Room: MR 307
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 We seek original, completed, and unpublished work that is not currently under review by other journals, magazines, or conferences.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
- Hao Xu, Southeast University, China
- Hanjiang Hong, University College London, UK
- Farshad Rostami Ghadi, University of Granada, Granada, Spain
- Tuo Wu, City University of Hong Kong, Hong Kong
WS10-S1:
Time: 14:00 – 15:30
Room: MR307
Chair: Mr. Zhentian Zhang, Southeast University, China
Presentations:
Keynote: Prof. Tuo Wu, South China University of Technology
“Neural Networks-Enabled Channel Reconstruction for Fluid Antenna Systems: A Data-Driven Approach”
1571233622: Adaptive Covariance Change Detection for Fluid Antenna Systems Under Partial Observation
Runnan Liu; Yin Xu; Xiang Zhang; Wenjun Zhang
WS10-S2:
Time: 16:00 – 17:30
Room: MR307
Chair: Mr. Zhentian Zhang, Southeast University, China
Presentations:
1571233756: On Performance of Fluid Antenna Relay (FAR)-Assisted AAV-NOMA Wireless Network
Ruopeng Xu; Songling Zhang; Zhaohui Yang; Yixuan Chen; Mingzhe Chen; Zhaoyang Zhang; Kai Kit Wong
1571233372: Antenna Coding Optimization for Pixel Antenna Empowered Wireless Communication Using Deep Learning with Heterogeneous Multi-Head Selection
Binzhou Zuo; Shanpu Shen; Hongyu Li
1571228873: A Universal Block Error Rate Bound for Fluid Antenna Systems
Zhentian Zhang; David Morales; Hao Jiang; Christos Masouros
1571229550: Fluid Antenna-Enhanced Flexible Beamforming
Jingyuan Xu; Zhentian Zhang; Jian Dang; Hao Jiang; Zaichen Zhang