Cooperative and Cognitive Wireless Networks for Communication-based Train Control (CBTC) Systems

被引：0

作者：

Li, Kaicheng ^{[1
]}

Zhu, Li ^{[1
]}

Yu, F. Richard ^{[2
]}

Tang, Tao ^{[1
]}

Ning, Bin ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China

[2] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2015年

关键词：

Cooperative and cognitive communications; CBTC; cognitive control; DESIGN;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this paper, with recent advances in cooperative and cognitive wireless networks, we propose a CBTC system to enable train-train direct communications. In addition, the proposed system is optimized with the cognitive control method. Unlike the exiting works on cooperative wireless networks, in this paper, train control performance in CBTC systems is explicitly used as the performance measure in the design. Reinforcement learning is applied to obtain the optimal handover decision and adaption policy of communication parameters. Simulation result shows that the performance of train control can be improved significantly in our proposed CBTC system.

引用

页码：3958 / 3962

页数：5

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