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

Mahsa Khodakhah; Nahid Ardalani

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

Signal Processing 2019-06-11 v1 Information Theory math.IT

Authors: Mahsa Khodakhah , Nahid Ardalani

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.

Keywords

non-orthogonal multiple access resource allocation in wireless networks multi-agent systems and game theory

Cite

@article{arxiv.1906.03465,
  title  = {Resource Management optimally in Non-Orthogonal Multiple Access Networks for fifth-generation by using game-theoretic},
  author = {Mahsa Khodakhah and Nahid Ardalani},
  journal= {arXiv preprint arXiv:1906.03465},
  year   = {2019}
}

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