RIS
  • Interrelation between FAS, other NGRA systems, and holographic MIMO systems
  • Industrial trials, applications, and testbed results of FAS for 6G

Organizers:

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WS11. Advanced Waveforms for 6G and Beyond: Communications, Sensing, Localization and their Integration

Abstract

Next-generation wireless systems rely on advanced waveforms to deliver enhanced user-experienced data rate, ultra-reliability, ultra-low latency, massive connectivity, and seamless integration with emerging technologies, such as artificial intelligence (AI) and extremely high frequency (EHF) bands. The Third Generation Partnership Project (3GPP)’s early consensus for sixth generation (6G) wireless communication systems landed on the orthogonal frequency division multiplexing (OFDM) family, namely cyclic prefix OFDM (CPOFDM) and discrete Fourier transform spread OFDM (DFT-s-OFDM). However, continued investigation into advanced waveforms remains critical for addressing emerging challenges and unlocking new capabilities. In the first place, the plethora of dynamic environments in 6G and beyond, such as high-speed trains, connected vehicles, high-altitude platform stations, and low-Earth orbit satellites, demands seamless and reliable information transmission. Communications in such environments face severe Doppler spreads, under which the widely deployed OFDM systems may become incompetent due to severe inter-carrier interference (ICI). Secondly, future wireless networks are expected to enable sensing and localization capabilities towards pervasive intelligent networks, facilitating unparalleled environmental and situational awareness across diverse use cases.

Against this background, advanced waveforms such as orthogonal time frequency space (OTFS), orthogonal delay division multiplexing (ODDM), orthogonal chirp division multiplexing (OCDM), affine frequency division multiplexing (AFDM), and others are emerging as promising solutions for 6G and beyond. These waveforms are being tailored to operate effectively in high-dynamic environments, extremely high frequency (EHF) bands, ultra-reliable low-latency communication (URLLC), localization, and integrated sensing and communications (ISAC). The advent of these advanced waveforms presents an opportunity to redefine the foundations of future wireless networks.

This workshop aims to stimulate global waveform research by exploring the latest advancements, challenges, and opportunities. We invite contributions on theoretical innovations such as channel estimation, sensing and localization algorithms, novel detection schemes, AI-enhanced waveform design, and scalable multi-antenna or multi-user architectures, as well as practical implementations including hardware prototyping, standardization pathways, and industry trials. By fostering dialogue between academia and industry, this forum aims to accelerate the development of next-generation waveforms tailored to 6G’s transformative vision.

Organizers:

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WS12. Toward Edge General Intelligence with Agentification

Abstract

 With the proliferation of mobile devices and the rising demand for user services, modern communication and networking systems are contending with ever-increasing data volumes. Although traditional AI methods (i.e., rule-based or discriminative) have helped alleviate some of this complexity, the emerging paradigm of agentification, the process of transforming static systems into autonomous, interactive agents, marks a significant shift toward more intelligent and adaptive networks. By embracing agentification, Agentic AI introduces autonomy, enabling systems to perceive, reason, act, and learn on their own. 

In practice, Agentic AI adapts to changing conditions, coordinates with other components or agents, and refines its strategies from real-time feedback. These capabilities distinguish Agentic AI from conventional solutions, delivering faster and more flexible responses to shifting operational needs. Notably, leading AI innovators, such as OpenAI, DeepSeek, and Claude are prioritizing agent-based architectures to tackle real-world challenges, signaling that this paradigm extends beyond standard AI services. The effectiveness of Agentic AI has already been observed across finance, healthcare, and smart retail, where organizations report streamlined operations and improved efficiency. For example, reports by Solace1 describe agentic supply-chain systems to reduce delivery delays and cut costs via autonomous demand forecasting, real-time logistics updates, and adaptive routing. By incorporating embodied AI, large language model (LLM)-based cognitive agents, generative agents, and multi-agent learning, Agentic AI can both exploit existing data and generate proactive insights that reshape entire workflows. 

