System design and Optimization of Mobile Edge Computing in the NOMA Wireless Tactile Internet of Things Network

Truong, Truong Van and Nayyar, Anand and Bilal, Muhammad and Kwak, Kyung Sup (2023) System design and Optimization of Mobile Edge Computing in the NOMA Wireless Tactile Internet of Things Network. Alexandria Engineering Journal, 73. pp. 737-749. ISSN 1110-0168

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Abstract

Mobile edge computing (MEC) is an essential technique in next-generation networks to serve ultra-low latency and computation-intensity applications. At the same time, nonorthogonal multiple access (NOMA) is a technique to help multi-user service, saving energy and increasing spectrum efficiency. In this study, we investigate the NOMA MEC-based wireless Tactile Internet of Things (IoT) network and propose the optimization algorithms for system and users performance: We propose a network model consisting of a MEC server at the access point that supports computation for two sensor clusters in the Tactile IoT environment. We analyze the performance of the system and cluster heads (CHs) using the successful computation probability (SCP). Asymptotic SCP at high SNRs was analyzed and compared by us to give a better view of the system's behavior. Then, we maximize the SCP of the proposed system and simultaneously maximize the SCP of the CHs to clarify the performance trade-off problem in the NOMA MEC network by proposing low-complexity meta-heuristic algorithms. Monte-Carlo simulation results show that our proposed approach can significantly improve system performance by up to 30% compared to OMA traditional methods.

Item Type:
Journal Article
Journal or Publication Title:
Alexandria Engineering Journal
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2200
Subjects:
?? best user selectiongenetic algorithmmobile edge computingmultiusernon-dominated sorting genetic algorithm – iiinon-orthogonal multiple accesssuccessful computation probabilitytactile iotgeneral engineeringengineering(all) ??
ID Code:
205105
Deposited By:
Deposited On:
25 Sep 2023 12:20
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 12:07