|
|
Fast Cell Selection Algorithm Based on Extension Theory and Fuzzy AHP |
Zhang Hui; Xu Xiao-dong; Tao Xiao-feng; Li Jing-ya; Zhang Ping |
Wireless Technology Innovation Institute, Beijing University of Posts and Telecommunications, Beijing 100876, China; Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing 100876, China |
|
|
Abstract 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.
|
Received: 12 November 2008
|
|
|
|
|
|
|
|