Closed form expression of the saddle point in cognitive radio and jammer power allocation game

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

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

Abstract

In this paper, we study the power allocation problem for a cognitive radio in the presence of a smart jammer over parallel Gaussian channels. The objective of the jammer is to minimize the total capacity achievable by the cognitive radio. We model the interaction between the two players as a zero-sum game, for which we derive the saddle point closed form expression. First, we start by solving each player’s unilateral game to find its optimal power allocation. These games will be played iteratively until reaching the Nash equilibrium. It turns out that it is possible to develop analytical expressions for the optimal strategies characterizing the saddle point of this minimax problem, under certain condition. The analytic expressions will be compared to the simulation results of the Nash equilibrium.

Original languageEnglish
Title of host publicationCognitive Radio Oriented Wireless Networks - 11th International Conference, CROWNCOM 2016, Proceedings
EditorsDominique Noguet, Klaus Moessner, Jacques Palicot
PublisherSpringer
Pages29-40
Number of pages12
ISBN (Print)9783319403519
DOIs
Publication statusPublished - 2016
Event11th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2016 - Grenoble, France
Duration: 30 May 20161 Jun 2016

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume172
ISSN (Print)1867-8211

Conference

Conference11th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2016
Country/TerritoryFrance
CityGrenoble
Period30/05/161/06/16

Keywords

  • Cognitive radio
  • Jammer
  • Nash equilibrium
  • Power allocation
  • Saddle point

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