Fifth Generation (5G) network is a sort of the network that is being discoursed about, in recent times. This is something that has being embraced by China in recent times. However, while there is major demand in this, the network needed to maintain this is quite complicated. In order for this network to be under control, cognitive radio (CR) technology requires basic level of intelligence otherwise it won’t happen. This article emphasizes about the distribution of cognitive cellular network in order to have a smooth real-time process. Such method connects artificial intelligence as well as this technology into an innovating multi-agent system (MAS). It’s a holistic pattern for 5G communication networks. It is of utmost importance to allocate all the resource efficiently, to primary and secondary users and the base stations to ensure optimum utilization, of implementing this resource in cellular network. For that to happen we proposed four-layered framework for layer distribution and creating a benchmark MAS model. In addition, we proffer the ideal methods, technologies and process and come to a conclusion regarding the effectiveness via numerical simulations. Lastly this report discusses about the challenges and open issues.
Abrar Bashar, Dr. Zenon Chaczko (2020); Intelligent Allocation of Channel Resources in 5G Network ; International Journal of Scientific and Research Publications (IJSRP)
10(02) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.02.2020.p9887