205 citations · 325 across the 14 of their papers we have counts for
14 papers
Cross-Layer Optimization: Joint User Scheduling and Beamforming Design With QoS Support in Joint Transmission Networks
Shiwen He, Zhenyu An, Jianyue Zhu +3
User scheduling and beamforming design are two crucial yet coupled topics for wireless communication systems. They are usually optimized separately with conventional optimization m…
An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks
Shiwen He, Shaowen Xiong, Zhenyu An +3
In wireless network, the optimization problems generally have complex constraints, and are usually solved via utilizing the traditional optimization methods that have high computat…
Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems
S. He, J. Yuan, Z. An +3
In multiuser communication systems, user scheduling and beamforming (US-BF) design are two fundamental problems that are usually studied separately in the existing literature. In t…
Efficient Federated Meta-Learning over Multi-Access Wireless Networks
Sheng Yue, Ju Ren, Jiang Xin +3
Federated meta-learning (FML) has emerged as a promising paradigm to cope with the data limitation and heterogeneity challenges in today's edge learning arena. However, its perform…
An Overview on the Application of Graph Neural Networks in Wireless Networks
S. He, S. Xiong, Y. Ou +4
In recent years, with the rapid enhancement of computing power, deep learning methods have been widely applied in wireless networks and achieved impressive performance. To effectiv…
Beamforming Design for Multiuser uRLLC with Finite Blocklength Transmission
Shiwen He, Zhenyu An, Jianyue Zhu +3
Driven by the explosive growth of Internet of Things (IoT) devices with stringent requirements on latency and reliability, ultra-reliability and low latency communication (uRLLC) h…
Cache-Enabled Coordinated Mobile Edge Network: Opportunities and Challenges
Shiwen He, Wei Huang, Jiaheng Wang +3
Cache-enabled coordinated mobile edge network is an emerging network architecture, wherein serving nodes located at the network edge have the capabilities of baseband signal proces…
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network
Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam +2
Classifying limb movements using brain activity is an important task in Brain-computer Interfaces (BCI) that has been successfully used in multiple application domains, ranging fro…
Optimal Pricing for Job Offloading in the MEC System with Two Priority Classes
Lingxiang Li, Marie Siew, Tony Q. S. Quek +1
Multi-Access edge computing (MEC) is an emerging paradigm where users offload computationally intensive jobs to the Access Point (AP). Given that the AP's resources are shared by s…
Cloud-Edge Coordinated Processing: Low-Latency Multicasting Transmission
Shiwen He, Ju Ren, Jiaheng Wang +5
Recently, edge caching and multicasting arise as two promising technologies to support high-data-rate and low-latency delivery in wireless communication networks. In this paper, we…
Hybrid Precoder Design for Cache-enabled Millimeter Wave Radio Access Networks
Shiwen He, Yongpeng Wu, Ju Ren +3
In this paper, we study the design of a hybrid precoder, consisting of an analog and a digital precoder, for the delivery phase of downlink cache-enabled millimeter wave (mmWave) r…
An Incentive-Aware Job Offloading Control Framework for Mobile Edge Computing
Lingxiang Li, Tony Q. S. Quek, Ju Ren +3
This paper considers a scenario in which an access point (AP) is equipped with a mobile edge server of finite computing power, and serves multiple resource-hungry mobile users by c…
Dynamic Channel Access for Energy Efficient Data Gathering in Cognitive Radio Sensor Networks
Ju Ren, Yaoxue Zhang, Ning Zhang +3
Wireless sensor networks (WSNs) operating in the license-free spectrum suffer from uncontrolled interference as those spectrum bands become increasingly crowded. The emerging cogni…
SACRM: Social Aware Crowdsourcing with Reputation Management in Mobile Sensing
Ju Ren, Yaoxue Zhang, Kuan Zhang +2
Mobile sensing has become a promising paradigm for mobile users to obtain information by task crowdsourcing. However, due to the social preferences of mobile users, the quality of…