88 citations · 97 across the 7 of their papers we have counts for
7 papers
Achieving Global Optimality for Joint Source and Relay Beamforming Design in Two-Hop Relay Channels
Hongying Tang, Wen Chen, Jun Li +1
This paper deals with joint source and relay beamforming (BF) design for an amplify-and-forward (AF) multi-antenna multirelay network. Considering that the channel state informatio…
Robust Joint Source-Relay-Destination Design Under Per-antenna Power Constraints
Hongying Tang, Wen Chen, Jun Li
This paper deals with joint source-relay-destination beamforming (BF) design for an amplify-and-forward (AF) relay network. Considering the channel state information (CSI) from the…
Achieving Optimality in Robust Joint Optimization of Linear Transceiver Design
Hongying Tang, Wen Chen, Jun Li
This paper presents new results on linear transceiver designs in a multiple-input-multiple-output (MIMO) link. By considering the minimal total mean-square error (MSE) criterion, w…
UAV-Enabled Confidential Data Collection in Wireless Networks
Xiaobo Zhou, Shihao Yan, Min Li +2
This work, for the first time, considers confidential data collection in the context of unmanned aerial vehicle (UAV) wireless networks, where the scheduled ground sensor node (SN)…
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li, Ming Ding +6
In this paper, to effectively prevent information leakage, we propose a novel framework based on the concept of differential privacy (DP), in which artificial noises are added to t…
Bandwidth Slicing to Boost Federated Learning in Edge Computing
Jun Li, Xiaoman Shen, Lei Chen +1
Bandwidth slicing is introduced to support federated learning in edge computing to assure low communication delay for training traffic. Results reveal that bandwidth slicing signif…