Journal
IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 11, Issue 9, Pages 1770-1774Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2022.3159696
Keywords
Security; Computational modeling; Virtual reality; Uncertainty; Minimization; Wireless communication; Optimization; Intelligent reflecting surface; virtual reality; latency minimization
Categories
Funding
- Natural Science Foundation of Sichuan [2022NSFSC0887]
- Fundamental Research Funds for the Central Universities [2682021ZTPY117, 2682022CX020]
- ARC [DP190101988, DP210103410]
- Sichuan Science and Technology Program [2020YFH0111]
- ARC Laureate Fellowship [FL160100032]
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This letter investigates a VR delivery system that reduces latency and ensures security by using an intelligent reflecting surface (IRS). By jointly optimizing transmission policies and adjusting parameters, the latency for all users has been successfully minimized.
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.
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