In wireless communications and networking, the convergence of sensing, computing, and connectivity at the edge makes Agentic AI a natural path toward Edge General Intelligence (EGI), a goal-oriented intelligence that perceives, decides, and acts close to where data is produced. Under stringent latency, privacy, bandwidth, and energy constraints, edge-resident agents can deliver closed-loop control and continuous adaptation. For instance, LLM-based semantic agents deployed at the edge can dynamically control data flows, adjust application protocols, and invoke tools locally; embodied agents can directly manage base stations and edge devices to optimize topology or resource allocation in real time; and decentralized multi-agent coordination running on vehicular and UAV platforms can alleviate congestion, enhance safety, and accelerate disaster-recovery through intelligent path planning and adaptive interference management. Moreover, 5G/6G systems benefit when edge-native agents co-optimize spectrum usage, slicing, and RAN–edge orchestration to meet stringent low-latency and high-reliability demands. Despite this promise, realizing EGI still requires agent-aware protocol design, cross-layer co-optimization of computation–communication–control, and validation on large-scale edge testbeds. Motivated by rapidly growing research in this area, this workshop centers on the intersection of Agentic AI and edge intelligence, inviting original work that advances algorithms, systems, and real-world deployments toward Edge General Intelligence in communications and networks. Topics of interest include, but are not limited to: 

  • Agentic AI-driven and agentification-enhanced edge resource management
  • Semantic communications & intent-driven networking enabled by edge LLM and agentified protocols
  • Adaptive edge/cloud offloading and collaborative intelligence with multi-agent systems under agentification frameworks
  • Agent-based spectrum management and interference mitigation for 5G/6G edge systems
  • QoS/QoE optimization via edge LLM-based cognitive agents and semantic networking
  • Decentralized multi-agent coordination in IoT, vehicular, and UAV networks by agentification
  • Physical-/MAC-layer co-design with agentic control and online learning at the edge
  • Dynamic protocol and API design for multi-agent collaboration and tool orchestration enabled by agentification
  • Embodied edge intelligence for real-world wireless interactions and adaptive networking
  • 5G/6G edge integration: URLLC, network slicing, and RAN/edge orchestration with Agentic AI
  • Testbeds, benchmarks, and real-world deployments of agentified edge agent systems
  • Agentic AI for trustworthy, secure, and explainable edge intelligence
  • Digital twin–driven optimization with agent-based models
  • Federated/multi-agent learning for privacy-preserving edge AI
  • Sustainability and green networking with agentified intelligence
  • Benchmarking frameworks and open datasets for Edge General Intelligence 

Organizers:

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WS13. Third Workshop on Physical Layer Security for Wireless Communications

Abstract

 Wireless security has attracted massive attention from academia and industry. There has been exponentially increasing number of wireless devices and pervasive integrations of wireless services into our everyday life. However, due to the broadcast nature of the wireless channels, securing wireless communications is extremely challenging. The security of wireless networks is currently protected by upper-layer cryptographic methods, but recently physical layer-based approaches have emerged as promising means to secure wireless transmissions. 

Physical layer security (PLS) exploits the unique and random characteristics of wireless channels such as fading or noise to design secure transmission strategies, extract their randomness for key generation, and leverage the unique channel features for authentication. Over the past few years, PLS has been widely recognized as a key enabling technique for secure wireless communications in future networks. In addition, machine learning and deep learning have shown great potential to enhance PLS. 

This workshop aims to bring together practitioners and researchers from both academia and industry for discussion and technical presentations on fundamental and practically relevant questions related to many challenges arising from secure physical layer communications. It also aims to provide the industry with fresh insight into the development of practical PLS in future wireless networks. In line with such objectives, original contributions are solicited on topics of interest to include, but not limited to, the following: 

