Abstract
With the popularity of large-scale communication scenarios, massive multiple access technology has attracted academic attention. In this paper, a resource allocation problem in massive Non-Orthogonal Multiple Access (NOMA) network is studied. The optimization goal is the energy efficiency (EE) of the system. The resource allocation problem includes two parts: subcarrier allocation and power allocation. Firstly, a many-to-one matching algorithm is proposed to assign subcarriers. Then, a power allocation algorithm is designed to optimize the objective function using successive convex approximation. Further, an iterative algorithm for power allocation is studied and the suboptimal solution of the function is obtained. Simulation results show that the proposed resource allocation scheme can effectively improve the EE of the system.
Supported by the National Key R&D Program (No. 2018YFB1801102), the Natural Science Foundation of Beijing (No. L192025), the National Natural Science Foundation of China (No. 62001264), and the China Postdoctoral Science Foundation (No. 2020M680559 and No. 2021T140390).
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Zhang, W., Zeng, J., Li, Z. (2022). Resource Allocation in Massive Non-Orthogonal Multiple Access System. In: Gao, H., Wun, J., Yin, J., Shen, F., Shen, Y., Yu, J. (eds) Communications and Networking. ChinaCom 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-030-99200-2_17
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DOI: https://doi.org/10.1007/978-3-030-99200-2_17
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