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Energy Detection-Based Spectrum Sensing over Fisher-Snedecor F Fading Channels

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

2 Citations (Scopus)
34 Downloads (Pure)

Abstract

This paper investigates the performance of energy detection-based spectrum sensing over Fisher-Snedecor F fading channels. To this end, an analytical expression for the corre- sponding average detection probability is firstly derived and then this is extended to account for collaborative spectrum sensing. The complementary receiver operating characteristics (ROC) are analyzed for different conditions of the average signal-to- noise ratio (SNR), time-bandwidth product, multipath fading, shadowing and number of collaborating users. It is shown that the energy detection performance is strongly linked to the severity of the multipath fading and amount of shadowing, whereby even small variations in either of these physical phenomena significantly impact the detection probability. Also, the versatile modeling capability of the Fisher-Snedecor F distribution is veridfied in the context of energy detection based spectrum sensing as it provides considerably more accurate characterization than the conventional Rayleigh fading model. To confirm the validity of the analytical results presented in this paper, we compare them with the results of some simulations.

Original languageEnglish
Title of host publication2018 IEEE Global Communications Conference
PublisherIEEE
ISBN (Electronic)9781538647271
DOIs
Publication statusPublished - 20 Feb 2019
Publication typeA4 Article in conference proceedings
EventIEEE Global Communications Conference - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 2018 → 13 Dec 2018

Conference

ConferenceIEEE Global Communications Conference
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period9/12/18 → 13/12/18

Funding

ACKNOWLEDGEMENT This work was supported in part by the U.K. Engineering and Physical Sciences Research Council under Grant No. EP/L026074/1, the Department for the Economy Northern Ireland through Grant No. USI080, and the Khalifa University of Science and Technology Research Center on Cyber-Physical Systems and the Khalifa University of Science and Technology Grant No. 847066.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Signal Processing
  • Modelling and Simulation
  • Instrumentation
  • Computer Networks and Communications

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