Adaptive underlay cognitive radios with imperfect CSI and probabilistic interference constraints

Antonio G. Marques, Luis M. Lopez-Ramos, Georgios B Giannakis, Javier Ramos

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

Abstract

Efficient design of cognitive radios requires secondary users implementing adaptive resource allocation schemes that exploit knowledge of the channel state information (CSI), and limit interference to the primary system. In this paper, stochastic resource allocation algorithms are developed for underlay cognitive radios to maximize the sum-rate of secondary users while adhering to average power and probability of interference constraints. The latter guarantee that during most of the time the power interfering with primary receivers stays below a certain pre-specified level. Although the resultant optimization problem is non-convex, it exhibits zero-duality gap and can be efficiently solved. The optimal schemes are a function of the link quality of the secondary network, the activity of the primary users, and the Lagrange multipliers associated with the considered constraints. The focus is on developing algorithms that: i) employ stochastic approximation tools to estimate the multipliers; and ii) are able to cope with imperfections present in the CSI of the primary network.

Original languageEnglish (US)
Title of host publication2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
Pages161-164
Number of pages4
DOIs
StatePublished - Dec 1 2011
Event2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011 - San Juan, Puerto Rico
Duration: Dec 13 2011Dec 16 2011

Publication series

Name2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011

Other

Other2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011
CountryPuerto Rico
CitySan Juan
Period12/13/1112/16/11

Keywords

  • Cognitive radio
  • approximation
  • imperfect channel state information
  • resource management
  • stochastic

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