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In this paper , we optimize the resource Allocation management by usinggame-Theory . In this paper we can optimize number of users in resourceallocation management by using the user-sub-channel-soap matching algorithm(USMA) for non-orthogonal multiple access for fifth-generation networks byincrease multiple access user and NOMA that is to accessible to 63 users. Thismethod reduces interference between users , which include costs , and resourceto access for other users.

Resource Management optimally in Non-Orthogonal Multiple Access Networks for fifth-generation by using game-theoretic