activity
20202023
most citedOptimal Measurement of Drone Swarm in RSS-based Passive Localization with Region Constraints

19 citations · 34 across the 9 of their papers we have counts for

collaborators

9 papers

cs.GT2023★ 2 cited

Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning

Shunfeng Chu, Jun Li, Kang Wei +4

Hierarchical Federated Learning (HFL) is a distributed machine learning paradigm tailored for multi-tiered computation architectures, which supports massive access of devices' mode…

cs.IT2023★ 1 cited

Precoding and Beamforming Design for Intelligent Reconfigurable Surface-Aided Hybrid Secure Spatial Modulation

Feng Shu, Lili Yang, Yan Wang +4

Intelligent reflecting surface (IRS) is an emerging technology for wireless communication composed of a large number of low-cost passive devices with reconfigurable parameters, whi…

cs.LG2023

Privacy-Preserving Joint Edge Association and Power Optimization for the Internet of Vehicles via Federated Multi-Agent Reinforcement Learning

Yan Lin, Jinming Bao, Yijin Zhang +3

Proactive edge association is capable of improving wireless connectivity at the cost of increased handover (HO) frequency and energy consumption, while relying on a large amount of…

eess.SP2022★ 19 cited

Optimal Measurement of Drone Swarm in RSS-based Passive Localization with Region Constraints

Xin Cheng, Feng Shu, Yifan Li +3

Passive geolocation by multiple unmanned aerial vehicles (UAVs) covers a wide range of military and civilian applications including rescue, wild life tracking and electronic warfar…

cs.IT2022★ 1 cited

Performance Analysis of Wireless Network Aided by Discrete-Phase-Shifter IRS

Rongen Dong, Yin Teng, Zhongwen Sun +5

Discrete phase shifters of intelligent reflecting surface (IRS) generates phase quantization error (QE) and degrades the receive performance at the receiver. To make an analysis of…

cs.MA2022

Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learning

Jie Zhang, Jun Li, Yijin Zhang +5

Intelligent reflecting surface (IRS) is envisioned to be widely applied in future wireless networks. In this paper, we investigate a multi-user communication system assisted by coo…

cs.IT2022

Phase Optimization for Massive IRS-aided Two-way Relay Network

Peng Zhang, Xuehui Wang, Siling Feng +3

In this paper, with the help of an intelligent reflecting surface (IRS), the source (S) and destination (D) exchange information through the two-way decode-and-forward relay (TW-DF…

cs.IT2020★ 2 cited

Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS

Feng Shu, Jiayu Li, Mengxing Huang +5

Intelligent reflecting surface (IRS) is of low-cost and energy-efficiency and will be a promising technology for the future wireless communications like sixth generation. To addres…

cs.IT2020★ 9 cited

Path Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learning

Q. Liu, L. Shi, L. Sun +3

In this letter, we study an unmanned aerial vehicle (UAV)-mounted mobile edge computing network, where the UAV executes computational tasks offloaded from mobile terminal users (TU…