Bandwidth-constrained multistage Bayesian game for spectrum trading in cognitive radio networks

Chong Y. Lee*, Feng-Tsun Chien

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we study the problem of spectrum trading in cognitive radio (CR) networks from a game theoretical perspective. Particularly, we consider the CR network with multiple primary services (PS's) and a single secondary service (SS), where all PS's are sellers competing in the prices and the SS is the buyer deciding how much spectrum is demanded from each PS in the trading game. Aiming at dealing with the trading behaviors, we propose using a multistage Bayesian game based trading model to account for possible unknown private information in each player, and obtain the perfect Bayesian equilibrium (PBE) sequentially under a bandwidth constraint. By the backward induction principle, we translate the Karush-Kuhn-Tucker (KKT) condition of the SS to form a joint KKT conditions with PS in order to solve the optimization problem. Finally, in the simulations, we compare the proposed approach with that in [1], and numerically study the convergence behaviors of the proposed multistage game.

Original languageEnglish
Title of host publication2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
DOIs
StatePublished - 1 Dec 2009
Event2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009 - Tokyo, Japan
Duration: 13 Sep 200916 Sep 2009

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Conference

Conference2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
CountryJapan
CityTokyo
Period13/09/0916/09/09

Keywords

  • Bayesian game
  • Cognitive radio
  • Game theory
  • Joint KKT condition
  • Spectrum sharing

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