Latency Minimization for Secure Intelligent Reflecting Surface Enhanced Virtual Reality Delivery Systems

Zhou, Yi, Pan, Cunhua, Yeoh, Phee Lep, Wang, Kezhi, Ma, Zheng, Vucetic, Branka and Li, Yonghui (2022) Latency Minimization for Secure Intelligent Reflecting Surface Enhanced Virtual Reality Delivery Systems. IEEE Wireless Communications Letters. p. 1. ISSN 2162-2337 (In Press)

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Official URL: https://doi.org/10.1109/LWC.2022.3159696

Abstract

This letter investigates a virtual reality (VR) delivery system, where the original VR contents requested by all users are stored at the macro base station (MBS). To reduce latency, MBS can either transmit the original VR data or the computed VR data to multiple users aided by an intelligent reflecting surface (IRS) to prevent attacks from an eavesdropper with imperfect channel state information (CSI). We jointly optimize the transmission policies, MBS transmit power, IRS phase shift and computing frequency to minimize the latency over all users subject to security constraint. Numerical results validate the robustness of our proposed algorithm.

Item Type: Article
Additional Information: Funding information: The work of Y. Zhou was supported by the Fundamental Research Funds for the Central Universities under Grant 2682021ZTPY117 and 2682022CX020. The work of P. L. Yeoh was supported by ARC under Grant DP190100770. The work of Z. Ma was supported by Sichuan Science and Technology Program under Grant 2020YFH0111. The work of Y. Li was supported by ARC under Grant DP190101988 and DP210103410. The work of B. Vucetic was partially supported by ARC Laureate Fellowship under Grant FL160100032.
Uncontrolled Keywords: Security, Computational modeling, Virtual reality, Uncertainty, Minimization, Wireless communication, Optimization
Subjects: G400 Computer Science
G600 Software Engineering
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 22 Apr 2022 07:55
Last Modified: 22 Apr 2022 08:00
URI: http://nrl.northumbria.ac.uk/id/eprint/48945

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