Heterogeneous Network Selection Based on Bertrand-matching Game

被引：0
|
作者：
Rao, Xiaohui [1 ]
Lin, Shuisheng [1 ]
Yuan, Zhengxi [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu, Peoples R China
来源：
ICMLC 2020: 2020 12TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING | 2018年
基金：
国家重点研发计划; 中国国家自然科学基金;
关键词：
Network selection; game theory; Bertrand game; matching game;
D O I：
10.1145/3383972.3384033
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In order to make the best network selection and improve network access satisfaction, this paper proposes a heterogeneous network selection algorithm based on game theory. This algorithm constructs a Bertrand-matching two-tier game model of network Service Provider(SP) and User Equipment(UE), taking multiple factors at network and user levels into account. It allows UEs to select the network more precisely and meets the profit needs of SPs. Simulations show that the proposed model can achieve convergent results and maximize the profits of each SP. Compared with the model of sequential access based on UE's request and the model of the random access, the total satisfaction indexes increase by 22.44% and 38.45% respectively.
引用
收藏
页码：468 / 472
页数：5
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