DocumentCode :
2147610
Title :
Cooperative and cognitive wireless networks for communication-based train control (CBTC) systems
Author :
Li, Kaicheng ; Zhu, Li ; Yu, F.Richard ; Tang, Tao ; Ning, Bin
Author_Institution :
State Key Lab. of Rail Traffic Control and Safety, Beijing Jiaotong University, China
fYear :
2015
fDate :
8-12 June 2015
Firstpage :
3958
Lastpage :
3962
Abstract :
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.
Keywords :
Handover; Learning (artificial intelligence); Mobile communication; Relays; Wireless communication; CBTC; Cooperative and cognitive communications; cognitive control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/ICC.2015.7248942
Filename :
7248942
Link To Document :
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