Room: MR 305
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
- Dusit Niyato, Nanyang Technological University, Singapore
- Weijie Yuan, Southern University of Science and Technology, China
- Eirini Eleni Tsiropoulou, Arizona State University, US
- Geng Sun, Jilin University, China
- Jiacheng Wang, Nanyang Technological University, Singapore
- Baha Eddine Youcef Belmekki, Heriot-Watt University, UK
WS19-S1:
Time: 09:00 – 10:30
Room: MR305
Chair: Changyuan Zhao
Presentations:
1571230297: Joint Pickup and Trajectory Optimization for Cellular Cargo UAV Under Connectivity and Energy Constraints
Wenjie Li; Han Zheng; Fahui Wu; Yu Xu; Yipeng Liang; Huabing Lu; Dingcheng Yang
1571230341: Enhancing Secret Key Generation for UAV Communications via Codeword Reconstruction
Yizhuo Wang; Qinghe Du; Ning Shen; Xiao Tang; Shijiao Zhang; Lei Zhao; Yang Hu
1571231070: A Lightweight Dual-Level Fusion Network for MIMO Automatic Modulation Recognition
Yuxiao Ma; Yumeng Wang; Shuo Chang; Weiwei Jiang; Sai Huang
1571233618: LLM-Empowered Covert Control in Low-Altitude Wireless Networks
Guoliang Yang; Yi Wu; Xiaotong Zhao; Yanxi Xie; Tao Liu
WS19-S2:
Time: 11:00 – 12:30
Room: MR305
Chair: Jiacheng Wang
Presentations:
1571233781: Spectrum and Device State-Aware anti-Jamming Resource Allocation for Dynamic UAV Networks
Huanyu Xie; Zhipeng Lin; Yunhong He; Yongjie Xu; Jie Zeng; Qiuming Zhu; Hongyu Li; Qihui Wu
1571233813: Semantic-Aware Transmission via Small Object Detection over Low-Altitude Wireless Networks
Yufei Du; Zhouxiang Zhao; Lijie Yang; Chen Zhu; Zhaoyang Zhang; Zhaohui Yang
1571233850: Physical Inspired Intelligent Detection for Drone Geological Survey in Low-Altitude Networks
Han Sun; Chen Baolin; Dongxiao Li; Chen Zhu; Chongwen Huang; Zhaohui Yang
1571237081: Networked ISAC for 3D Air-Corridor: Joint UAV Trajectory and Beamforming Design
Yunfei Peng; ZiXiang Ren; Jie Xu
1571239589: HGNN-Based Energy-Efficient Beamforming and Power Control for Cellular-Connected UAV Communications with Finite Resolution ADC/DACs
Lifeng Lai; Fu-Chun Zheng; Jingjing Luo; Daquan Feng
WS19-S3:
Time: 14:00 – 15:30
Room: MR305
Chair: Changyuan Zhao
Presentations:
1571240352: UAV-Relay and UAV-SAR Assisted ISAC System for Target Areas Imaging
Jiayi Zhou; Xiangyin Zhang; Kaiyu Qin; Feng Yang; Changxin Shi; Libo Wang; Deyu Song
1571240489: Multidimensional Resource Allocation Based on Hierarchical Asynchronous Multi-Agent Reinforcement Learning in Power Line Inspection
Chongmeng Zhang; Yitong Liu; Tianjiao Chen; Xinyao Wang; Jing Wang; Hongwen Yang
1571240601: Feature Importance-Aware Dual-Branch Coding for Task-Oriented UAV Adaptive Transmission
Yingmin Qiu; Shujun Han; Bizhu Wang; Mengying Sun; Xiaodong Xu
1571240603: Environment-Adaptive UAV Trajectory Optimization via Kernel Density Estimation
Yuchuan Zhou; Guanwang Jiang; Qiuming Zhu; Ziye Jia; Qihui Wu