Residential College | false |
Status | 已發表Published |
Multi-Tier Task Offloading with Intelligent Reflecting Surface and Massive MIMO Relay | |
Wang, Kunlun1; Zhou, Yong2; Wu, Qingqing3; Chen, Wen4; Yang, Yang2 | |
2021 | |
Conference Name | 2021 IEEE Global Communications Conference (GLOBECOM) |
Source Publication | 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings |
Conference Date | 07-11 December 2021 |
Conference Place | Madrid |
Country | Spain |
Publication Place | IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA |
Publisher | IEEE |
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. |
DOI | 10.1109/GLOBECOM46510.2021.9685898 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering ; Telecommunications |
WOS Subject | Computer Science, Information Systems ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Telecommunications |
WOS ID | WOS:000790747204126 |
Scopus ID | 2-s2.0-85127236898 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Wang, Kunlun |
Affiliation | 1.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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