This paper discusses a railway specific cognitive radio that builds upon software defined radio (SDR) platforms to adapt the radio based situational awareness. Cognitive Radio incorporates artificial intelligence based algorithms with reconfigurable software-defined radios that enable automatic adjustments of the radio to improve performance and overcome obstacles the radio may confront in the field (i.e. environmental/man-made interference, occupying the same channel as a user with higher priority, etc.). This paper describes the Railway Cognitive Radio (Rail-CR) architecture and illustrates preliminary results in simulation. The proposed cognitive engine architecture consists of a case-based reasoned (CBR) and a Genetic Algorithm (GA) optimization routine. This paper discusses the overall cognitive architecture, the relationship between the CBR and the GA based on weighted objective functions, and metrics for assessing performance. Methods for case representation, quantifying similarity between cases histories, and techniques for managing case growth rate are presented as well as a proposed test bed SDR platform.
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ASME 2010 Rail Transportation Division Fall Technical Conference
October 12–13, 2010
Roanoke, Virginia, USA
Conference Sponsors:
- Rail Transportation Division
ISBN:
978-0-7918-4406-9
PROCEEDINGS PAPER
Cognitive Engine Architecture for Railway Communications Available to Purchase
Ashwin Amanna,
Ashwin Amanna
Virginia Tech, Blacksburg, VA
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Matthew J. Price,
Matthew J. Price
Virginia Tech, Blacksburg, VA
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Manik Gadhiok,
Manik Gadhiok
Virginia Tech, Blacksburg, VA
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Jeffrey H. Reed
Jeffrey H. Reed
Virginia Tech, Blacksburg, VA
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Ashwin Amanna
Virginia Tech, Blacksburg, VA
Matthew J. Price
Virginia Tech, Blacksburg, VA
Soumava Bera
Virginia Tech, Blacksburg, VA
Manik Gadhiok
Virginia Tech, Blacksburg, VA
Jeffrey H. Reed
Virginia Tech, Blacksburg, VA
Paper No:
RTDF2010-42011, pp. 61-66; 6 pages
Published Online:
April 6, 2011
Citation
Amanna, A, Price, MJ, Bera, S, Gadhiok, M, & Reed, JH. "Cognitive Engine Architecture for Railway Communications." Proceedings of the ASME 2010 Rail Transportation Division Fall Technical Conference. ASME 2010 Rail Transportation Division Fall Technical Conference. Roanoke, Virginia, USA. October 12–13, 2010. pp. 61-66. ASME. https://doi.org/10.1115/RTDF2010-42011
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