activity
20152022
most citedMulti-Armed Bandit Based Client Scheduling for Federated Learning

313 citations · 401 across the 6 of their papers we have counts for

collaborators

10 papers

cs.LG202269 cited

One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation

Han Hu, Xingwu Zhu, Fuhui Zhou +3

Semantic communication in the 6G era has been deemed a promising communication paradigm to break through the bottleneck of traditional communications. However, its applications for…

eess.SY20225 cited

Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network

Han Hu, Weiwei Song, Qun Wang +2

Mobile Edge Computing (MEC) has recently emerged as a promising technology in the 5G era. It is deemed an effective paradigm to support computation-intensive and delay critical app…

cs.IT2020313 cited

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…

cs.IT2020

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…

cs.IT2018

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…

cs.IT2018

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…