AUC study of energy detection based spectrum sensing over η-μ And α-μ fading channels

Alireza Bagheri, Paschalis C. Sofotasios, Theodoros A. Tsiftsis, Ali Shahzadi, Mikko Valkama

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

8 Citations (Scopus)

Abstract

Cognitive radio is regulated to permit efficient access to leftover licensed bands by unlicensed users in an opportunistic manner. Spectrum sensing is aimed to protect the primary users from interferences of the secondary users. Energy detection constitutes the most dominant method for spectrum sensing in cognitive radio and many other systems owing to its non-coherent structure as well as its simplicity and applicability. The sensing capability of wireless detectors in unreliable environments is challenged by adverse effects of multipath fading. Motivated by this, in the presented work the performance analysis of the energy detector is investigated over η-μ and α-μ fading channels. Novel closed-form expressions are derived for the detector using the area under the receiver operating characteristic curve (AUC) measure. The derived analytical results are verified by numerical computations and Monte Carlo simulations.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1410-1415
Number of pages6
Volume2015-September
ISBN (Print)9781467364324
DOIs
Publication statusPublished - Sep 9 2015
Externally publishedYes
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: Jun 8 2015Jun 12 2015

Other

OtherIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom
CityLondon
Period6/8/156/12/15

Fingerprint

Fading channels
Cognitive radio
Detectors
Multipath fading
Monte Carlo simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Cite this

Bagheri, A., Sofotasios, P. C., Tsiftsis, T. A., Shahzadi, A., & Valkama, M. (2015). AUC study of energy detection based spectrum sensing over η-μ And α-μ fading channels. In IEEE International Conference on Communications (Vol. 2015-September, pp. 1410-1415). [7248521] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7248521

AUC study of energy detection based spectrum sensing over η-μ And α-μ fading channels. / Bagheri, Alireza; Sofotasios, Paschalis C.; Tsiftsis, Theodoros A.; Shahzadi, Ali; Valkama, Mikko.

IEEE International Conference on Communications. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. p. 1410-1415 7248521.

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

Bagheri, A, Sofotasios, PC, Tsiftsis, TA, Shahzadi, A & Valkama, M 2015, AUC study of energy detection based spectrum sensing over η-μ And α-μ fading channels. in IEEE International Conference on Communications. vol. 2015-September, 7248521, Institute of Electrical and Electronics Engineers Inc., pp. 1410-1415, IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 6/8/15. https://doi.org/10.1109/ICC.2015.7248521
Bagheri A, Sofotasios PC, Tsiftsis TA, Shahzadi A, Valkama M. AUC study of energy detection based spectrum sensing over η-μ And α-μ fading channels. In IEEE International Conference on Communications. Vol. 2015-September. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1410-1415. 7248521 https://doi.org/10.1109/ICC.2015.7248521
Bagheri, Alireza ; Sofotasios, Paschalis C. ; Tsiftsis, Theodoros A. ; Shahzadi, Ali ; Valkama, Mikko. / AUC study of energy detection based spectrum sensing over η-μ And α-μ fading channels. IEEE International Conference on Communications. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1410-1415
@inproceedings{91bc02e075774746a24843b50d2ac198,
title = "AUC study of energy detection based spectrum sensing over η-μ And α-μ fading channels",
abstract = "Cognitive radio is regulated to permit efficient access to leftover licensed bands by unlicensed users in an opportunistic manner. Spectrum sensing is aimed to protect the primary users from interferences of the secondary users. Energy detection constitutes the most dominant method for spectrum sensing in cognitive radio and many other systems owing to its non-coherent structure as well as its simplicity and applicability. The sensing capability of wireless detectors in unreliable environments is challenged by adverse effects of multipath fading. Motivated by this, in the presented work the performance analysis of the energy detector is investigated over η-μ and α-μ fading channels. Novel closed-form expressions are derived for the detector using the area under the receiver operating characteristic curve (AUC) measure. The derived analytical results are verified by numerical computations and Monte Carlo simulations.",
author = "Alireza Bagheri and Sofotasios, {Paschalis C.} and Tsiftsis, {Theodoros A.} and Ali Shahzadi and Mikko Valkama",
year = "2015",
month = "9",
day = "9",
doi = "10.1109/ICC.2015.7248521",
language = "English",
isbn = "9781467364324",
volume = "2015-September",
pages = "1410--1415",
booktitle = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

TY - GEN

T1 - AUC study of energy detection based spectrum sensing over η-μ And α-μ fading channels

AU - Bagheri, Alireza

AU - Sofotasios, Paschalis C.

AU - Tsiftsis, Theodoros A.

AU - Shahzadi, Ali

AU - Valkama, Mikko

PY - 2015/9/9

Y1 - 2015/9/9

N2 - Cognitive radio is regulated to permit efficient access to leftover licensed bands by unlicensed users in an opportunistic manner. Spectrum sensing is aimed to protect the primary users from interferences of the secondary users. Energy detection constitutes the most dominant method for spectrum sensing in cognitive radio and many other systems owing to its non-coherent structure as well as its simplicity and applicability. The sensing capability of wireless detectors in unreliable environments is challenged by adverse effects of multipath fading. Motivated by this, in the presented work the performance analysis of the energy detector is investigated over η-μ and α-μ fading channels. Novel closed-form expressions are derived for the detector using the area under the receiver operating characteristic curve (AUC) measure. The derived analytical results are verified by numerical computations and Monte Carlo simulations.

AB - Cognitive radio is regulated to permit efficient access to leftover licensed bands by unlicensed users in an opportunistic manner. Spectrum sensing is aimed to protect the primary users from interferences of the secondary users. Energy detection constitutes the most dominant method for spectrum sensing in cognitive radio and many other systems owing to its non-coherent structure as well as its simplicity and applicability. The sensing capability of wireless detectors in unreliable environments is challenged by adverse effects of multipath fading. Motivated by this, in the presented work the performance analysis of the energy detector is investigated over η-μ and α-μ fading channels. Novel closed-form expressions are derived for the detector using the area under the receiver operating characteristic curve (AUC) measure. The derived analytical results are verified by numerical computations and Monte Carlo simulations.

UR - http://www.scopus.com/inward/record.url?scp=84953710075&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84953710075&partnerID=8YFLogxK

U2 - 10.1109/ICC.2015.7248521

DO - 10.1109/ICC.2015.7248521

M3 - Conference contribution

SN - 9781467364324

VL - 2015-September

SP - 1410

EP - 1415

BT - IEEE International Conference on Communications

PB - Institute of Electrical and Electronics Engineers Inc.

ER -