Spectrum sensing in cognitive radio networks : QoS considerations

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

The rapidly growing number of wireless communication devices has led to massive increases in radio traffic density, resulting in a noticeable shortage of available spectrum. To address this shortage, the Cognitive Radio (CR) technology offers promising solutions that aim to improve the spectrum utilization. The operation of CR relies on detecting the so-called spectrum holes, the frequency bands that remain unoccupied by their licensed operators. The unlicensed users are then allowed to communicate using these spectrum holes. As such, the performance of CR is highly dependent on the employed spectrum sensing methods. Several sensing methods are already available. However, no individual method can accommodate all potential CR operation scenarios. Hence, it is fair to ascertain that the performance of a CR device can be improved if it is capable of supporting several sensing methods. It should obviously also be able to select the most suitable method. In this paper, several spectrum sensing methods are compared and analyzed, aiming to identify their advantages and shortcomings in different CR operating conditions. Furthermore, it identifies the features that need to be considered while selecting a suitable sensing method from the catalog of available methods.
Original languageEnglish
Title of host publicationComputer Science & Information Technology (CS & IT) Vol. 5 (16): Proceedings of the Seventh International Conference on Network and Communications (NETCOM 2015), 26-27 December 2015, Sydney, Australia
PublisherAcademy & Industry Research Collaboration Center (AIRCC)
Pages9-19
Number of pages11
DOIs
Publication statusPublished - 2015
EventInternational Conference on Network and Communications -
Duration: 26 Dec 2015 → …

Publication series

Name
ISSN (Print)2231-5403

Conference

ConferenceInternational Conference on Network and Communications
Period26/12/15 → …

Keywords

  • cognitive radio networks
  • signal detection
  • spectrum sensing
  • quality of service (computer networks)

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