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基于 TOPSIS 的匹配博弈网络选择算法
引用本文:于秀兰,曾成. 基于 TOPSIS 的匹配博弈网络选择算法[J]. 重庆邮电大学学报(自然科学版), 2016, 28(4): 451-455. DOI: 10.3979/j.issn.1673-825X.2016.04.002
作者姓名:于秀兰  曾成
作者单位:重庆邮电大学 重庆市移动通信市级重点实验室,400065 重庆
基金项目:国家自然科学基金(61440062);国家 863 计划(2014AA01A705)
摘    要:针对无线通信中网络资源利用率的重要性,提出一种基于逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)的匹配博弈论异构网络选择算法,联合考虑用户端的网络选择和网络端的用户选择,分析用户和网络的时延、传输速率、丢包率,运用匹配博弈的原理选择出双方满意度最高的网络选择方案。仿真结果表明,在多用户同时存在的情况下,给出 TOPSIS 的匹配博弈论异构网络选择算法具有较低的阻塞率和较高的满意度。

关 键 词:异构网络  逼近理想解排序法(TOPSIS)  多用户  匹配博弈
收稿时间:2015-06-15
修稿时间:2016-02-29

Matching game network selection algorithm based on TOPSIS
YU Xiulan and ZENG Cheng. Matching game network selection algorithm based on TOPSIS[J]. Journal of Chongqing University of Posts and Telecommunications, 2016, 28(4): 451-455. DOI: 10.3979/j.issn.1673-825X.2016.04.002
Authors:YU Xiulan and ZENG Cheng
Affiliation:Chongqing Key Laboratory of Mobile Communication, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China and Chongqing Key Laboratory of Mobile Communication, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China
Abstract:According to the importance of enhancing the network resources efficiency for wireless communication, this paper proposes a heterogeneous network selection algorithm based on technique for order preference by similarity to ideal solution (TOPSIS)matching game. We consider network selection at client and user selection at server and analyze delay, transmission rate, packet loss rate of the whole system. Based on the TOPSIS matching game, we select the most appropriate network selection program which meets the requirements of both clients and servers. The simulation shows that in the presence of multiple users at the same time, heterogeneous network selection algorithm based on TOPSIS matching game has lower blocking rate and achieve higher satisfaction.
Keywords:heterogeneous network   technique for order preference by similarity to ideal solution ( TOPSIS)   multiple users   matching game
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