Skip to main content
SpringerLink
Log in

Testbeds and Implementation Issues

  • Chapter
  • First Online:
Cognitive Communication and Cooperative HetNet Coexistence

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

A Cognitive Radio (CR) system can be visualised in Fig. 15.1 as a complicated wireless communication system that involves a virtual engine (soul) and a platform (body). The engine is implemented based on a number of logical arguments in order to reason and negotiate with other wireless systems, aiming towards the optimum utilisation of the spectrum while ensuring minimum disruption to existing wireless systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Amanna, A.E., Ali, D., Gadhiok, M., Price, M., Reed, J.H.: Cognitive radio engine parametric optimization utilizing Taguchi analysis. EURASIP J. Wirel. Commun. Netw. 2012, 2012:5, doi:10.1186/1687-1499-2012-5. Available via http://jwcn.eurasipjournals.com/content/pdf/1687-1499-2012-5.pdf. Accessed: 29 May 2013

  2. ASGARD. http://asgard.lab.es.aau.dk/joomla/. Accessed 5 June 2013

  3. BEE2. http://bee2.eecs.berkeley.edu/. Accessed 26 May 2013

  4. BEEcube website. http://beecube.com. Accessed 15 June 2013

  5. Cabric, D., Taubenheim, D., Cafaro, G., Farrel, R.: Cognitive radio platforms and testbeds. In: Wyglinski, A.M., Nekovee, M., Hou, T. (eds.) Cognitive Radio Communications and Networks-Principles and Practice, pp. 539–558. Elsevier, Burlington (2010)

    Google Scholar 

  6. Carlson Wireless. Online: http://www.carlsonwireless.com. Accessed 15 June 2013

  7. Cattoni, A.F., Nguyen, H.T., Duplicy, J., Tandur, D., Badic, B., Balraj, R., Kaltenberger, F., Latif, I., Bhamri, A., Vivier, G., Kovacs, I.J., Horvath, P.: Multi-user MIMO and Carrier Aggregation in 4G systems: The SAMURAI approach. In: Paper Presented at the 2012 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–4. Paris, France (2012)

    Google Scholar 

  8. Challapali, K., Philips Research North America (private communication). FAQ on CogNeA Alliance, K. Kimyacioglu, Philips

    Google Scholar 

  9. Clancy, C.T., Hecker, J., Stuntebeck, E., O’Shea, T.: Applications of machine learning to cognitive radio networks. IEEE Wirel. Commun. 14(4), 47–52 (2007). doi:10.1109/MWC.2007.4300983

    Article  Google Scholar 

  10. CogNeA. http://www.cognea.com/. Accessed 7 June 2013

  11. CROSS - Wireless @ Virginia Tech. http://cornet.wireless.vt.edu/trac/wiki/Cross. Accessed 2 June 2013

  12. Darpa XG Program. http://xg.csl.sri.com/. Accessed 12 May 2013

  13. Denker, G., Elenius, D., Senanayake, R., Stehr, M.O., Talcott, C., Wilkins, D.: Cognitive Policy Radio Language (CoRaL) A Language for Spectrum Policies, XG Policy Language. ICS-16763-TR-07-001, SRI, International, April 2007

    Google Scholar 

  14. Denker, G., Elenius, D., Senanayake, R., Stehr, M.O., Wilkins, D.: A policy engine for spectrum sharing. In: Paper Presented at the IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2007), pp. 17–20. Dublin, Ireland (2007)

    Google Scholar 

  15. ECMA-392: MAC and PHY for Operation in TV White Space. Online: http://www.ecma-international.org/publications/standards/Ecma-392.htm. Accessed 16 June 2013

  16. ETTUS Research — USRP2. https://www.ettus.com/product. Accessed 4 June 2013

  17. eyesIFXv2 node characteristics. Online: http://www.crew-project.eu/content/hardware-and-testbed-lay-out. Accessed 16 June 2013

  18. FP7-CREW Project. http://www.crew-project.eu/overview. Accessed 28 May 2013

  19. Friend, D.H., EINainay, M.Y., Shi, Y., MacKenzie, A.B.: Architecture and Performance of an Island genetic algorithm-based cognitive network. In: Paper Presented at the 5th IEEE Consumer Communications and Networking Conference, pp. 10–12. Las Vegas, Nevada (2008)

    Google Scholar 

  20. GNU Radio. http://gnuradio.org/redmine/projects/gnuradio/wiki. Accessed 7 June 2013

  21. IEEE 802.11af PHY overview. Online: http://standards.ieee.org/develop/project/802.11af.html. Accessed 16 June 2013

  22. IEEE 802.11af PHY overview. Online: https://mentor.ieee.org/802.11/dcn/12/11-12-0866-02-00af-phy-overview.pptx. Accessed 16 June 2013

  23. IEEE 802.19.1. Online: http://www.ieee802.org/19. Accessed 16 June 2013

  24. IEEE Standard for Local and metropolitan area networks Part 16. Air Interface for Broadband Wireless Access Systems Amendment 2: Improved Coexistence Mechanisms for License-Exempt Operation. IEEE Std 802.16h-2010 (Amendment to IEEE Std 802.16-2009). July 30 2010. 10.1109/IEEESTD.2010.5538195

  25. IRIS weblog. http://irissoftwareradio.wordpress.com. Accessed 15 June 2013

  26. Le, B., Rondeau, T.W., Maldonado, D., Scaperoth, D., Bostian, C.W.: Signal recognition for cognitive radios. In: Paper Presented at the Software Defined Radio Forum, pp. 13–15. Orlando, Florida (2006)

