313 citations · 340 across the 2 of their papers we have counts for
6 papers
Multi-Armed Bandit Based Client Scheduling for Federated Learning
Wenchao Xia, Tony Q. S. Quek, Kun Guo +3
By exploiting the computing power and local data of distributed clients, federated learning (FL) features ubiquitous properties such as reduction of communication overhead and pres…
Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration
Juping Zhang, Wenchao Xia, Minglei You +3
This paper studies fast downlink beamforming algorithms using deep learning in multiuser multiple-input-single-output systems where each transmit antenna at the base station has it…
Model-Driven Beamforming Neural Networks
Wenchao Xia, Gan Zheng, Kai-Kit Wong +1
Beamforming is evidently a core technology in recent generations of mobile communication networks. Nevertheless, an iterative process is typically required to optimize the paramete…
A Deep Learning Framework for Optimization of MISO Downlink Beamforming
Wenchao Xia, Gan Zheng, Yongxu Zhu +3
Beamforming is an effective means to improve the quality of the received signals in multiuser multiple-input-single-output (MISO) systems. Traditionally, finding the optimal beamfo…
Power Minimization Based Joint Task Scheduling and Resource Allocation in Downlink C-RAN
Wenchao Xia, Jun Zhang, Tony Q. S. Quek +2
In this paper, we consider the network power minimization problem in a downlink cloud radio access network (C-RAN), taking into account the power consumed at the baseband unit (BBU…
Joint Optimization of Fronthaul Compression and Bandwidth Allocation in Uplink H-CRAN with Large System Analysis
Wenchao Xia, Jun Zhang, Tony Q. S. Quek +2
In this paper, we consider an uplink heterogeneous cloud radio access network (H-CRAN), where a macro base station (BS) coexists with many remote radio heads (RRHs). For cost-savin…