Resource Management Optimally in Non-Orthogonal Multiple Access Networks for Fifth-Generation by using Game-Theoretic

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Mahsa Khodakhah, Nahid Ardalani


In this paper, several number of users were optimized in resource allocation management by applying the game theory User-sub-channel-Soap Matching Algorithm (USMA) in Non-Orthogonal Multiple Access (NOMA) for fifth-generation wireless networks. multiple access users can be increased up to 63 users in NOMA. This method reduces interference between users, which include costs, and resource to access for other users.

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