    Google Scholar 

  27. Maldonado, D., Le, B., Hugine, A., Rondeau, T.W., Bostian, C.W.: Cognitive radio applications to dynamic spectrum allocation. In: Paper Presented at the 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access (DySPAN 2005), pp. 8–11. Baltimore, Maryland (2005)

    Google Scholar 

  28. McHenry, M., Livsics, E., Nguyen, T., Majumdar, N.: XG Dynamic spectrum access field test results. IEEE Commun. Mag. 45(6), 51–57 (2007). doi:10.1109/MCOM.2007.374432

    Article  Google Scholar 

  29. Mishra, S.M., Cabric, D., Chang, C.: A real time cognitive radio testbed for physical and link layer experiments. In: Paper Presented at the 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access (DySPAN 2005), pp. 8–11. Baltimore, Maryland (2005)

    Google Scholar 

  30. Neul. Online: http://www.neul.com. Accessed 15 June 2013

  31. Newman, T.R., Barker, B.A., Wyglinski, A.M., Agah, A., Evans, J.B., Minden, G.J.: Cognitive engine implementation for wireless multicarrier transceivers. Wiley J. Wirel. Commun. Mobile Comput. 7(9), 1129–1142 (2007)

    Article  Google Scholar 

  32. Newman, T.R., Evans, J.B., Wyglinski, A.M.: Reconfiguration, adaptation, and optimization. In: Wyglinski, A.M., Nekovee, M., Hou, T. (eds.) Cognitive Radio Communications and Networks-Principles and Practice, pp. 177–198. Elsevier, Burlington (2010)

    Google Scholar 

  33. Robert, M., Sayed, S., Aguayo, C., Menon, R., Channak, K., Valk, C.V., Neely, C., Tsou, T., Mandeville, J., Reed, J.H.: OSSIE: Open source SCA for researchers. In: Paper Presented at the Software Defined Radio Forum, Phoenix (2004)

    Google Scholar 

  34. Rondeau, T.W., Le, B., Maldonado, D., Scaperoth, D., Bostian, C.W.: Cognitive radio formulation and implementation. In: Paper Presented at the 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 8–10. Mykonos Island, Greece (2006)

    Google Scholar 

  35. Rondeau, T.W.: Application of artificial intelligence to wireless communications, Ph.D. dissertation, Virginia Polytechnic Institute and State University, Blacksburg (2007)

    Google Scholar 

  36. SensorLab — “VESNA”. http://sensorlab.ijs.si/hardware.html. Accessed 5 June 2013

  37. Shared Spectrum Company. Online: http://www.sharedspectrum.com/. Accessed 16 June 2013

  38. Si C, Wyglinski, A.M.: Cognitive radio-enabled distributed cross-layer optimization via genetic algorithms. In: Paper Presented at the 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 22–24. Hannover, Germany (2009)

    Google Scholar 

  39. Solc, T., Padrah, Z.: Network design for the LOG-a-TEC outdoor testbed. In: Paper Presented at the 2nd International Workshop on Measurement-based Experimental Research, Methodology and Tools (MERMAT 2013), Dublin, Ireland (2013)

    Google Scholar 

  40. Stuntebeck, E., O’Shea, T., Hecker, J., Clancy, C.T.: Architecture for an open-source cognitive radio. In: Paper presented at the Software Defined Radio Forum, pp. 13–15. Orlando, Florida (2006)

    Google Scholar 

  41. Supported GNU Radio hardware. http://comsec.com/wiki?GnuRadioHardware. Accessed 15 June 2013

  42. TMote Sky Data sheet. Online: http://www.crew-project.eu/sites/default/files/tmote-sky-datasheet.pdf. Accessed 16 June 2013

  43. WARP website. http://warpproject.org. Accessed 15 June 2013

  44. Weightless. Online: http://www.weightless.org. Accessed 15 June 2013

  45. Wireless @ Virginia Tech. http://wireless.vt.edu/. Accessed 2 June 2013

  46. Young, A.R., Kaminski, N.J., Fayez, A., Bostian, C.W.: CSERE (Cognitive System Enabling Radio Evolution): A modular and user-friendly cognitive engine. In: Paper presented at the 6th IEEE International Symposium on New Frontiers in Dynamic Spectrum Access (DySPAN 2012), pp. 16–19. Bellevue, Washington, Baltimore, (2012)

    Google Scholar 

  47. Zhao, Z., Peng, Z., Zheng, S., Shang, J.: Cognitive radio spectrum allocation using evolutionary algorithms. IEEE Trans. Wirel. Commun. 8(9), 4421–4425 (2009). doi:10.1109/TWC.2009.080939

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. European University Cyprus, Egkomi, Cyprus

    K. Katzis

  2. CSP-Innovation in ICT, Torino, Italy

    A. Perotti

  3. Sapienza University of Rome, Rome, Italy

    L. De Nardis

Authors
  1. K. Katzis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Perotti
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. L. De Nardis
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to K. Katzis .

Editor information

Editors and Affiliations

  1. Rome, Italy

    Maria-Gabriella Di Benedetto

  2. Rennes, France

    Faouzi Bader

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Katzis, K., Perotti, A., De Nardis, L. (2014). Testbeds and Implementation Issues. In: Di Benedetto, MG., Bader, F. (eds) Cognitive Communication and Cooperative HetNet Coexistence. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-01402-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-01402-9_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01401-2

  • Online ISBN: 978-3-319-01402-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation