27 citations · 86 across the 13 of their papers we have counts for
13 papers
TinyQMIX: Distributed Access Control for mMTC via Multi-agent Reinforcement Learning
Tien Thanh Le, Yusheng Ji, John C. S Lui
Distributed access control is a crucial component for massive machine type communication (mMTC). In this communication scenario, centralized resource allocation is not scalable bec…
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems
Xianfu Chen, Celimuge Wu, Tao Chen +5
This paper studies the problem of information freshness-aware task offloading in an air-ground integrated multi-access edge computing system, which is deployed by an infrastructure…
Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications
Xianfu Chen, Celimuge Wu, Zhi Liu +2
Facing the trend of merging wireless communications and multi-access edge computing (MEC), this article studies computation offloading in the beyond fifth-generation networks. To a…
Resource Awareness in Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems
Xianfu Chen, Tao Chen, Zhifeng Zhao +3
This paper investigates an unmanned aerial vehicle (UAV)-assisted mobile-edge computing (MEC) system, in which the UAV provides complementary computation resource to the terrestria…
EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data
Yu Gu, Yantong Wang, Tao Liu +6
Emotion is well-recognized as a distinguished symbol of human beings, and it plays a crucial role in our daily lives. Existing vision-based or sensor-based solutions are either obs…
Understanding the Modeling of Computer Network Delays using Neural Networks
Albert Mestres, Eduard Alarcón, Yusheng Ji +1
Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer ne…
Multipath Transmission Scheduling in Millimeter Wave Cloud Radio Access Networks
Xianfu Chen, Pei Liu, Hang Liu +2
Millimeter wave (mmWave) communications provide great potential for next-generation cellular networks to meet the demands of fast-growing mobile data traffic with plentiful spectru…
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
Xianfu Chen, Honggang Zhang, Celimuge Wu +3
To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is a promising paradigm by providing computing capabilities in close proximity with…
Performance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning
Xianfu Chen, Honggang Zhang, Celimuge Wu +3
To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is emerging as a promising paradigm by providing computing capabilities within radi…
SDN for End-Nodes: Scenario Analysis and Architectural Guidelines
Alberto Rodriguez-Natal, Vina Ermagan, Kien Nguyen +4
The advent of SDN has brought a plethora of new architectures and controller designs for many use-cases and scenarios. Existing SDN deployments focus on campus, datacenter and WAN…
Intelligent Disaster Response via Social Media Analysis - A Survey
Tahora H. Nazer, Guoliang Xue, Yusheng Ji +1
The success of a disaster relief and response process is largely dependent on timely and accurate information regarding the status of the disaster, the surrounding environment, and…
Skolem Sequence Based Self-adaptive Broadcast Protocol in Cognitive Radio Networks
Lin Chen, Zhiping Xiao, Kaigui Bian +3
The base station (BS) in a multi-channel cognitive radio (CR) network has to broadcast to secondary (or unlicensed) receivers/users on more than one broadcast channels via channel…
Optimizing Average-Maximum TTR Trade-off for Cognitive Radio Rendezvous
Lin Chen, Shuyu Shi, Kaigui Bian +1
In cognitive radio (CR) networks, "TTR", a.k.a. time-to-rendezvous, is one of the most important metrics for evaluating the performance of a channel hopping (CH) rendezvous protoco…