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

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 reflect...

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Vydáno v:IEEE wireless communications letters Ročník 11; číslo 9; s. 1770 - 1774
Hlavní autoři: Zhou, Yi, Pan, Cunhua, Yeoh, Phee Lep, Wang, Kezhi, Ma, Zheng, Vucetic, Branka, Li, Yonghui
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.09.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Computational modeling
Intelligent reflecting surface
latency minimization
Minimization
Optimization
Reconfigurable intelligent surfaces
Robustness (mathematics)
Security
Uncertainty
Virtual reality
Wireless communication
ISSN:2162-2337, 2162-2345
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2022.3159696