Power allocation for cognitive radio networks under channel uncertainty

Emiliano Dall'Anese, Seung Jun Kim, Georgios B. Giannakis, Silvano Pupolin

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

12 Scopus citations

Abstract

Cognitive radio (CR) networks can re-use the RF spectrum licensed to the primary user (PU) network by carefully controlling the interference to the PUs. However, due to lack of explicit support from the PU system, CR sensing algorithms often face difficulty in acquiring CR-to-PU channels accurately. Moreover, the sensing algorithms cannot detect silent PU receivers, which nevertheless have to be protected. In order to achieve aggressive spectrum re-use even in such challenging scenarios, a CR power control problem with probabilistic interference constraints is formulated. Both log-normal shadowing and small-scale fading uncertainties are taken into account through suitable approximations. In particular, a weighted sum-rate maximization problem is considered, whose Karush-Kuhn-Tucker points are obtained via sequential geometric programming. Numerical tests verify the performance of our novel approach.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Communications, ICC 2011
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Communications, ICC 2011 - Kyoto, Japan
Duration: Jun 5 2011Jun 9 2011

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Other

Other2011 IEEE International Conference on Communications, ICC 2011
CountryJapan
CityKyoto
Period6/5/116/9/11

Keywords

  • Cognitive radio
  • channel uncertainty
  • geometric programming
  • power control

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