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

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

doi:10.1109/glocom.2018.8647778

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 proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

10 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 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 language	English
Title of host publication	2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781538647271
ISBN (Print)	9781538647288
DOIs	https://doi.org/10.1109/glocom.2018.8647778
Publication status	Published - 21 Feb 2019
Externally published	Yes
Event	2018 IEEE Global Communications Conference - Abu Dhabi, United Arab Emirates Duration: 9 Dec 2018 → 13 Dec 2018 https://globecom2018.ieee-globecom.org/

Conference

Conference	2018 IEEE Global Communications Conference
Abbreviated title	GLOBECOM
Country	United Arab Emirates
City	Abu Dhabi
Period	9/12/18 → 13/12/18
Internet address	https://globecom2018.ieee-globecom.org/

Bibliographical note

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must
be obtained for all other uses, in any current or future media, including
reprinting/republishing this material for advertising or promotional purposes,
creating new collective works, for resale or redistribution to servers or lists, or
reuse of any copyrighted component of this work in other works.

Keywords

Random Variables
Shadow Mapping
Energy Detection
Spectrum Sensing

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Energy Detection-Based Spectrum Sensing over Fisher-Snedecor F Fading Channels. / Yoo, Seong Ki; Cotton, Simon; Sofotasios, Paschalis; Muhaidat, Sami; Badarneh, Osamah; Karagiannidis, George.

2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings. IEEE, 2019. 8647778.

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

Yoo, SK, Cotton, S, Sofotasios, P, Muhaidat, S, Badarneh, O & Karagiannidis, G 2019, Energy Detection-Based Spectrum Sensing over Fisher-Snedecor F Fading Channels. in 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings., 8647778, IEEE, 2018 IEEE Global Communications Conference, Abu Dhabi, United Arab Emirates, 9/12/18. https://doi.org/10.1109/glocom.2018.8647778

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AB - 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.

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