Network selection for heterogeneous wireless networks based on multiple attribute decision making and Evolutionary Game Theory

Network selection is a key technology to realize fair resource allocation and load balancing for converged multi-radio heterogeneous networks. In this paper, we propose a Multiple attribute decision making and Evolutionary Game Theory (MEGT) integrated network selection scheme. In MEGT, utility functions are designed appropriately to compute user QoS satisfaction of the candidate network. User preferences are considered in this paper and are computed by analytic hierarchy process (AHP). Then the dynamics of the population's behavior are explicitly described by EGT. And a centralized population algorithm is adopted to implement the proposed scheme in practical wireless systems. At last, the validity of the proposed scheme is verified by numerical and simulation results.