activity
20182026
most citedFederated Learning-Based Localization with Heterogeneous Fingerprint Database

31 citations · 45 across the 11 of their papers we have counts for

collaborators

11 papers

eess.SP2026

A Covert Precision Satellite Communication Framework Assisted by Cooperative IRSs

Haoyang Wu, Yunfan Bai, Mei Shen +5

Satellite communication (SatCom), as an effective complement to terrestrial networks, has attracted considerable attention from both academia and industry owing to its wide coverag…

cs.IT2023★ 1 cited

Joint Power Allocation and Beamforming for Active IRS-aided Directional Modulation Network

Rongen Dong, Feng Shu, Yongzhao Li +3

To boost the secrecy rate (SR) of the conventional directional modulation (DM) network and overcome the double fading effect of the cascaded channels of passive intelligent reflect…

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★ 4 cited

Providing Location Information at Edge Networks: A Federated Learning-Based Approach

Xin Cheng, Tingting Liu, Feng Shu +3

Recently, the development of mobile edge computing has enabled exhilarating edge artificial intelligence (AI) with fast response and low communication cost. The location informatio…

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…

eess.SP2022★ 31 cited

Federated Learning-Based Localization with Heterogeneous Fingerprint Database

Xin Cheng, Chuan Ma, Jun Li +3

Fingerprint-based localization plays an important role in indoor location-based services, where the position information is usually collected in distributed clients and gathered in…