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

TL;DR

This paper proposes a game-theoretic resource management approach for 5G NOMA networks, optimizing user allocation and reducing interference to support up to 63 users simultaneously.

Contribution

It introduces a novel user-sub-channel matching algorithm (USMA) for NOMA, enhancing user capacity and interference management in 5G networks.

Findings

Supports up to 63 users in NOMA networks

Reduces interference among users

Improves resource allocation efficiency

Abstract

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