  • Artificial intelligence-generated content (AIGC) for PLS
  • Large language model (LLM) for PLS
  • Application of machine learning and deep learning for PLS
  • Secure signal processing
  • Fundamental theory of PLS
  • Secure advanced spatial diversity techniques (secure cooperative communications, secure two-way cooperative communications, secure multiple-input multiple-output (MIMO) communications and secure cognitive radio systems)
  • PLS for the Internet of Things (IoT), 5G and 6G
  • Secret key generation and agreement
  • Covert and stealth wireless communications
  • Physical layer authentication using channel features
  • Radio frequency fingerprint identification using hardware impairments
  • PLS for massive MIMO systems, unmanned aerial vehicle (UAV)-aided systems, and millimeter wave/THz transmission
  • PLS for emerging technologies such as integrated sensing and communications, near-field communications, intelligent reflecting surface, and next-generation multiple access
  • Cross-layer designs for security
  • Prototype, practical testbeds, and performance evaluation for PLS 

General Chair

  • Prof. F. Javier Lopez-Martinez, University of Granada, Spain, fjlm@ugr.es
  • Prof. Nan Yang, Australian National University, Australia, nan.yang@anu.edu.au

Technical Program Committee Chairs

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WS14. IEEE 1st International Workshop on Next-Generation Advanced Industrial Internet of Things (IIoT)

Abstract

The IEEE 1st International Workshop on Next-Generation Advanced Industrial Internet of Things (IIoT) aims to provide a premier forum for researchers, engineers, and industry practitioners to present and exchange groundbreaking innovations, emerging trends, and transformative technologies that will shape the future of industrial wireless networks.

The IIoT is transforming manufacturing, automation, and smart infrastructure by enabling seamless connectivity among machines, sensors, and control systems. At the heart of IIoT, short-range wireless communication technologies play a pivotal role in meeting the fundamental requirements of industrial production and manufacturing. These include automated control within factories, on-site data acquisition, horizontal system integration, and vertical enterprise integration. From a communication perspective, such technologies must deliver stringent guarantees in real-time performance, determinism, and reliability for industrial data transmission. Beyond basic connectivity, they must also tackle critical industrial demands such as interoperability across heterogeneous systems, intrinsic safety in hazardous environments, functional safety for equipment and personnel, robust information security, high availability to minimize downtime, and seamless integration with legacy infrastructures. General-purpose communication solutions, therefore, cannot be directly transplanted into industrial settings without significant adaptation.

The future of industrial connectivity lies in the convergence and co-evolution of diverse wireless technologies. Instead of a performance race among isolated protocols, the next-generation paradigm is moving toward an intelligent connectivity ecosystem characterized by multi-technology integration, heterogeneous interoperability, and coordinated evolution. This workshop is particularly timely, taking place at a critical juncture where several technological megatrends are converging: the maturation of 5G-Advanced, the initial standardization of 6G and next-generation Wi-Fi, as well as the rapid rise of AI-native network architectures. Together, these developments are fundamentally reshaping the landscape of industrial wireless networks and creating a critical window to redefine the communication paradigms required for the transition from automated to truly autonomous and cognitive industrial operations.

This workshop directly addresses this inflection point by bringing together cutting-edge research on short-range wireless communication technologies for IIoT. We invite original contributions that cover theoretical foundations, algorithmic advances, system designs, and experimental validations that pave the way for next-generation industrial connectivity. The original submissions on the following (but not limited to) topics are welcome:

  • Wireless protocols and standards for IIoT;

  • Case studies and real-world deployments;

  • Low-power and energy-efficient communications;

  • Real-time and reliable wireless communications;

  • AI/ML techniques for optimizing industrial wireless networks;

  • Fully integrated, ultra-low-power and full-bandwidth SoC;

  • Security, trust, dependability and reliability in industrial wireless networks;

  • Prototyping and experimental validation;

  • Other advanced technologies for IIoT.

