A survey of LTE network resource using Multiple Access

The next generation of 5G radio access network is based on this real-world wireless web. For a unified, all-encompassing connection and least 1000-fold traffic volumes, at least such a system is needed. Such a system should also be able to support the quality of service (QoS) required (eg, reliability, latency, data rate, coverage, security, and privacy) of multimedia applications by 2020. One tool for examining the existence and development of such systems is the use of artificial intelligence systems Therefore, in this paper, we present an artificial intelligence algorithm to improve resource allocation management that optimizes the number of scheduled users.

Keywords:

Bayesian Regularization Algorithm (BRA) , Mean Squared Error )MSE) , Multi-User Detection (MUD) , NOMA , Random Repetition Algorithm (RIA).