activity
20182025
most citedOptimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

27 citations · 58 across the 15 of their papers we have counts for

collaborators

16 papers

cs.NI2025

Advancing Fluid Antenna-Assisted Non-Terrestrial Networks in 6G and Beyond: Fundamentals, State of the Art, and Future Directions

Tianheng Xu, Runke Fan, Jie Zhu +6

With the surging demand for ultra-reliable, low-latency, and ubiquitous connectivity in Sixth-Generation (6G) networks, Non-Terrestrial Networks (NTNs) emerge as a key complement t…

cs.CR2025

Uncertain Location Transmitter and UAV-Aided Warden Based LEO Satellite Covert Communication Systems

Pei Peng, Xianfu Chen, Tianheng Xu +4

We propose a novel covert communication system in which a ground user, Alice, transmits unauthorized message fragments to Bob, a low-Earth orbit satellite (LEO), and an unmanned ae…

eess.SY2024

Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs

Xianfu Chen, Celimuge Wu, Yi Shen +5

This article investigates a control system within the context of six-generation wireless networks. The control performance optimization confronts the technical challenges that aris…

cs.IT2023

Intelligent Reflecting Surface Assisted Multi-Cluster AirComp via Dynamic Beamforming

Yapeng Zhao, Qingqing Wu, Wen Chen +2

This paper studies an multi-cluster over-the-air computation (AirComp) system, where an intelligent reflecting surface (IRS) assists the signal transmission from devices to an acce…

cs.IT2023

Computation Offloading for Edge Computing in RIS-Assisted Symbiotic Radio Systems

Bin Li, Zhen Qian, Lei Liu +3

In the paper, we investigate the coordination process of sensing and computation offloading in a reconfigurable intelligent surface (RIS)-aided base station (BS)-centric symbiotic…

cs.IT2023

Static IRS Meets Distributed MIMO: A New Architecture for Dynamic Beamforming

Guangji Chen, Qingqing Wu, Celimuge Wu +3

Intelligent reflecting surface (IRS) has been considered as a revolutionary technology to enhance the wireless communication performance. To cater for multiple mobile users, adjust…

cs.IT2023★ 12 cited

Exploiting Intelligent Reflecting Surfaces for Interference Channels with SWIPT

Ying Gao, Qingqing Wu, Wen Chen +3

This paper considers intelligent reflecting surface (IRS)-aided simultaneous wireless information and power transfer (SWIPT) in a multi-user multiple-input single-output (MISO) int…

cs.IT2022★ 5 cited

Integrated Sensing and Communication: Joint Pilot and Transmission Design

Meng Hua, Qingqing Wu, Wen Chen +3

This paper studies a communication-centric integrated sensing and communication (ISAC) system, where a multi-antenna base station (BS) simultaneously performs downlink communicatio…

cs.AI2022★ 3 cited

Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning

Xianfu Chen, Zhifeng Zhao, Shiwen Mao +3

The age of information metric fails to correctly describe the intrinsic semantics of a status update. In an intelligent reflecting surface-aided cooperative relay communication sys…

cs.IT2022★ 1 cited

Performance-Oriented Design for Intelligent Reflecting Surface Assisted Federated Learning

Yapeng Zhao, Qingqing Wu, Wen Chen +2

To efficiently exploit the massive amounts of raw data that are increasingly being generated in mobile edge networks, federated learning (FL) has emerged as a promising distributed…

cs.LG2021★ 3 cited

FedGraph: Federated Graph Learning with Intelligent Sampling

Fahao Chen, Peng Li, Toshiaki Miyazaki +1

Federated learning has attracted much research attention due to its privacy protection in distributed machine learning. However, existing work of federated learning mainly focuses…

cs.IT2021★ 1 cited

Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning

Rui Yin, Zhiqun Zou, Celimuge Wu +2

In this paper, a Device-to-Device communication on unlicensed bands (D2D-U) enabled network is studied. To improve the spectrum efficiency (SE) on the unlicensed bands and fit its…

eess.SP2020★ 3 cited

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…

cs.NI2018

Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective

Xianfu Chen, Celimuge Wu, Mehdi Bennis +2

This paper studies the problem of non-cooperative radio resource scheduling in a vehicle-to-vehicle communication network. The technical challenges lie in high vehicle mobility and…

cs.NI2018★ 3 cited

Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach

Xianfu Chen, Zhifeng Zhao, Celimuge Wu +4

With the cellular networks becoming increasingly agile, a major challenge lies in how to support diverse services for mobile users (MUs) over a common physical network infrastructu…

cs.LG2018★ 27 cited

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…