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

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

Metric-Based Random Iteration Algorithm For Resource Management In Non-Orthogonal Multiple Access Of Wireless Networks

In this paper, we focus on joint subcarrier and power allocation in the uplink of an NOMA system. The main taxonomy of NOMA is presented by focusing on the following categories: power-domain and code-domain NOMA. Then a novel radio resource management framework is presented metric-based random iteration Algorithm (MRIA) for uplink and downlink transmissions. This method determine target subject that it is Number of scheduled users.  

Performance analysis of biological resource allocation algorithms for next generation networks.

Masters Degree. University of KwaZulu-Natal, Durban.Abstract available in PDF.Publications listed on page iii