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Article

User Pairing and Power Allocation for NOMA-CoMP Based on Rate Prediction

Department of Information and Communication Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China
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Author to whom correspondence should be addressed.
Academic Editor: Lorenzo Mucchi
Information 2022, 13(4), 200; https://doi.org/10.3390/info13040200
Received: 1 March 2022 / Revised: 7 April 2022 / Accepted: 13 April 2022 / Published: 15 April 2022
(This article belongs to the Special Issue Wireless Communications, Networking and Applications)
In this paper, we consider a non-orthogonal multiple access (NOMA) system with coordinated multi-point (CoMP), which is used in 5G cellular networks to guarantee the rate requirements from the different edge users. Based on the China Family Panel Studies (CFPS) dataset, we use several learning algorithms to predict users’ rate requirements according to their profiles. We propose a many-to-many two-side subchannel–user matching strategy, which can classify users into cell-center users, high-rate requirement edge users, and low-rate requirement edge users based on their status and learning prediction results, and pair users with different subchannels to form joint transmission CoMP (JT-CoMP) subchannels and dynamic point selection CoMP (DPS-CoMP) subchannels. Furthermore, a discrete power allocation algorithm based on group search is proposed. Simulation results show that our proposed algorithm outperforms the traditional NOMA-CoMP algorithm and maximum throughput (MT) NOMA-CoMP algorithm. It maximizes the rate of high-rate requirement edge users while guaranteeing user fairness. View Full-Text
Keywords: non-orthogonal multiple access (NOMA); coordinated multi-point (CoMP); users classification and subchannel scheduling; discrete power allocation non-orthogonal multiple access (NOMA); coordinated multi-point (CoMP); users classification and subchannel scheduling; discrete power allocation
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MDPI and ACS Style

Wu, J.; Sun, L.; Jia, Y. User Pairing and Power Allocation for NOMA-CoMP Based on Rate Prediction. Information 2022, 13, 200. https://doi.org/10.3390/info13040200

AMA Style

Wu J, Sun L, Jia Y. User Pairing and Power Allocation for NOMA-CoMP Based on Rate Prediction. Information. 2022; 13(4):200. https://doi.org/10.3390/info13040200

Chicago/Turabian Style

Wu, Jiang, Leyang Sun, and Yubo Jia. 2022. "User Pairing and Power Allocation for NOMA-CoMP Based on Rate Prediction" Information 13, no. 4: 200. https://doi.org/10.3390/info13040200

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