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A comparative study of cognitive radio platforms

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Published:28 October 2012Publication History

ABSTRACT

Cognitive radio (CR) technology has become one of the buzzwords within the wireless communications community over the past 12 years. Its ability to learn, decide and adapt to the external environment made CR attractive to regulators, researchers, academia, politicians and the industry. CR promises to bring a paradigm shift in spectrum management policies from command-and-control regime to dynamic and opportunistic spectrum access. Despite more than a decade of research in the CR area, there are too little CR systems ready for the market. This lack of ready CR systems may reflect an overemphasis in the CR literature on theory and simulations with less work done in experimental-based-research and publications. In order to fast-track the real-life deployments of CR systems, the research community is now focusing on the development of CR platforms. With different software defined radio (SDR) packages and hardware available, it is confusing to decide which one to build or use. The objective of this paper is to study the design of CR platforms making use available SDR software packages and hardware. Our conclusion is that CR research should now focus on experimental-based results using real-life CR platforms in order to realize market-ready CR systems.

References

  1. Wireless open-access research platform (warp) website.Google ScholarGoogle Scholar
  2. A. Alvarez et al. In pursuit of massive service emulation: a methodology for testbed building. IEEE Communications Magazine, 49(9):162--168, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  3. ASGARD. ASGARD software radio website, http://asgard.lab.es.aau.dk.Google ScholarGoogle Scholar
  4. Z. Chen, N. Guo, and R. Qiu. Building a cognitive radio network testbed. In IEEE Southeastcon Proc., pages 91--96, Nashville, March 17--20 2011.Google ScholarGoogle ScholarCross RefCross Ref
  5. C. Cheng, J. Wawrzynek, and R. W. Brodersen. BEE2: a high-end reconfigurable computing system. IEEE Design & Test of Com., 22(2):114--125, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. GNU-Radio. GNU radio website, http://gnuradio.org/redmine/.Google ScholarGoogle Scholar
  7. C. R. A. Gonzalez et at. Open-source sca-based core framework and rapid development tools enable software-defined radio education and research. IEEE Communications Magazine, 47(10):48--55, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. O. Gustafsson et at. Architectures for cognitive radio testbeds and demonstrators an overview. In CROWNCOM Proc., Cannes, June 9--11 2010.Google ScholarGoogle Scholar
  9. IMEC-COBRA. Imec cobra, http://www.imec.be/.Google ScholarGoogle Scholar
  10. C. Kocks, A. Viessmann, A. Skrebtsov, G. H. Bruck, and P. Jung. Concept and design of a cognitive radio prototyping platform. In Int. Conf. on Cog. Radio and Advanced Spec. Management Proc., Barcelona, Spain, October 26--29 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. S. Kurkowski, T. Camp, and M. Colagrosso. MANET simulation studies: the incredibles. SIGMOBILE Mobile Computing Communications, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. K. Mandke, S. Choi, G. Kim, R. Grant, R. C. Daniels, W. Kim, R. W. Heath, and S. Nettles. Early results on hydra: A flexible MAC/PHY multihop testbed. In IEEE VTC Proc., Dublin, Ireland, April 23--25 2007.Google ScholarGoogle ScholarCross RefCross Ref
  13. Mark Ettus. The Ettus research website, http://www.ettus.com/.Google ScholarGoogle Scholar
  14. M. T. Masonta, D. Johnson, and M. Mzyece. The White Space Opportunity in Southern Africa: Measurements with Meraka Cognitive Radio Platform. Springer Lecture Notes, february 2012.Google ScholarGoogle Scholar
  15. J. Mitola. The software radio architecture. IEEE Communications Magazine, 33(5):26--38, May 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. J. Mitola and G. Q. Maguire. Cognitive radio: making software radio more personal. IEEE Personal Communications Magazine, 6(4):13--18, August 1999.Google ScholarGoogle ScholarCross RefCross Ref
  17. P. Pawelczak, K. Nolan, L. Doyle, S. W. Oh, and D. Cabric. Cognitive radio: ten years of experimentation and demonstration. IEEE Communications Magazine, 49(3):90--100, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. R. Ruby, S. Hanna, J. Syndor, and V. C. M. Leung. Interference sensing using coral cognitive radio platforms. In Int. Conf. on CHINACOM Proc., 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. P. D. Sutton, J. Lotze, H. Lahlou, S. A. Fahmy, K. E. Nolan, B. Ozgul, T. Rondeau, J. Noguera, and L. E. Doyle. Iris: an architecture for cognitive radio network testbeds. IEEE Comm. Mag., 48(9):114--122, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. K. Tan, J. Zhang, J. Fang, H. Liu, Y. Ye, S. Wang, Y. Zhang, H. Wu, W. Wang, and G. M. Voelker. Sora: high performance software radio using general purpose multi-core processors. In USENIX Symp. on Net. Systems Design and Impl. Proc., 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Texas Instrument. SFF SDR platform, http://www.ti.com/lit/ml/sprt434a/sprt434a.pdf.Google ScholarGoogle Scholar

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            • Published in

              cover image ACM Other conferences
              MEDES '12: Proceedings of the International Conference on Management of Emergent Digital EcoSystems
              October 2012
              199 pages
              ISBN:9781450317559
              DOI:10.1145/2457276
              • General Chair:
              • Janusz Kacprzyk,
              • Program Chair:
              • Dominique Laurent,
              • Publications Chair:
              • Richard Chbeir

              Copyright © 2012 ACM

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              New York, NY, United States

              Publication History

              • Published: 28 October 2012

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              MEDES '12 Paper Acceptance Rate16of50submissions,32%Overall Acceptance Rate267of682submissions,39%

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