Organizers:

  • Bin Wu, North China University of Technology, China
  • Kan Zheng, Ningbo University, China
  • Yonghui Li, University of Sydney, Australia
  • Haojun Yang, North China University of Technology, China
  • Kuan Zhang, University of Nebraska-Lincoln, USA
  • Xuming Fang, Southwest Jiaotong University, China
  • Chong Yu, University of Cincinnati, USA

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WS15. Cross-Integration of AI, ML, and Quantum Technologies for Sustainable Wireless Systems

Abstract

The increasing complexity of modern wireless communication networks, particularly within multi-agent systems, demands innovative approaches to ensure sustainability, efficiency, and scalability. This workshop will delve into how the cross-integration of advanced technologies, including collaborative & adaptive learning models, AI/ML-driven optimization, generative AI, and quantum computing can drive sustainable solutions for multi-agent wireless networks and communications. 

Collaborative and adaptive learning models, including federated, meta, and adaptive learning, enhance decentralized processing, real-time adaptation, and robustness in managing dynamic and complex network environments, such as the Internet of Things (IoT) and the Internet of Vehicles (IoV). When combined with AI/ML-based optimization, these models improve resource management and facilitate real-time decision-making in highly dynamic systems. Furthermore, integrating these technologies with neuromorphic computing enables ultra-low power, adaptive processing, optimizing wireless networks for human-centric communications that require personalized, low-latency interactions. Generative AI further contributes to sustainability by optimizing resource management, communication protocols, and data processing, especially when integrated with edge computing. This integration reduces energy consumption by enabling localized data processing, minimizing energy-intensive data transfers, and allowing multi-agent systems to dynamically adapt to changing network conditions. This ensures high performance and operational efficiency, even in resource-constrained environments. In parallel, AI-driven resource optimization, in combination with collaborative learning and generative AI, ensures efficient resource management in multi-agent networks, making them adaptable and sustainable. Additionally, the integration of quantum computing introduces new capabilities for solving complex optimization problems that are beyond the reach of classical computing. Hybrid quantum-classical systems enable more efficient resource management and faster decision-making, particularly in scenarios that require high computational power and precision, such as large-scale IoT networks. 

By focusing on the cross-integration of these interconnected technologies, this workshop offers a comprehensive exploration of how they collectively contribute to the sustainability, scalability, and efficiency of multi-agent wireless networks. The workshop will provide valuable insights into developing practical and innovative solutions that can be applied in real-world scenarios. 

The workshop will cover the latest advances and challenges in sustainable multi-agent wireless networks, focusing on collaborative & adaptive learning systems, generative AI, quantum-enhanced computing, and AI/ML-based strategies for network optimization. The topics of interest include edge computing, resource management, energy efficiency, security, and privacy, with a strong emphasis on the integration of AI, ML, and quantum technologies. This workshop stands out by emphasizing the cross-integration of advanced and emerging technologies to tackle complex challenges in wireless and multi-agent systems. Unlike the topics at main conference symposia that may focus on individual technologies, our approach fosters interdisciplinary dialogue and prioritizes practical solutions for IoT and IoV networks. This is aimed at researchers, engineers, and industry practitioners, providing a platform to exchange ideas, share insights, and explore future directions for next-generation wireless networks and communications.

Organizers:

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WS16. Workshop on Sensing-Communication-Control (SCC) Synergy for Collaborative Autonomous Driving in IoV

Abstract

The Internet of Vehicles (IoV) is emerging as a key enabler of collaborative autonomous driving, where vehicles and infrastructure interact through V2X communications to achieve safe and efficient traffic operations. While single-vehicle intelligence has advanced rapidly, it remains constrained by limited onboard sensing and computing, leading to blind spots and incomplete decision-making. To unlock the full potential of IoV, collaborative perception, decision-making, and control are required. However, large-scale collaboration among vehicles and infrastructure imposes unprecedented demands on V2X networks: ultra-reliable, low-latency exchange of massive sensory data. Given the limited and dynamic nature of communication resources, transmitting all raw information is infeasible. The key challenge is thus to design intelligent SCC synergy mechanisms that determine what, when, and how to sense, communicate, and control in a resource-constrained, highly dynamic environment.

