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

Seong Ki Yoo, Simon Cotton, Paschalis Sofotasios, Sami Muhaidat, Osamah Badarneh, George Karagiannidis

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

1 Citation (Scopus)
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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 verified 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, GLOBECOM 2018 - Proceedings
Number of pages6
ISBN (Electronic)9781538647271
ISBN (Print)9781538647288
Publication statusPublished - 21 Feb 2019
Externally publishedYes
Event2018 IEEE Global Communications Conference - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018


Conference2018 IEEE Global Communications Conference
Abbreviated titleGLOBECOM
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Internet address

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  • Random Variables
  • Shadow Mapping
  • Energy Detection
  • Spectrum Sensing


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