Error rate analysis of cognitive radio transmissions with imperfect channel sensing

Gozde Ozcan, M. Cenk Gursoy, Sinan Gezici

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

3 Scopus citations

Abstract

In this paper, error rate performance of cognitive radio transmissions is studied in the presence of imperfect channel sensing decisions. It is assumed that cognitive users first perform channel sensing, albeit with possible errors. Then, depending on the sensing decisions, they select the transmission energy level and employ MI × MQ rectangular quadrature amplitude modulation (QAM) for data transmission over a fading channel. In this setting, the optimal decision rule is formulated under the assumptions that the receiver is equipped with the sensing decision and perfect knowledge of the channel fading. It is shown that the thresholds for optimal detection at the receiver are the midpoints between the signals under any sensing decision. Subsequently, minimum average error probability expressions for M-ary pulse amplitude modulation (M-PAM) and MI×MQ rectangular QAM transmissions attained with the optimal detector are derived. The effects of imperfect channel sensing decisions on the average symbol error probability are analyzed.

Original languageEnglish (US)
Title of host publication2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
DOIs
StatePublished - Dec 1 2013
Event2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 - Las Vegas, NV, United States
Duration: Sep 2 2013Sep 5 2013

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
CountryUnited States
CityLas Vegas, NV
Period9/2/139/5/13

Keywords

  • Channel sensing
  • Cognitive radio
  • Fading channel
  • Gaussian mixture noise
  • PAM
  • QAM
  • Symbol error probability

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Error rate analysis of cognitive radio transmissions with imperfect channel sensing'. Together they form a unique fingerprint.

  • Cite this

    Ozcan, G., Cenk Gursoy, M., & Gezici, S. (2013). Error rate analysis of cognitive radio transmissions with imperfect channel sensing. In 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 [6692196] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCFall.2013.6692196