Selective weight setting algorithm in cognitive radio network under resource limitation

Israna Hossain Arka, Mahamod Ismail, Ayman A. El-Saleh

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

Abstract

The ever-increasing demand for higher data rates in wireless communications in the face of inadequate or underutilized spectral resources has motivated the introduction of cognitive radio. In cognitive radio network, unlicensed users continuously scan a vast range of frequencies to detect 'white spaces' or 'spectrum holes' that are temporarily and spatially not being used by licensed user, process of which is commonly known as spectrum sensing. In order to implement the cooperative spectrum sensing among Cognitive Radio (CR) users, data fusion schemes are superior to that of decision fusion ones in terms of detection performance but suffer from the drawback of huge traffic overhead when restriction of bandwidth of communication channels and energy consumption of the radio network comes into consideration. In this paper, a combination of data and decision fusion approach is implemented to mutually adventure the advantages of both and a selective weight setting algorithm is proposed by utilizing normal and modified deflection coefficients maximization under Neyman-Pearson criterion in order to obtain a final decision. Also, cluster-based Cooperative Spectrum Sensing (CSS) has been proposed in cognitive radio network to improve the energy efficiency. The simulations show promising results as the hybridization process visibly reduces the network traffic overhead while attaining a highly reasonable detection performance.

Original languageEnglish
Title of host publicationInternational Conference on Space Science and Communication, IconSpace
Pages313-317
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 3rd IEEE International Conference on Space Science and Communication, IconSpace 2013 - Melaka
Duration: 1 Jul 20133 Jul 2013

Other

Other2013 3rd IEEE International Conference on Space Science and Communication, IconSpace 2013
CityMelaka
Period1/7/133/7/13

Fingerprint

Cognitive radio
radio
resources
Data fusion
Telecommunication traffic
Energy efficiency
Energy utilization
energy consumption
performance
Bandwidth
communications
traffic
Communication
energy
efficiency
simulation
communication
demand

Keywords

  • cluster
  • Cognitive radio network
  • cooperative sensing
  • data fusion
  • decision fusion
  • deflection coefficient
  • primary user
  • secondary user
  • selective weight
  • spectrum

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Communication

Cite this

Arka, I. H., Ismail, M., & El-Saleh, A. A. (2013). Selective weight setting algorithm in cognitive radio network under resource limitation. In International Conference on Space Science and Communication, IconSpace (pp. 313-317). [6599487] https://doi.org/10.1109/IconSpace.2013.6599487

Selective weight setting algorithm in cognitive radio network under resource limitation. / Arka, Israna Hossain; Ismail, Mahamod; El-Saleh, Ayman A.

International Conference on Space Science and Communication, IconSpace. 2013. p. 313-317 6599487.

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

Arka, IH, Ismail, M & El-Saleh, AA 2013, Selective weight setting algorithm in cognitive radio network under resource limitation. in International Conference on Space Science and Communication, IconSpace., 6599487, pp. 313-317, 2013 3rd IEEE International Conference on Space Science and Communication, IconSpace 2013, Melaka, 1/7/13. https://doi.org/10.1109/IconSpace.2013.6599487
Arka IH, Ismail M, El-Saleh AA. Selective weight setting algorithm in cognitive radio network under resource limitation. In International Conference on Space Science and Communication, IconSpace. 2013. p. 313-317. 6599487 https://doi.org/10.1109/IconSpace.2013.6599487
Arka, Israna Hossain ; Ismail, Mahamod ; El-Saleh, Ayman A. / Selective weight setting algorithm in cognitive radio network under resource limitation. International Conference on Space Science and Communication, IconSpace. 2013. pp. 313-317
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