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Multi-Tier Task Offloading with Intelligent Reflecting Surface and Massive MIMO Relay
Wang, Kunlun1; Zhou, Yong2; Wu, Qingqing3; Chen, Wen4; Yang, Yang2
2021
Conference Name2021 IEEE Global Communications Conference (GLOBECOM)
Source Publication2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
Conference Date07-11 December 2021
Conference PlaceMadrid
CountrySpain
Publication PlaceIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
PublisherIEEE
Abstract

This paper investigates the task offloading problem in a hybrid intelligent reflecting surface (IRS) and massive multiple-input multiple-output (MIMO) relay assisted fog computing system, where multiple task nodes (TNs) offload their computational tasks to computing nodes (CNs) nearby massive MIMO relay node (MRN) and fog access node (FAN) via the IRS for execution. By considering the practical imperfect channel state information (CSI) model, we formulate a joint task offloading, IRS phase shift optimization, and power allocation problem to minimize the total energy consumption. We solve the resultant non-convex optimization problem in three steps. First, we solve the IRS phase shift optimization problem with the semidefinite relaxation (SDR) algorithm. Then, we exploit a differential convex (DC) optimization framework to determine the power allocation decision. Given the IRS phase shifts, the computational resources, and the power allocation, we propose an alternating optimization algorithm for finding the jointly optimized results. The simulation results demonstrate the effectiveness of the proposed scheme as compared with other benchmark schemes.

DOI10.1109/GLOBECOM46510.2021.9685898
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000790747204126
Scopus ID2-s2.0-85127236898
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Citation statistics
Document TypeConference paper
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorWang, Kunlun
Affiliation1.School of Communication and Electronic Engineering, East China Normal University, China
2.School of Information Science and Technology, ShanghaiTech University, China
3.Department of Electrical and Computer Engineering, University of Macau, China
4.Shanghai Jiao Tong University, Department of Electronic Engineering, China
Recommended Citation
GB/T 7714
Wang, Kunlun,Zhou, Yong,Wu, Qingqing,et al. Multi-Tier Task Offloading with Intelligent Reflecting Surface and Massive MIMO Relay[C], IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2021.
APA Wang, Kunlun., Zhou, Yong., Wu, Qingqing., Chen, Wen., & Yang, Yang (2021). Multi-Tier Task Offloading with Intelligent Reflecting Surface and Massive MIMO Relay. 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings.
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