Abstract:

An adaptive service request load-aware cooperative sleeping energy saving algorithm for heterogeneous wireless networks is proposed, and it minimizes system overall power consumption under the constraint on the quality of service requirement in the heterogeneous networks system. The proposed algorithm constructs the economic theory revenue based power-saving model under wireless networks self-optimization framework. Monte Carlo simulation demonstrates that the algorithm can adaptively schedule the working mode of heterogeneous wireless networks and decrease the system total power consumption,and satisfies the blocking rate constraint of user service request.

Key words: heterogeneous wireless networks, load-aware, cooperative sleeping algorithm