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- Title
IRS Assisted UAV Communications against Proactive Eavesdropping in Mobile Edge Computing Networks.
- Authors
Ying Zhang; Weiming Niu; Leibing Yan
- Abstract
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.
- Subjects
MOBILE computing; EDGE computing; EAVESDROPPING; BEAMFORMING; DRONE aircraft
- Publication
CMES-Computer Modeling in Engineering & Sciences, 2024, Vol 138, Issue 1, p885
- ISSN
1526-1492
- Publication type
Article
- DOI
10.32604/cmes.2023.029234