Cluster Analysis Based Switching-off Scheme of Base Stations for Energy Saving

Recent studies on green communications and networks indicate that most traffic loads could be served by a certain part of base stations during the low load period. In this paper, we present an energy saving approach which is based on the cluster analysis of traffic loads in urban space. Consequently, different traffic patterns are discovered and specific switching-off approaches are applied to the different traffic patterns. Simulation results reveal that a better energy saving performance can be attained compared to the existing approach.