Energy Efficient Dynamic Improved Optimization Method for Resource Management in Cellular Networks

The dense deployment of small cell networks is primary feature of next generation mobile networks assigned to offer essential ability. The small cells are deployed in regions covered through macro-Base Stations (eNBs) for supplying required local capacity depended on hierarchical networks. Additionally, small cell networks utilize high capacity backhaul links on millimeter wave bands for developing multi-hop topologies to overcome data broadcasting costs. In this manuscript, developed the dynamic improved optimization method for reducing energy consumption of 5G networks and offers significant capacity and coverage. By optimizing the carrier allocation and power usage, developed algorithm determined when to turn ON or OFF small cells to meet constraints of Quality of Service (QoS) of users with greatest level of energy efficiency. Moreover, developed the multi-hop backhauling strategy for effective utilization of existing architecture of small-cell networks for continuous dual-hop transmissions. In accordance with simulation outcomes, the energy efficiency and data rates of system effectively enhanced.