Learning equilibria for power allocation games in cognitive radio networks with a jammer

Raghed El-Bardan, Vinod Sharma, Pramod Kumar Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper, competitive interactions between a secondary transmitter-receiver pair and a jammer are investigated in a distributed manner over N orthogonal frequency bands, each of which is licensed to a primary user (PU). There is an interference restriction at the secondary receiver (SR) and power budget constraints at the secondary transmitter (ST) and the jammer. In addition, the ST (jammer) does not know the channels' gains of the jammer (ST). After sensing each of the frequency bands, the ST and the jammer decide how to transmit information and how to block these transmissions respectively. In this respect, both the ST and the jammer incur a communication cost and the SR sends an acknowledgment (ACK) if it decodes the information correctly. Otherwise, it sends a negative ACK (NACK). The strategic and distributed power allocation between the ST and the jammer is modeled as a stochastic game in which we employ a multiplicative weight no-regret learning mechanism to obtain an equilibrium point.

Original languageEnglish (US)
Title of host publication2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1104-1109
Number of pages6
ISBN (Electronic)9781509045457
DOIs
StatePublished - Apr 19 2017
Event2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Washington, United States
Duration: Dec 7 2016Dec 9 2016

Other

Other2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016
CountryUnited States
CityWashington
Period12/7/1612/9/16

Keywords

  • Cognitive radio networks
  • Game theory
  • Jammer
  • Learning and coarse-correlated equilibrium
  • Power allocation

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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