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Resource Allocation in Multicarrier NOMA Systems Based on Optimal Channel Gain Ratios

Cejudo, Estela Carmona, Zhu, Huiling, Wang, Jiangzhou (2021) Resource Allocation in Multicarrier NOMA Systems Based on Optimal Channel Gain Ratios. IEEE Transactions on Wireless Communications, . ISSN 1536-1276. (doi:10.1109/TWC.2021.3098572) (KAR id:90257)

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The application of non-orthogonal multiple access (NOMA) to multicarrier systems can improve the spectrum efficiency and enable massive connectivity in future mobile systems. Resource allocation in multicarrier NOMA systems is a nondeterministic polynomial time-hard problem requiring exhaustive search, which has prohibitive computational complexity. Instead, efficient algorithms that provide a good trade-off between system performance and implementation practicality are needed. In this paper, exact values of the optimal channel gain ratios between a pair of NOMA users are presented for the first time for quadrature amplitude modulation (QAM) schemes. Further, numerical limits are derived for the values of channel gain ratios that fulfill the system constraints. These findings are used to propose a user pairing algorithm with quasi-linear complexity. Further, a novel scheme for data rate and continuous power allocation is proposed. Through numerical simulations, it is proved that the proposed scheme yields an achievable sum-rate close to the performance of exhaustive search, and it outperforms other suboptimal resource allocation schemes.

Item Type: Article
DOI/Identification number: 10.1109/TWC.2021.3098572
Projects: On use of Machine Learning for Future Mobile Networks
Uncontrolled keywords: Non-orthogonal multiple access (NOMA), channel gain ratios, resource allocation, user pairing, multicarrier, bit error rate (BER)
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5103.4 Broadband communication systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK6540 Radio > TK6570.M6 Mobile communication systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: [UNSPECIFIED] Royal Society
Depositing User: Huiling Zhu
Date Deposited: 17 Sep 2021 06:43 UTC
Last Modified: 20 Sep 2021 10:04 UTC
Resource URI: (The current URI for this page, for reference purposes)
Wang, Jiangzhou:
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