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Wireless Personal Communications

, Volume 49, Issue 1, pp 87–105 | Cite as

Enhancing Channel Estimation in Cognitive Radio Systems by means of Bayesian Networks

  • Panagiotis DemestichasEmail author
  • Apostolos Katidiotis
  • Kostas A. Tsagkaris
  • Evgenia F. Adamopoulou
  • Konstantinos P. Demestichas
Article

Abstract

This paper proposes enhancements to the channel(-state) estimation phase of a cognitive radio system. Cognitive radio devices have the ability to dynamically select their operating configurations, based on environment aspects, goals, profiles, preferences etc. The proposed method aims at evaluating the various candidate configurations that a cognitive transmitter may operate in, by associating a capability e.g., achievable bit-rate, with each of these configurations. It takes into account calculations of channel capacity provided by channel-state estimation information (CSI) and the sensed environment, and at the same time increases the certainty about the configuration evaluations by considering past experience and knowledge through the use of Bayesian networks. Results from comprehensive scenarios show the impact of our method on the behaviour of cognitive radio systems, whereas potential application and future work are identified.

Keywords

Cognitive networks Channel-State Information (CSI) Machine learning Bayesian networks 

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Copyright information

© Springer Science+Business Media, LLC. 2008

Authors and Affiliations

  • Panagiotis Demestichas
    • 1
    Email author
  • Apostolos Katidiotis
    • 1
  • Kostas A. Tsagkaris
    • 1
  • Evgenia F. Adamopoulou
    • 2
  • Konstantinos P. Demestichas
    • 2
  1. 1.University of PiraeusPiraeusGreece
  2. 2.National Technical University of AthensAthensGreece

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