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20242026
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9 papers · 1 filter

eess.SP2026

Unlocking Cross-Scenario Physical Layer Security: A Mixture-of-Experts Framework with Generative Diffusion Models

Xiao Tang, Tong Hui, Chao Shen +4

The future 6G networks are expected to incorporate a proliferation of wireless services in diverse environments, which presents a significant challenge for information security. Co…

eess.SP2026

Time-Slotted Multi-Cluster UAV AirComp with Energy-Awareness: A Pointer Network-Assisted Soft Actor-Critic Learning Framework

Xunqiang Lan, Xiao Tang, Ruonan Zhang +2

Over-the-air computation (AirComp) has emerged as a promising approach for massive data aggregation, which is yet challenged by the channel variations, task distributions, and inhe…

eess.SP2026

Energy-Efficient Hybrid Data Computation via Coordinated AirComp and Edge Offloading

Yudan Jiang, Xiao Tang, Jinxin Liu +3

The development of 6G networks brings an increasing variety of data services, which motivates the hybrid computation paradigm that coordinates the over-the-air computation (AirComp…

eess.SP2026

Channel-Aware Conditional Diffusion Model for Secure MU-MISO Communications

Tong Hui, Xiao Tang, Yichen Wang +3

While information securityis a fundamental requirement for wireless communications, conventional optimization based approaches often struggle with real-time implementation, and dee…

eess.SP2025

Active RIS-Aided Anti-Jamming Wireless Communications: A Stackelberg Game Perspective

Xiao Tang, Zhen Ma, Bin Li +4

The pervasive threat of jamming attacks, particularly from adaptive jammers capable of optimizing their strategies, poses a significant challenge to the security and reliability of…

eess.SP2025

Energy-Efficient Integrated Communication and Computation via Non-Terrestrial Networks with Uncertainty Awareness

Xiao Tang, Yudan Jiang, Ruonan Zhang +3

Non-terrestrial network (NTN)-based integrated communication and computation empowers various emerging applications with global coverage. Yet this vision is severely challenged by…

eess.SP2025

Unfolded Deep Graph Learning for Networked Over-the-Air Computation

Xiao Tang, Huirong Xiao, Chao Shen +4

Over-the-air computation (AirComp) has emerged as a promising technology that enables simultaneous transmission and computation through wireless channels. In this paper, we investi…

eess.SP2025

Deep Graph Reinforcement Learning for UAV-Enabled Multi-User Secure Communications

Xiao Tang, Kexin Zhao, Chao Shen +4

While unmanned aerial vehicles (UAVs) with flexible mobility are envisioned to enhance physical layer security in wireless communications, the efficient security design that adapts…

eess.SP2024

Deep Learning-Assisted Jamming Mitigation with Movable Antenna Array

Xiao Tang, Yudan Jiang, Jinxin Liu +3

This paper reveals the potential of movable antennas in enhancing anti-jamming communication. We consider a legitimate communication link in the presence of multiple jammers and pr…