Spectrum sensing in generalized multipath fading conditions using square-law combining

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

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

7 Citations (Scopus)

Abstract

Energy detection constitutes a popular sensing approach thanks to its relatively satisfactory performance at low complexity requirements. Its efficiency can be practically enhanced by employing diversity schemes which are also capable of providing adequate mitigation of multipath fading effects. Based on this, the present work is devoted to the analysis of energy detection based spectrum sensing over generalized multipath fading channels using square law combining. Unlike the traditional evaluation based on the receiver operating characteristic (ROC) curves, the present analysis is based on the area under ROC curve (AUC), which is a particularly accurate performance measure that is used widely in natural sciences and engineering. To this end, novel closed-form expressions are firstly derived for the conventional AUC over the generalized κ - μ fading channels. These results are subsequently employed for deriving closed-form expressions for the case of square law combining. It is shown that the corresponding performance is, as expected, highly dependent upon the severity of fading and is improved substantially as the number of branches increase. In this context, it is also shown that using up to five branches ensures rather acceptable performance even at non-high signal-to-noise ratio values. Furthermore, the offered results have a relatively convenient algebraic representation and can be useful in analyses relating to cognitive radio and RADAR systems.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7528-7533
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

Multipath fading
Fading channels
Natural sciences
Cognitive radio
Signal to noise ratio

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). Spectrum sensing in generalized multipath fading conditions using square-law combining. In IEEE International Conference on Communications (Vol. 2015-September, pp. 7528-7533). [7249530] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7249530

Spectrum sensing in generalized multipath fading conditions using square-law combining. / 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. 7528-7533 7249530.

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

Bagheri, A, Sofotasios, PC, Tsiftsis, TA, Shahzadi, A & Valkama, M 2015, Spectrum sensing in generalized multipath fading conditions using square-law combining. in IEEE International Conference on Communications. vol. 2015-September, 7249530, Institute of Electrical and Electronics Engineers Inc., pp. 7528-7533, IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 6/8/15. https://doi.org/10.1109/ICC.2015.7249530
Bagheri A, Sofotasios PC, Tsiftsis TA, Shahzadi A, Valkama M. Spectrum sensing in generalized multipath fading conditions using square-law combining. In IEEE International Conference on Communications. Vol. 2015-September. Institute of Electrical and Electronics Engineers Inc. 2015. p. 7528-7533. 7249530 https://doi.org/10.1109/ICC.2015.7249530
Bagheri, Alireza ; Sofotasios, Paschalis C. ; Tsiftsis, Theodoros A. ; Shahzadi, Ali ; Valkama, Mikko. / Spectrum sensing in generalized multipath fading conditions using square-law combining. IEEE International Conference on Communications. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. pp. 7528-7533
@inproceedings{d78c4fc323e64ead831ca08929656b59,
title = "Spectrum sensing in generalized multipath fading conditions using square-law combining",
abstract = "Energy detection constitutes a popular sensing approach thanks to its relatively satisfactory performance at low complexity requirements. Its efficiency can be practically enhanced by employing diversity schemes which are also capable of providing adequate mitigation of multipath fading effects. Based on this, the present work is devoted to the analysis of energy detection based spectrum sensing over generalized multipath fading channels using square law combining. Unlike the traditional evaluation based on the receiver operating characteristic (ROC) curves, the present analysis is based on the area under ROC curve (AUC), which is a particularly accurate performance measure that is used widely in natural sciences and engineering. To this end, novel closed-form expressions are firstly derived for the conventional AUC over the generalized κ - μ fading channels. These results are subsequently employed for deriving closed-form expressions for the case of square law combining. It is shown that the corresponding performance is, as expected, highly dependent upon the severity of fading and is improved substantially as the number of branches increase. In this context, it is also shown that using up to five branches ensures rather acceptable performance even at non-high signal-to-noise ratio values. Furthermore, the offered results have a relatively convenient algebraic representation and can be useful in analyses relating to cognitive radio and RADAR systems.",
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.2015.7249530",
language = "English",
isbn = "9781467364324",
volume = "2015-September",
pages = "7528--7533",
booktitle = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

TY - GEN

T1 - Spectrum sensing in generalized multipath fading conditions using square-law combining

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 - Energy detection constitutes a popular sensing approach thanks to its relatively satisfactory performance at low complexity requirements. Its efficiency can be practically enhanced by employing diversity schemes which are also capable of providing adequate mitigation of multipath fading effects. Based on this, the present work is devoted to the analysis of energy detection based spectrum sensing over generalized multipath fading channels using square law combining. Unlike the traditional evaluation based on the receiver operating characteristic (ROC) curves, the present analysis is based on the area under ROC curve (AUC), which is a particularly accurate performance measure that is used widely in natural sciences and engineering. To this end, novel closed-form expressions are firstly derived for the conventional AUC over the generalized κ - μ fading channels. These results are subsequently employed for deriving closed-form expressions for the case of square law combining. It is shown that the corresponding performance is, as expected, highly dependent upon the severity of fading and is improved substantially as the number of branches increase. In this context, it is also shown that using up to five branches ensures rather acceptable performance even at non-high signal-to-noise ratio values. Furthermore, the offered results have a relatively convenient algebraic representation and can be useful in analyses relating to cognitive radio and RADAR systems.

AB - Energy detection constitutes a popular sensing approach thanks to its relatively satisfactory performance at low complexity requirements. Its efficiency can be practically enhanced by employing diversity schemes which are also capable of providing adequate mitigation of multipath fading effects. Based on this, the present work is devoted to the analysis of energy detection based spectrum sensing over generalized multipath fading channels using square law combining. Unlike the traditional evaluation based on the receiver operating characteristic (ROC) curves, the present analysis is based on the area under ROC curve (AUC), which is a particularly accurate performance measure that is used widely in natural sciences and engineering. To this end, novel closed-form expressions are firstly derived for the conventional AUC over the generalized κ - μ fading channels. These results are subsequently employed for deriving closed-form expressions for the case of square law combining. It is shown that the corresponding performance is, as expected, highly dependent upon the severity of fading and is improved substantially as the number of branches increase. In this context, it is also shown that using up to five branches ensures rather acceptable performance even at non-high signal-to-noise ratio values. Furthermore, the offered results have a relatively convenient algebraic representation and can be useful in analyses relating to cognitive radio and RADAR systems.

UR - http://www.scopus.com/inward/record.url?scp=84953790276&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84953790276&partnerID=8YFLogxK

U2 - 10.1109/ICC.2015.7249530

DO - 10.1109/ICC.2015.7249530

M3 - Conference contribution

AN - SCOPUS:84953790276

SN - 9781467364324

VL - 2015-September

SP - 7528

EP - 7533

BT - IEEE International Conference on Communications

PB - Institute of Electrical and Electronics Engineers Inc.

ER -