640 citations · 1.3k across the 15 of their papers we have counts for
15 papers
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Kang Wei, Jun Li, Chuan Ma +5
Federated learning (FL) enables distributed clients to collaboratively train a machine learning model without sharing raw data with each other. However, it suffers the leakage of p…
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…
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…
NOMA-Based Hybrid Satellite-UAV-Terrestrial Networks for Beyond 5G Maritime Internet of Things
Xinran Fang, Wei Feng, Yanmin Wang +3
Current fifth-generation (5G) networks do not cover maritime areas, causing difficulties in developing maritime Internet of Things (IoT). To tackle this problem, we establish a nea…
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…
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…
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…
Outage Performance for Cooperative NOMA Transmission with an AF Relay
Xuesong Liang, Yongpeng Wu, Derrick Wing Kwan Ng +3
This letter studies the outage performance of cooperative non-orthogonal multiple access (NOMA) network with the help of an amplify-and-forward relay. An accurate closed-form appro…
Delay-Optimal Biased User Association in Heterogeneous Networks
Fancheng Kong, Xinghua Sun, Victor C. M. Leung +1
In heterogeneous networks (HetNets), load balancing among different tiers can be effectively achieved by a biased user association scheme with which each user chooses to associate…
Semi-coherent Detection and Performance Analysis for Ambient Backscatter System
Jing Qian, Feifei Gao, Gongpu Wang +2
We study a novel communication mechanism, ambient backscatter, that utilizes radio frequency (RF) signals transmitted from an ambient source as both energy supply and information c…
Wireless Information and Power Transfer Design for Energy Cooperation Distributed Antenna Systems
Fangchao Yuan, Shi Jin, Kai-Kit Wong +1
Distributed antenna systems (DAS) have been widely implemented in state-of-the-art cellular communication systems to cover dead spots. Recent studies have also indicated that DAS h…
Outage Balancing in Downlink Non-Orthogonal Multiple Access With Statistical Channel State Information
Sulong Shi, Longxiang Yang, Hongbo Zhu
This paper considers a downlink non-orthogonal multiple access (NOMA) system where the source intends to transmit independent information to the users at targeted data rates under…
Power Allocation Schemes for Multicell Massive MIMO Systems
Qi Zhang, Shi Jin, Matthew McKay +2
This paper investigates the sum-rate gains brought by power allocation strategies in multicell massive multipleinput multiple-output systems, assuming time-division duplex transmis…
Power Scaling of Uplink Massive MIMO Systems with Arbitrary-Rank Channel Means
Qi Zhang, Shi Jin, Kai-Kit Wong +2
This paper investigates the uplink achievable rates of massive multiple-input multiple-output (MIMO) antenna systems in Ricean fading channels, using maximal-ratio combining (MRC)…