Entropy Weight and Grey Relation Analysis Based Load Balancing Algorithm in Heterogeneous Wireless Networks

Aiming at working out the problem of existing load balancing algorithms that failed to consider the real time performance level of each access network sufficiently, a new load balancing algorithm is proposed in this paper. Firstly, a judgment matrix is constructed by the received signal strength, the remaining available resources and the current business blocking rate of each network. Secondly, the gray relational matrix reflecting the level of performance for each access network is obtained through standardized processing and gray relational calculation. Then entropy weight method is adopted to acquire the weight of each performance index reasonably, and combined with the correlation matrix we can get the sort of each heterogeneous network performance. The optimal network will be picked up according to the results of the sort when users request network access or switching. Simulation results show that the proposed algorithm performs much better than reference algorithms with respect to the system blocking probability as well as the load balance between heterogeneous networks.