Li, D, Chen, Y, Guizani, M and Lee, GM (2021) NOMA-based Joint Allocation and Offloading Strategy of Communication and Computing Resources. In: 2021 International Wireless Communications and Mobile Computing (IWCMC) . (17th Int. Wireless Communications & Mobile Computing Conference - IWCMC 2021, 28 June 2021 - 02 July 2021, Harbin, China).
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Abstract
This paper proposes an offloading strategy for communication resources and computing resources. Based on the communication background of NOMA, this strategy combines D2D communication and cellular mobile communication to consider the use of resources in the communication process. According to the performance of communication resources, the power of cellular network users and D2D users is controlled to make the task unloading decision between users and small MEC server base stations. The purpose is to find the minimum sum of the total cost of the user group within the coverage of the entire base station. The cost is obtained from the task completion time and the base station usage payment. The experimental results show that this method can find the optimal solution of the user group cost, and it also has a good performance in user fairness. In reality, taking D2D communication into consideration for coordinated distribution in a cellular network can greatly reduce the cost of the two.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computer Science & Mathematics |
Publisher: | IEEE |
Date Deposited: | 24 May 2021 11:30 |
Last Modified: | 31 May 2024 10:27 |
DOI or ID number: | 10.1109/IWCMC51323.2021.9498704 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/15056 |
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