No abstract

Considering the three factors of user's preference, business requirement and network performance, this paper presented an integrated weighting network access selection algorithm under heterogeneous multi-cognitive wireless network coexistence environment. The algorithm based on AHP-TOPS IS algorithm which defined positive and negative ideal values, and used the distance value between the candidate networks to avoid the ranking abnormality problem when executing the TOPS IS algorithm. The algorithm introduced entropy as objective weight for decision attributes, to avoid the subjective and arbitrary problem when performing the AHP algorithm. And the algorithm used the relative relationship of the decision attributes, business types, and the network performance to define the subjective weight, and then combine the objective weight with the subjective weight to form an integrated weight. Adopting the algorithm to execute optimal access network selection can balance the network loads, and use network resources reasonably. Simulation results showed that the proposed integrated weighting network access selection algorithm can select candidate network correctly depending on the different business needs in the heterogeneous multi-cognitive wireless network coexistence environment, and can meet the service quality while achieving the entire network load balancing, and improving resource utilization.