基于可拓模糊层次分析的快速小区选择算法

摘要

In cellular communications, the criteria for Fast Cell Selection (FCS) usually depend on single factor, which is lack of flexibility and fairness. In order to improve FCS performance, a novel algorithm is proposed. Based on extension theory, a flexible mapping table is constructed for Quality of Experience (QoE) evaluation parameters, and some actual performance parameters are mapped into corresponding calibration interval. Then the mapping values are calculated. On this basis, a judgment matrix is constructed by means of Fuzzy Analytic Hierarchy Process (FAHP) analysis, and its consistency is tested. Finally, the total utility function values of each cell are calculated by the weight vectors. According to such values, the optimal FCS scheme can be found. Simulation analysis shows that the weight factors in each cell have a directly effect on utility function. Compared with the existing algorithms, the proposed algorithm makes the judgment of performance parameters to be comprehensive with the proper increase of computing complexity, which reduces the blocking probability and raises the throughput.%针对快速小区选择中评判准则过于单一,缺乏灵活性和公平性的问题,该文提出了一种新型快速小区选择算法.该算法借助可拓理论,构造了一种小区性能QoE参数评价的映射表,并将实际参数映射到对应的标度区间,然后计算待评小区的实际分析值.在此基础之上,采用模糊层次分析的方法构造出判断矩阵,并检验其一致性.最后根据权重向量大小对计算出的各小区总效益函数值排序,找到最优的快速小区选择策略.仿真分析表明,小区性能因子的权重影响到总效益函数值的大小.与现有的快速小区选择算法相比,该算法在增加一定算法复杂度的情况下,实现了小区性能参数评判的全面性,降低了用户的阻塞率,提高了用户的吞吐量.