Load Adaptive BSN: Enhancing Cellular Base Station Network (BSN) Efficiency by Monitoring Data Traffic

In the cellular Base station (BS) network, energy consumption is not proportion to their carried traffic load. The 3G traffic displays high fluctuations both in time and over space also incurs energy waste, but energy consumption of current 3G network is not load adaptive. In this paper, we propose a Load-Adaptive Base Station Network (BSN), a solution that enables the BSN to adapt itself with respect to the current data traffic in the network. Load-Adaptive BSN seeks to achieve load-adaptive energy consumption in communication subsystem. Traffic–driven approach is used to reduce communication System traffic. RNCRadio Network Controller collects traffic information from all the Base Station. It generates the on/off methods. By using the Temporal-Spatial traffics dynamics, we power off under-utilized Base Stations under light traffic. Base Station splits into virtual grids. By using Virtual grid based technique, the under-utilized base stations are identified and are replaced by another equivalent base station within the same virtual grid. The goal is to achieve system-wide adaptability in energy efficiency in the BS network and to ensure negligible performance degradation while achieving energy efficiency.