This motivates a new paradigm: Sensing-Communication-Control (SCC) Synergy in IoV systems. Such synergy can be achieved by leveraging a range of innovative approaches, including: 

  • Value-of-Information (VoI)-driven communication and control, which quantifies the utility of sensed data for downstream tasks.

  • Task-oriented and learning-enabled SCC, which adapts decisions to dynamic traffic and network conditions.

  • Edge and distributed intelligence, which enables scalable, low-latency collaboration across heterogeneous vehicles and infrastructure.

This workshop invites original research contributions addressing theoretical foundations, algorithmic innovations, system design, and experimental validation of SCC synergy in IoV systems. It aims to bring together experts from wireless communications, control, distributed AI, and transportation systems to foster interdisciplinary advances in information-centric and task-oriented collaboration for the next generation of intelligent transportation.

We invite researchers and practitioners to submit their latest research and innovative solutions in SCC synergy for collaborative autonomous driving. Topics include but are not limited to:

  • Value-of-Information (VoI) theories and metrics in IoV systems
  • Task-oriented SCC synergy for collaborative autonomous driving
  • Resource allocation and scheduling for V2X networks under communication and computing constraints
  • Collaborative perception and control under constrained communication resources
  • Distributed and edge AI for intelligent SCC synergy
  • Joint optimization of sensing, communication, and control
  • Safety, reliability, and resilience guarantee in SCC synergy
  • Testbeds, simulations, and real-world validations of SCC synergy in IoV
  • Spectrum management, standardization, and regulatory aspects for IoV SCC synergy

Organizers:

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WS17. Third International Workshop on Holistic 6G Radio Design

Abstract

Research on the sixth generation (6G) wireless system, which started about eight years ago, is now moving to the standardization phase. The 6G system will be conceived as a holistic end-to-end (E2E) architecture that seamlessly fuses communication, sensing, computing, and AI, supported by a sustainable and flexible platform. It will deliver intelligent, immersive, and human-centric services, enabling a deep integration of the digital and physical worlds while ensuring resilience, inclusivity, and global connectivity. As 6G moves to the standardization phase, 6G development is expanding from research to systemization analysis, early validation, and proof of concept. It progresses from the 6G key enablers that connect the human, physical, and digital worlds to advanced technology readiness. The goal is to develop a blueprint for a sustainable, inclusive, and trustworthy 6G platform capable of meeting future societal and industrial needs while driving transformative change. Given the current stage of 6G development, this workshop aims to provide a platform to discuss holistic 6G radio design mainly covering the following two key tracks of IEEE WCNC 2026: ‘Emerging Technologies, Network Architectures, and Applications’ and ‘Machine Learning and Optimization for Wireless Systems’. Timeliness: It has been almost eight years since 6G research started. Different views on the 6G vision have started to concretize. Alongside, ITU-T is also about to finalize the technical description of IMT 2030, which will define what 6G will be. The draft IMT-2030 framework1 points towards a holistic design for 6G that emphasizes ubiquitous intelligence, sustainability, security and resilience, and ’connecting the unconnected’ as the core design principles. All these points to the relevance and timelines of the proposed third edition of the workshop on holistic 6G radio design, two earlier editions of which were organized in conjunction with EuCNC | 6G Summit 20242 and 20253.

Topics of interest: This workshop’s topics of interest include, but are not limited to:

  • AI-driven 6G air interface
  • Holistic radio resource management framework
  • Holistic design enabling low-power, zero-energy and sustainable 6G networks
  • Integrated sensing and communication (ISAC)
  • The role of physical layer security in 6G
  • Energy networking in energy autonomous 6G systems
  • Holistic integration and terrestrial and non-terrestrial networks in 6G
  • 6G resilience
  • Experimentation and proof-of-concept results on holistic 6G radio design
  • Holistic transceiver design
  • Communication-control-compute co-design
  • Goal-oriented and semantic communications.

