A QoE-aware method for energy efficient network selection

This paper presents a novel network selection method with the theory of evolutionary game, which integrates quality of experience (QoE) perceived by users, cost and energy consumption requirements to update their access strategies dynamically. The evolutionary equilibrium is considered to be the solution of the game, where finally all the users are able to achieve an identical payoff. The proposed method incorporates QoE mapping functions used for modeling diverse quality requirements, and also adopts distinct energy consumption metrics for various applications. To cope with the significant energy consumption of terminals in heterogeneous networks, we give an energy efficient payoff model for network selection. Users will obtain lower payoff when accessing networks that need more transmit power, so that more users tend to access networks with lower energy consumption to increase user satisfaction. Simulation results prove that the proposed energy efficient algorithm based on QoE (EEAQ) outperforms the existing ones regarding energy consumption.