Dynamic power management in cognitive radio networks based on constrained stochastic games

Chia Wei Wang*, Yu Pin Hsu, Kai-Ten Feng

*Corresponding author for this work

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

4 Scopus citations


Recent studies have been conducted to indicate the ineffective usage of licensed bands due to the static spectrum allocation. In order to improve the spectrum utilization, the cognitive radio is therefore suggested to dynamically exploit the opportunistic primary frequency spectrums. The interference from the secondary users to the primary user consequently draws the attention to the spectrum and power management for the cognitive radio networks. In this paper, the constrained stochastic games are utilized to exploit the optimal policies for power management by considering the variations from both the channel gain and the primary traffic. Both the underlay and overlay waveforms are considered within the network scenarios for the proposed power management scheme. Constraints for allowable interferences will be applied in order to preserve the communication quality among the primary and the secondary users. According to the formulation of the constrained stochastic games, the existence of the constrained Nash equilibrium will be validated with rigorous proofs, which will be acquired as the optimal policies for the power management problem. Simulation results further validate the correctness of the theoreticallyderived policies for dynamic power management.

Original languageEnglish
Title of host publicationGLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference
StatePublished - 1 Dec 2009
Event2009 IEEE Global Telecommunications Conference, GLOBECOM 2009 - Honolulu, HI, United States
Duration: 30 Nov 20094 Dec 2009

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference


Conference2009 IEEE Global Telecommunications Conference, GLOBECOM 2009
CountryUnited States
CityHonolulu, HI


  • Cognitive radio
  • Constrained Nash equilibrium
  • Constrained stochastic games
  • Dynamic power management

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