Quantum entropy based tabu search algorithm for energy saving in SDWN

The energy consumption of the base station (BS) accounts for great proportion of the total wireless access network (WAN). Switching off the selected spare BSs with few network request would save a large amount of energy. It is difficult to deploy a BS energy saving strategy in existing network architecture due to the tightly coupled network devices. Therefore, we adopt the software defined wireless networks (SDWN) structure which is an sample of the wireless software defined networks (SDN). Then a novel quantum entropy based tabu search algorithm (QETS) is proposed to choose which BS to switch off, and it increases the search range and guarantee the convergence speed. The energy saving strategy can find the optimal solution with higher probabilities and can be deployed in centralized controller as a software. Theoretical analysis and simulation results show the QETS algorithm’s gain over the greedy algorithm and quantum inspired tabu search algorithm (QTS) in terms of convergence.