Organizers:

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WS18. IEEE Workshop on Intelligent and Programmable Open 6G Radio Access Networks (INTRAN)

Abstract

 The advent of 6G technology marks the beginning of an era defined by intelligent, open, and highly programmable networks that cater to a wide array of services across different verticals. These networks are expected to seamlessly integrate advanced AI-driven solutions to address the demands of both human and machine communications, while ensuring flexibility, efficiency, and security. The intelligent and programmable capabilities of 6G, particularly in the Radio Access Network (RAN), represent a significant shift from traditional network designs, enabling unprecedented levels of autonomy, adaptability, and performance optimization. 

INTRAN Workshop on Intelligent and Programmable Open 6G Radio Access Networks aims to bring together leading researchers, practitioners, and industry experts to explore the potential and challenges associated with the deployment of intelligent and programmable RANs in 6G. As the next-generation RAN architecture evolves, integrating AI/ML techniques, software-defined networking (SDN), and network function virtualization (NFV) will be crucial in realizing dynamic and context-aware network operations. This workshop will focus on the critical role of programmability and intelligence in achieving key 6G objectives such as ultra-reliable low-latency communications (URLLC), massive machine-type communications (mMTC), and enhanced mobile broadband (eMBB). Additionally, the workshop will explore the integration of Open RAN standards, enabling innovation, interoperability, and openness in 6G networks. The openness and programmability promoted by Open RAN also introduce new security challenges that must be addressed to ensure the robustness and reliability of these networks. This workshop will delve into how programmable and intelligent systems can be designed to not only enhance performance but also fortify security, focusing on developing strategies to protect against emerging threats in an open and decentralized RAN environment. The discussion will include secure by design principles, AI-driven threat detection, and mitigation strategies tailored for the unique challenges posed by the open and programmable nature of 6G ORANs.

Organizers:

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WS19. The 1st Workshop on Low-Altitude Wireless Networks

Abstract

As the global demand for intelligent aerial services continues to grow, researchers have turned their attention to the low-altitude airspace (typically ranging from 100 to 3,000 meters above ground) as a new frontier for digital infrastructure. A common vision in this evolving landscape is that the low-altitude airspace would not merely serve as an aerial extension of traditional communication networks, but would actually become a fully integrated, mission-aware platform that supports seamless connectivity, real-time sensing, distributed control, and onboard intelligence. Inspired by recent advances in wireless communications, robotics, and autonomous control, the concept of Low-Altitude Wireless Networks (LAWN) has emerged as a promising framework to meet these requirements. Unlike conventional aerial communication systems that treat unmanned aerial vehicles (UAVs) primarily as flying relays or base stations, LAWN envisions a tightly coupled cyber-physical system where drones, ground nodes, and edge computing resources collaboratively support highly dynamic, service-driven aerial operations. In this architecture, communication, sensing, and control are jointly optimized to deliver critical services such as real-time situational awareness, cooperative navigation, and autonomous mission execution.

Realizing LAWN poses significant challenges. A fundamental question arises: How can we design a unified network architecture capable of supporting such diverse and stringent demands? A natural starting point is the development of layered functional planes (data, control, sensing, and computing) that can adapt to mission requirements while maintaining operational safety and efficiency. However, achieving this integration is far from trivial. LAWN must cope with highly dynamic topologies, strict latency and reliability constraints, limited onboard energy, and complex regulatory environments. These challenges call for new cross-layer design methodologies that bridge communication theory, control systems, edge AI, and spectrum policy.

The importance of LAWN is reinforced by several large-scale industrial, regulatory, and standardization efforts already under way worldwide. Aviation authorities and technology companies are developing Unmanned Aircraft Systems Traffic Management (UTM) platforms specifically for low-altitude corridors, while 3GPP has begun standardizing aerial user equipment connectivity in 5G-Advanced and early 6G releases. Despite growing research interest from academia, industry, as well as the government, there has been no dedicated effort to systematically consolidate the advances in this emerging area. This workshop aims to bring together academic and industrial researchers from the fields of communications, signal processing, robotics, and aerospace to identify, investigate, and advance the design of robust, intelligent, and mission-aware LAWN systems. Special attention will be given to the physical and MAC layer challenges, network architecture, semantic-aware data processing, and system-level integration with Unmanned Traffic Management (UTM), Remote ID, and cyber-physical security protocols. Topics of interest include but are not limited to:

