基于可拓模糊层次分析的异构网络选择算法

针对目前异构网络选择算法在确定指标权重存在主观性的问题,提出基于可拓模糊层次分析的异构无线网络选择算法。该算法在分析不同业务类型对网络性能需求的基础上，结合可拓理论，将收集到的性能参数映射到性能标度区间中，通过网络物元模型的建立和相对隶属度的计算，构建了新的判决矩阵，利用模糊层次分析法计算网络性能参数的综合权重。最后，通过对相对隶属度的加权排序，得到最优接入网络。仿真实验证明:该方法能综合考虑不同用户的业务类型和网络的客观性能,提高了异构网络中多模终端选择网络的准确性和有效性。

Heterogeneous network selection algorithm based on extension theory and fuzzy analytic hierarchy process

Determination of index weights in the current heterogeneous network selection algorithm is of subjectivity. To solve this, a network selection algorithm based on fuzzy Analytic Hierarchy Process (AHP) and extension theory was proposed. Based on the analysis of the network requirements of different business, and the combination of extension theory, the collected performance parameters were mapped into corresponding calibration interval. Through the establishment of the network and calculation of the relative membership degree of the matter-element, a new decision matrix was constructed. The integrated weights of the network performance parameters were calculated by fuzzy AHP. Finally, the optimal access network was chosen through the weighted ranking of the relative membership degree. The simulation results show that the algorithm can take account of the business types of different users' and network objective performance, and multi-mode terminal can select the network accurately and effectively in the heterogeneous networks.