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Proportional Fairness-Based Power Allocation Algorithm for Downlink NOMA 5G Wireless Networks

Jianzhong Li1, DexiangMei1, Dong Deng1, Imran Khan2, Peerapong Uthansakul3, *

1 School of Finance, Chongqing Technology and Business University, Chongqing, China.
2 Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan.
3 School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand.

* Corresponding Author: Peerapong Uthansakul. Email: email.

Computers, Materials & Continua 2020, 65(2), 1571-1590. https://doi.org/10.32604/cmc.2020.011822

Abstract

Non-orthogonal multiple access (NOMA) is one of the key 5G technology which can improve spectrum efficiency and increase the number of user connections by utilizing the resources in a non-orthogonal manner. NOMA allows multiple terminals to share the same resource unit at the same time. The receiver usually needs to configure successive interference cancellation (SIC). The receiver eliminates co-channel interference (CCI) between users and it can significantly improve the system throughput. In order to meet the demands of users and improve fairness among them, this paper proposes a new power allocation scheme. The objective is to maximize user fairness by deploying the least fairness in multiplexed users. However, the objective function obtained is non-convex which is converted into convex form by utilizing the optimal Karush-Kuhn-Tucker (KKT) constraints. Simulation results show that the proposed power allocation scheme gives better performance than the existing schemes which indicates the effectiveness of the proposed scheme.

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APA Style
Li, J., DexiangMei, , Deng, D., Khan, I., Uthansakul, P. (2020). Proportional fairness-based power allocation algorithm for downlink NOMA 5G wireless networks. Computers, Materials & Continua, 65(2), 1571-1590. https://doi.org/10.32604/cmc.2020.011822
Vancouver Style
Li J, DexiangMei , Deng D, Khan I, Uthansakul P. Proportional fairness-based power allocation algorithm for downlink NOMA 5G wireless networks. Comput Mater Contin. 2020;65(2):1571-1590 https://doi.org/10.32604/cmc.2020.011822
IEEE Style
J. Li, DexiangMei, D. Deng, I. Khan, and P. Uthansakul "Proportional Fairness-Based Power Allocation Algorithm for Downlink NOMA 5G Wireless Networks," Comput. Mater. Contin., vol. 65, no. 2, pp. 1571-1590. 2020. https://doi.org/10.32604/cmc.2020.011822

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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