activity
20182022
most citedAn Incentive-Aware Job Offloading Control Framework for Mobile Edge Computing

5 citations · 7 across the 7 of their papers we have counts for

collaborators

9 papers

cs.IT2022

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…

cs.IT2022

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…

cs.IT2020

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…

eess.SP20191 cited

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…

cs.LG2019

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…

cs.IT2019

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…