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32100

Reliable Analytical Approach for Multi-taper Spectrum Sensing in Cognitive Radio Networks

Article

Last updated: 22 Jan 2023

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Abstract

Multi-taper detection method (MTM) is a powerful technique in spectrum sensing for Cognitive radio networks. In this paper, reliable and simple analytical expressions for the mean and variance of the Probability Density Function (PDF) of the MTM spectrum detector are derived. Then, closed-form expressions for detection and false alarm probabilities for the MTM spectrum detector have been obtained.  Intensive simulation based work is conducted under AWGN channel conditions using MATALB to confirm and evaluate the proposed theoretical study. The confirmation and the evaluation processes are designated to verify many perspectives such as:  the receiver operating characteristics (ROCs), the detection rate with respect to SNR, and minimum required sample points  to achieve a certain performance. All these perspectives are simulated under setting of multiple Slepian tapers (), sample points  and false-alarm probability (). Also, a comparison with energy detection method is presented. The simulation results confirm that the proposed model is reliable and robust under all settings of the simulation parameters.

DOI

10.21608/pserj.2018.32100

Authors

First Name

Heba Allah

Last Name

Selim

MiddleName

-

Affiliation

Network Engineer at ESI, Cairo, Egypt

Email

h.seleem@eng.psu.edu.eg

City

-

Orcid

-

First Name

Heba

Last Name

Soliman

MiddleName

-

Affiliation

Faculty of Engineering Port Said University Egypt,

Email

hebayms@eng.psu.edu.eg

City

-

Orcid

0000-0001-7054-5047

First Name

Ahmed

Last Name

Dessouki

MiddleName

Ahmed Shaaban

Affiliation

Faculty of Engineering Port Said University Egypt

Email

dessouki2000@yahoo.com

City

-

Orcid

0000-0001-6296-6896

Volume

22

Article Issue

2

Related Issue

5397

Issue Date

2018-09-01

Receive Date

2018-08-01

Publish Date

2018-09-01

Page Start

56

Page End

63

Print ISSN

1110-6603

Online ISSN

2536-9377

Link

https://pserj.journals.ekb.eg/article_32100.html

Detail API

https://pserj.journals.ekb.eg/service?article_code=32100

Order

7

Type

Original Article

Type Code

813

Publication Type

Journal

Publication Title

Port-Said Engineering Research Journal

Publication Link

https://pserj.journals.ekb.eg/

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-

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Article

Created At

22 Jan 2023