activity
20112023
most citedFundamental Tradeoffs on Green Wireless Networks

122 citations · 589 across the 48 of their papers we have counts for

collaborators

85 papers

eess.SP2023

Simultaneous Beam Training and Target Sensing in ISAC Systems with RIS

Kangjian Chen, Chenhao Qi, Octavia A. Dobre +1

This paper investigates an integrated sensing and communication (ISAC) system with reconfigurable intelligent surface (RIS). Our simultaneous beam training and target sensing (SBTT…

cs.IT2022

Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions

Mengyuan Lee, Guanding Yu, Huaiyu Dai +1

As an efficient graph analytical tool, graph neural networks (GNNs) have special properties that are particularly fit for the characteristics and requirements of wireless communica…

eess.SP20221 cited

Wireless Semantic Transmission via Revising Modules in Conventional Communications

Peiwen Jiang, Chao-Kai Wen, Shi Jin +1

Semantic communication has become a popular research area due its high spectrum efficiency and error-correction performance. Some studies use deep learning to extract semantic feat…

cs.IT20221 cited

Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO

Jiabao Gao, Caijun Zhong, Geoffrey Ye Li +2

Hybrid analog-digital (HAD) architecture is widely adopted in practical millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems to reduce hardware cost and e…

cs.LG20224 cited

Over-The-Air Federated Learning under Byzantine Attacks

Houssem Sifaou, Geoffrey Ye Li

Federated learning (FL) is a promising solution to enable many AI applications, where sensitive datasets from distributed clients are needed for collaboratively training a global m…

eess.SP2022

Low-Complexity Multicast Beamforming for Millimeter Wave Communications

Zhaohui Li, Chenhao Qi, Geoffrey Ye Li

To develop a low-complexity multicast beamforming method for millimeter wave communications, we first propose a channel gain estimation method in this article. We use the beam swee…