A Q-learning-based heterogeneous wireless network selection algorithm

被引：1

作者：

Feng, Chen-Wei ^{[1
,2
]}

Huang, Lian-Fen ^{[1
]}

Ye, Pei-Zhi ^{[1
]}

Tang, Yu-Liang ^{[1
]}

Chao, Han-Chieh ^{[3
,4
]}

机构：

[1] Department of Communication Engineering, Xiamen University, Xiamen 361005, China

[2] Department of Communication Engineering, Xiamen University of Technology, Xiamen 361024, China

[3] Institute of Computer Science and Information Engineering, Department of Electronic Engineering, National Ilan University, I-Lan, Taiwan

[4] Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan

来源：

Journal of Computers (Taiwan) | 2014年 / 24卷 / 04期

关键词：

Heterogeneous networks - Learning algorithms - Wireless networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A Q-learning-based algorithm is presented for heterogeneous wireless network selection. The proposed algorithm can select the appropriate network for access according to different traffic types, terminal mobility and network load status. Simulation results show that the proposed algorithm has an efficient learning ability to achieve autonomous radio resource management, which effectively improves the spectrum utility and reduces the blocking probability.

引用

页码：80 / 88