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

Yi Zhou; Cunhua Pan; Phee Lep Yeoh; Kezhi Wang; Zheng Ma; Branka Vucetic; Yonghui Li

doi:10.1109/LWC.2022.3159696

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

Yi Zhou, Cunhua Pan, Phee Lep Yeoh, Kezhi Wang, Zheng Ma^*, Branka Vucetic, Yonghui Li

^*Corresponding author for this work

Computer and Information Sciences Department

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

11 Downloads (Pure)

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.

Original language	English
Pages (from-to)	1770-1774
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	11
Issue number	9
Early online date	15 Mar 2022
DOIs	https://doi.org/10.1109/LWC.2022.3159696
Publication status	Published - Sept 2022

Keywords

Computational modeling
Minimization
Optimization
Security
Uncertainty
Virtual reality
Wireless communication
virtual reality
Intelligent reflecting surface
latency minimization

Access to Document

10.1109/LWC.2022.3159696

Latency_Minimization_for_Secure_Intelligent_Reflecting_Surface_Enhanced_Virtual_Reality_Delivery_SystemsAccepted author manuscript, 508 KB

Cite this

@article{af2813f6d2ec464a8ec57ff79dc7d5e1,

title = "Latency Minimization for Secure Intelligent Reflecting Surface Enhanced Virtual Reality Delivery Systems",

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.",

keywords = "Computational modeling, Minimization, Optimization, Security, Uncertainty, Virtual reality, Wireless communication, virtual reality, Intelligent reflecting surface, latency minimization",

author = "Yi Zhou and Cunhua Pan and Yeoh, {Phee Lep} and Kezhi Wang and Zheng Ma and Branka Vucetic and Yonghui Li",

note = "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. ",

year = "2022",

month = sep,

doi = "10.1109/LWC.2022.3159696",

language = "English",

volume = "11",

pages = "1770--1774",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

publisher = "IEEE",

number = "9",

}

TY - JOUR

T1 - Latency Minimization for Secure Intelligent Reflecting Surface Enhanced Virtual Reality Delivery Systems

AU - Zhou, Yi

AU - Pan, Cunhua

AU - Yeoh, Phee Lep

AU - Wang, Kezhi

AU - Ma, Zheng

AU - Vucetic, Branka

AU - Li, Yonghui

N1 - 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.

PY - 2022/9

Y1 - 2022/9

N2 - 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.

AB - 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.

KW - Computational modeling

KW - Minimization

KW - Optimization

KW - Security

KW - Uncertainty

KW - Virtual reality

KW - Wireless communication

KW - virtual reality

KW - Intelligent reflecting surface

KW - latency minimization

UR - http://www.scopus.com/inward/record.url?scp=85126539687&partnerID=8YFLogxK

U2 - 10.1109/LWC.2022.3159696

DO - 10.1109/LWC.2022.3159696

M3 - Article

SN - 2162-2337

VL - 11

SP - 1770

EP - 1774

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 9

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this