An Improved Resource Allocation in 5G C-RAN using Hybrid Swarm Intelligence Algorithm

C-RAN is known as Cloud Radio Access Network is a centralized Radio Access Network is an architecture specialized design for radio access network for co-ordinate 2G, 3G,4G and 5G mobile communications for future wireless communications standards. In C-RAN architecture all BBUs are include in base stations will be connected to a Baseband Unit of a centralized pool.. The frequence known as RD is in-expensive RRH are in C-RAN architecture. The Basseband Units are efficient computational tasks are consuming more energy. It is essential to minimize energy consumption and maximize energy efficiency. The resource allocation is a strategy to satisfy Quality of Services, and balance energy efficiency this paper proposed a hybrid method of dynamic resource allocation management algorithm ITS-WOA(Improved Tunicate Swarm Whale Optimization) to minimize the energy consumption of Baseband Units and also minimize energy consumption by Remote Radio Access. The optimization method is to minimize usage of RRH mapping with BBU and deployed need for RRH and BBU deployment to minimize the operational cost. There should be a provision of active and sleep mode of selection for the both RRH and BBU to minimize energy. The active state shows BBU and RRH are in running state. And sleep mode state shows BBU and RRH are in sleep mode to minimize the energy consumption and maximize the energy utilization for the maintenance of Quality of Service in C-RAN architecture.