An Energy-Saving Algorithm Based on Base Station Sleeping in Multi-Hop D2D Communication

Nowadays, with the increasing awareness of environmental and economic issues, energy efficiency has received an enormous amount of attention. In this paper, we investigate an energy-saving algorithm called Greedy Base Station Sleeping (G- BSS), based on clustering for Device-to-Device (D2D) communication in cellular network and derive the energy utility function to evaluate energy consumption of the implementation scenario. In addition, a novel user association scheme is developed for the first time to solve the communication problem of users in sleep cells, in which the D2D clusters in sleep cells associate to the selected inter-CH (Cluster Head) in neighbor cells according to location information and residual energy, namely forming a merger cluster. Extensive simulation results confirm that the proposed algorithm reduces efficiently energy consumption and achieves low delay.