From the 1 of 14 linked papers with an AI index.
14 papers
Covert Semantic Transmission in ISAC: Dual-Functional Waveform Design and Rectified Flow-Assisted Recovery
Yunfan Bai, Yuwen Qian, Cheng Zeng +5
The paper proposes CoSMIC, a framework that embeds semantic information into a dual-functional ISAC waveform while maintaining covertness, and introduces a rectified flow refiner t…
Alternating Optimization for Joint Resource Allocation in Full-Duplex Multi-Sector Fluid Antenna-Enabled Near-Field Systems
Jingxuan Zhou, Yinchao Yang, Zhaohui Yang +2
This paper proposes a full duplex fluid antenna near field system (FD-FANS) with a multi-sector antenna array that jointly exploits resource allocation, antenna mobility, and group…
WirelessAgent: A Unified Agent Design for General Wireless Resource Allocation Problem without Current Channel State Information
Ran Yi, Ruopeng Xu, Dongshu Zhao +5
This paper investigates the agent design for solving the wireless resource allocation problem without sufficient channel state information (CSI), which cannot be effectively solved…
TOIB: Task-Oriented Orthogonalised Information Bottleneck for Distributed Semantic Communication
Jiaxiang Wang, Zhaohui Yang, Yahao Ding +2
Task-oriented semantic communication emerges as a crucial paradigm for next-generation wireless networks, aiming to efficiently transmit task-relevant information while reducing in…
Joint Device Pairing and Bandwidth Allocation Optimisation for Semantic Feature Multiple Access Networks
Jiaxiang Wang, Zhaohui Yang, Mingzhe Chen +1
This paper presents a Semantic Feature Multiple Access (SFMA) framework for multi-user semantic communication in downlink wireless systems. By extending SwinJSCC to a two-user supe…
Semantic Feature Multiple Access Empowered Integrated Learning and Communication Networks
Jiaxiang Wang, Zhouxiang Zhao, Yahao Ding +4
Integrated learning and communication (ILAC) unifies learned transceivers with radio resource management, where semantic feature multiple access (SFMA) enables paired users to supe…