Skip to main content
Log in

Cognitive Radio for Flexible Mobile Multimedia Communications

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

Wireless multimedia applications require significant bandwidth, some of which will be provided by third-generation (3G) services. Even with substantial investment in 3G infrastructure, the radio spectrum allocated to 3G will be limited. Cognitive radio offers a mechanism for the flexible pooling of radio spectrum using a new class of protocols called formal radio etiquettes. This approach could expand the bandwidth available for conventional uses (e.g., police, fire and rescue) and extend the spatial coverage of 3G in a novel way. Cognitive radio is a particular extension of software radio that employs model-based reasoning about users, multimedia content, and communications context. This paper characterizes the potential contributions of cognitive radio to spectrum pooling and outlines an initial framework for formal radio-etiquette protocols.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. J. Mitola, Software Radio: Wireless Architecture for the 21st Century, 103255.2507@compuserve.com, Mitola's STATISfaction, ISBN 0-9671233-0-5 (1999).

  2. J. Mitola, Software radio architecture: a mathematical perspective, IEEE Journal on Selected Areas in Communications (May 1999).

  3. SDR Forum Web Site, www.sdrforum.org (1999).

  4. J. Mitola, Cognitive radio - model-based competence for software radios, Licentiate Thesis, KTH, Stockholm (September 1999).

    Google Scholar 

  5. N. Negroponte, MIT Multimedia Laboratory, Cambridge, MA (1990).

    Google Scholar 

  6. Tetra is a radio technology of Ericsson, Stockholm, Sweden, www. ericsson.se.

  7. J. Zander, Radio resource management in future wireless networks: requirements and limitations, IEEE Communications Magazine (August 1997).

  8. J. Mikkonen, Quality of Service in Radio Access Networks (Tampere University of Technology, Tampere, Finland, May 1999).

    Google Scholar 

  9. R. Ziemer and D. Petersen, Digital Communications and Spread Spectrum Systems (Macmillan, New York, 1985).

    Google Scholar 

  10. T. Finin, KQML - a language and protocol for knowledge and information exchange, in: International Conference on Building and Sharing of Very Large-Scale Knowledge Bases, Tokyo (December 1993).

  11. S. Kaufman, At Home in the Universe (Wiley, New York, 1995).

    Google Scholar 

  12. Dorgio and Gambardella, Ant colony systems: cooperative learning of the travelling salesman, IEEE Transactions on Evolutionary Computation (April 1997).

  13. D. Fogel et al., Inductive reasoning and bounded rationality reconsidered, IEEE Transactions on Evolutionary Computation (July 1999).

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mitola III, J. Cognitive Radio for Flexible Mobile Multimedia Communications. Mobile Networks and Applications 6, 435–441 (2001). https://doi.org/10.1023/A:1011426600077

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1011426600077

Navigation