Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing

Bai, Tong; Pan, Cunhua; Deng, Yansha; Elkashlan, Maged; Nallanathan, Arumugam; Hanzo, Lajos

doi:10.1109/jsac.2020.3007035

articleIEEE Journal on Selected Areas in CommunicationsJul 3, 2020HYBRID OA

Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing

TBTong Bai CPCunhua Pan YDYansha Deng MEMaged Elkashlan ANArumugam Nallanathan

Queen Mary University of London · King's College London · +1 more institution

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Abstract

Computation off-loading in mobile edge computing (MEC) systems constitutes an efficient paradigm of supporting resource-intensive applications on mobile devices. However, the benefit of MEC cannot be fully exploited, when the communications link used for off-loading computational tasks is hostile. Fortunately, the propagation-induced impairments may be mitigated by intelligent reflecting surfaces (IRS), which are capable of enhancing both the spectral- and energy-efficiency. Specifically, an IRS comprises an IRS controller and a large number of passive reflecting elements, each of which may impose a phase shift on the incident signal, thus collaboratively improving the propagation environment. In this paper,…

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Keywords

Computer science
Mobile edge computing
Edge computing
Latency (audio)
Computational complexity theory
Computational resource
Distributed computing
Mobile device

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