Intelligent reflecting surface aided wireless powered mobile edge computing

Lu, Yi

doi:10.32657/10356/164981

Cited by 3 publications

(1 citation statement)

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“…Because of the excellent characteristics of IRS, it has been widely used and studied in secure communication. For example, in [24], the authors proposed to use IRS to assist multi-user communication. By designing the transmission beam and IRS phase shift matrix, the minimum secrecy rate among users was improved.…”

Section: Introductionmentioning

confidence: 99%

IRS Assisted UAV Communications against Proactive Eavesdropping in Mobile Edge Computing Networks

Zhang,

Niu,

Yan

2024

Computer Modeling in Engineering &Amp; Sciences

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In this paper, we consider mobile edge computing (MEC) networks against proactive eavesdropping. To maximize the transmission rate, IRS assisted UAV communications are applied. We take the joint design of the trajectory of UAV, the transmitting beamforming of users, and the phase shift matrix of IRS. The original problem is strong non-convex and difficult to solve. We first propose two basic modes of the proactive eavesdropper, and obtain the closed-form solution for the boundary conditions of the two modes. Then we transform the original problem into an equivalent one and propose an alternating optimization (AO) based method to obtain a local optimal solution. The convergence of the algorithm is illustrated by numerical results. Further, we propose a zero forcing (ZF) based method as sub-optimal solution, and the simulation section shows that the proposed two schemes could obtain better performance compared with traditional schemes. KEYWORDSMobile edge computing (MEC); unmanned aerial vehicle (UAV); intelligent reflecting surface (IRS); zero forcing (ZF)

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Section: Introductionmentioning

confidence: 99%