A fuzzy-based optimization technique for the energy and spectrum efficiencies trade-off in cognitive radio-enabled 5g network

Osamah Ibrahim Khalaf, Kingsley A. Ogudo, Manwinder Singh

Research output: Contribution to journalArticlepeer-review

53 Citations (Scopus)

Abstract

In 5G systems, enhancing the energy efficiency (EE) and spectrum efficiency (SE) is a significant task that is capable of fulfilling the demand of future wireless networks and providing Quality of Service (QoS) provisioning, such as high throughput with low power consumption. In the present work, a look-up table enabled a fuzzy-based approach to investigate the SE and EE issues in 5G networks and obtained an efficient symmetrical trade-off between them to enhance the system’s overall performance. We completed simulations in NS-2.31 software version 2.31, and MATLAB is used to visualize the results. The proposed model achieved maximum values of EE and SE of 0.92 bit/J/Hz with a sensing time τs(LUT) = 20 ms. Furthermore, optimizing the sensing time and the secondary user (SU) transmission power, yielded a maximum EE and provided a QoS provisioned cognitive radio-enabled 5G network.

Original languageEnglish
Article number47
Pages (from-to)1-14
Number of pages14
JournalSymmetry
Volume13
Issue number1
DOIs
Publication statusPublished - Dec 2021

Keywords

  • 5G-CRN
  • Co-operative spectrum sensing (CSS)
  • Cognitive radios (CR)
  • Energy efficiency
  • Energy harvesting (EH)
  • Look-up table (LUT)
  • Quality of service provision-ing
  • Spectrum efficiency
  • Symmetrical trade-off

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Chemistry (miscellaneous)
  • General Mathematics
  • Physics and Astronomy (miscellaneous)

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