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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

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Showing cs.ITShow all

7 papers · 1 filter

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.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.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…