Subcarrier-User Assignment in Downlink NOMA for Improving Spectral Efficiency and Fairness

Non-orthogonal multiple access (NOMA) has been recognized as an essential technology for beyond fifth-generation (beyond-5G) wireless networks to increase connectivity, spectral efficiency, cell-edge throughput, and user fairness. In this paper, we propose two subcarrier-user assignment algorithms (...

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Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.5273-5284
Main Authors: Abd-Elnaby, Mohammed, Sedhom, Germien G., Elwekeil, Mohamed
Format: Article
Language:English
Subjects:
Algorithms
Computational complexity
Downlink
Downlinking
Efficiency
NOMA
Nonorthogonal multiple access
Receivers
Resource management
Silicon carbide
Spectra
Spectral efficiency
Subcarriers
Throughput
user fairness
Wireless networks
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Summary:Non-orthogonal multiple access (NOMA) has been recognized as an essential technology for beyond fifth-generation (beyond-5G) wireless networks to increase connectivity, spectral efficiency, cell-edge throughput, and user fairness. In this paper, we propose two subcarrier-user assignment algorithms (SUAAs) for the downlink NOMA system to enhance the spectral efficiency, the fairness, the data rate of weak users, and the outage probability. The assignment order of the first proposed SUAA is based on the worst subcarrier first (WSF) to avoid selecting a user with the worst channel gain with any subcarrier and called (WSF-SUAA). On the other hand, the second proposed SUAA is based on spectral efficiency maximization (SEM) and called (SEM-SUAA), but requires exhaustive search. The assignment process of both algorithms is based on making the channel gain of the selected paired users per subcarrier as high as possible to increase the data rate of each user. Besides, the assignment process of strong users for all subcarriers is performed before the assignment process of weak users to increase the total system sum-rate. It is exposed throughout the simulation that the two proposed SUAAs can attain significant improvement in the total spectral efficiency, weak user data rate, outage probability, and user fairness compared to the existing algorithms. While the performances of the two proposed SUAAs are convergent, the computational complexity of WSF-SUAA is significantly lower than that of SEM-SUAA and slightly higher than that of the existing algorithms.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3047985