Learning multi-channel power allocation against smart jammer in cognitive radio networks

Feten Slimeni, Bart Scheers, Vincent Le Nir, Zied Chtourou, Rabah Attia

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

Abstract

We model the power allocation interaction between a cognitive radio and a jammer as a two-player zero-sum game. First, we determine the power allocation strategy for the cognitive radio using a modified version of the Q-learning algorithm against fixed jamming strategies. The learned anti-jamming strategy will be compared to the common waterfilling technique. Then, we consider the power allocation game using Q-learning for both the cognitive radio and the jammer. The learned strategies will be compared to the Nash equilibrium found under the assumption of perfect knowledge. Finally, we consider the real scenario of a jammer with imperfect information.

Original languageEnglish
Title of host publication2016 International Conference on Military Communications and Information Systems, ICMCIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017775
DOIs
Publication statusPublished - 20 Jun 2016
Event2016 International Conference on Military Communications and Information Systems, ICMCIS 2016 - Brussels, Belgium
Duration: 23 May 201624 May 2016

Publication series

Name2016 International Conference on Military Communications and Information Systems, ICMCIS 2016

Conference

Conference2016 International Conference on Military Communications and Information Systems, ICMCIS 2016
Country/TerritoryBelgium
CityBrussels
Period23/05/1624/05/16

Keywords

  • Cognitive radio
  • Imperfect information
  • Q-learning
  • cognitive jammer
  • multi-channel power allocation

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