  • Waveforms and signal processing for high-mobility LAWN nodes
  • Architectural frameworks for agentic LAWNs and 3D network fabrics
  • Cross-layer optimization and co-design of multi-functions in aerial networks
  • Air-to-ground, air-to-air, and air-to-space channel modeling and measurement campaigns
  • Spectrum management, sharing, and coexistence strategies for 3D airspace
  • Intelligent network management, edge computing, and distributed AI for aerial platforms
  • Integrated sensing and communication (ISAC) tailored for low-altitude operations
  • Semantic and split inference for edge-based control and perception
  • Cooperative sensing, swarm coordination, and real-time situational awareness
  • Ultra-reliable and low-latency communication (URLLC) for command and control
  • Remote ID, UTM compliance, and regulatory-aligned LAWN protocol stacks
  • Cyber-physical security for aerial links under spoofing, jamming, and node failures
  • Experimental platforms, simulation environments, and open-source LAWN benchmarks

Organizers:

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Author and Submission Guidelines

All papers must be submitted on EDAS. Clicking on a workshop title in the list above will direct to detailed description of that workshop and to its submission link.

Important IEEE Policy Announcement: The IEEE reserves the right to exclude a paper from distribution after the conference (including its removal from IEEE Explore) if the paper is not presented at the conference.

Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference at the same time (double submission). These matters are taken very seriously and the IEEE Communications society will take action against any author who engages in either practice. Follow these links to learn more:

IEEE Policy on Plagiarism
IEEE Policy on Double Submission

PLEASE NOTE: To be published in the IEEE WCNC 2026 Workshops Proceedings and to be eligible for publication in IEEE Xplore®, an author of an accepted workshop paper is required to register for the conference at the “Workshop Registration” rate and the paper must be presented by an author of that paper at the conference unless the Workshops Chairs grant permission for a substitute presenter in advance of the event and who is qualified both to present and answer questions.  Non-refundable registration fees must be paid prior to uploading the final IEEE formatted, publication-ready version of the paper. For authors with multiple accepted papers, one registration is valid for up to 3 papers. Accepted and presented papers will be published in the IEEE WCNC 2026 Workshops Proceedings and submitted to IEEE Xplore®.

During the initial paper submission process, it is the authors' responsibility to ensure that the author list and the paper title of the submitted pdf file is an exact match to the author list and paper title on the paper registration page.  In particular, the paper registration page must include all co-authors, not just the submitting author. Failure to comply with this rule might result in your paper being withdrawn from the review process. Please be aware that the authors list of an accepted paper can NOT be changed in the final manuscript. Only PDF files will be accepted for the review process, and all papers must be submitted to WCNC 2026 Workshops on EDAS using the submission link of the intended workshop.

IMPORTANT:

The page length limit for all initial submissions for review is SIX (6) printed pages (10-point font) and must be written in English. Initial submissions longer than SIX (6) pages will be rejected without review.

All final submissions of accepted papers must be written in English with a maximum paper length of six (6) printed pages (10-point font) including figures. No more than one (1) additional printed page (10-point font) may be included in final submissions and the extra page (the 7th page) will incur an over length page charge of US$100. All final papers must be submitted through EDAS. Please refer to the acceptance letter for the instructions on how to upload final papers.

You may also use one of the following templates for Microsoft Word: A4, US letter.

Download Standard IEEE conference templates for LaTeX formats >>

Please address all questions to the IEEE WCNC 2026 Co-Chairs, Prof. Yacine Ghamri-Doudane (University of La Rochelle, France),  Prof. Derrick Wing Kwan Ng (New South Wales University, Australia), and Prof. Mohamad Yusof Alias (Multimedia University, Malaysia), via emails: yacine.ghamri@univ-lr.fr, w.k.ng@unsw.edu.au, yusoff@mmu.edu.my.