Q-learning based handoff algorithm for satellite system with ancillary terrestrial component

被引：0

作者：

Xiong, Dan-Ni ^{[1
]}

Li, Yi ^{[1
]}

机构：

[1] Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing

来源：

Tongxin Xuebao/Journal on Communications | 2015年 / 36卷 / 09期

关键词：

Handoff scheme; MSS-ATC; Predictive RSS; Q-learning;

D O I：

10.11959/j.issn.1000-436x.2015240

中图分类号：

学科分类号：

摘要：

In the integrated satellite-terrestrial communication system, i.e., mobile satellite system with ancillary terrestrial component (MSS-ATC), the long transmission delay of satellite link was a huge challenge which may lead to high handoff dropping probability. In order to address this problem, a novel handoff decision strategy was proposed based on the predictive RSS and Q-learning algorithm. Extensive simulation results demonstrate that the proposed scheme can decrease the handoff dropping probability, reduce the unnecessary handoff times and maximize the network reward. In addition, the proposed scheme can also adapt to the situation of high-speed movement very well. ©, 2015, Editorial Board of Journal on Communications. All right reserved.

引用

页码：252 / 258

页数：6

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