Energy-efficient power adaptation for cognitive radio systems under imperfect channel sensing

Gozde Ozcan, M. Cenk Gursoy

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

17 Scopus citations

Abstract

In this paper, energy efficient power adaptation is considered in sensing-based spectrum sharing cognitive radio systems in which secondary users first perform channel sensing and then initiate data transmission with two power levels based on the sensing decisions (e.g., idle or busy). It is assumed that spectrum sensing is performed by the cognitive secondary users, albeit with possible errors. In this setting, the optimization problem of maximizing the energy efficiency (EE) subject to peak/average transmission power constraints and average interference constraints is considered. The circuit power is taken into account for total power consumption. By exploiting the quasiconcave property of the EE maximization problem, the original problem is transformed into an equivalent parameterized concave problem and Dinkelbach's method-based iterative power adaptation algorithm is proposed. The impact of sensing performance, peak/average transmit power constraints and average interference constraint on the energy efficiency of cognitive radio systems is analyzed.

Original languageEnglish (US)
Title of host publication2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages706-711
Number of pages6
ISBN (Print)9781479930883
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014 - Toronto, ON, Canada
Duration: Apr 27 2014May 2 2014

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

Other2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
CountryCanada
CityToronto, ON
Period4/27/145/2/14

Keywords

  • Channel sensing
  • energy efficiency
  • interference power constraints
  • power adaptation
  • probability of detection
  • probability of false alarm
  • transmit power constraints

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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