Analysis of spectrum utilization of cognitive radio networks in Nakagami fading channels

Mohammed Abdel-Hafez, Khaled Shuaib, Omkalthoum El Bashir Hamed

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper addresses the spectrum utilization due to cognitive radio (CR) access in terms of the secondary users' network capacity in Nakagami fading channels. A new mathematical model is developed for the secondary network capacity when both accessing and sensing channels undergo Nakagami-m fading with none-integer fading parameters. Exact and approximate analytical expressions for the capacity are derived. Some simplified special cases are also investigated such as the integer-fading parameter. The numerical evaluation of channel capacity is presented for different channel sensing and accessing methods under different fading scenarios. The effects of detection and accessing channels' parameters on the capacity are also explored. It is found that a good sensing system with high secondary user signal-to-noise ratio, accessing the licensed band maximizes the spectrum utilization. To maximize the spectrum utilization a proper sensing scheme is required given that an acceptable QoS of primary users is maintained.

Original languageBritish English
Title of host publication2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980918
DOIs
StatePublished - 25 Jan 2016
Event82nd IEEE Vehicular Technology Conference, VTC Fall 2015 - Boston, United States
Duration: 6 Sep 20159 Sep 2015

Publication series

Name2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings

Conference

Conference82nd IEEE Vehicular Technology Conference, VTC Fall 2015
Country/TerritoryUnited States
CityBoston
Period6/09/159/09/15

Keywords

  • Cognitive radio
  • Information capacity
  • Nakagami-m fading channel
  • Opportunistic access
  • Spectrum sensing
  • Spectrum utilization

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