Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing

The impact of transceiver hardware impairments on the accuracy of spectrum sensing cannot be ignored in low-cost and high data rate cognitive radio systems. Nevertheless, ideal hardware for spectrum sensing is widely assumed in the technical literature. This paper presents a novel method for evaluat...

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Main Authors: Leila Tlebaldiyeva, Theodoros A. Tsiftsis, Behrouz Maham
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8618434/
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author Leila Tlebaldiyeva
Theodoros A. Tsiftsis
Behrouz Maham
author_facet Leila Tlebaldiyeva
Theodoros A. Tsiftsis
Behrouz Maham
author_sort Leila Tlebaldiyeva
collection DOAJ
description The impact of transceiver hardware impairments on the accuracy of spectrum sensing cannot be ignored in low-cost and high data rate cognitive radio systems. Nevertheless, ideal hardware for spectrum sensing is widely assumed in the technical literature. This paper presents a novel method for evaluating the improved energy detector (IED) statistics using α-μ distribution over additive white Gaussian noise (AWGN) and Nakagami-m fading channel by considering transceiver hardware imperfections. Moreover, the performance of the IED over AWGN channel is highlighted by the area under the receiver operating curve. Furthermore, the average probability of detection is evaluated for both fading and non-fading environments. An asymptotic analysis studies detection probability over fading channels at a low average signal-to-noise-ratio region. Moreover, p-order law combining and p-order law selecting diversity techniques are proposed to increase the performance of the detector. Our simulation results demonstrate that the diversity techniques significantly improve the detector performance.
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spelling doaj.art-72a5b6cb05b04c0bbfe5e312889aa2f72022-12-21T23:02:36ZengIEEEIEEE Access2169-35362019-01-017139271393810.1109/ACCESS.2019.28927148618434Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum SensingLeila Tlebaldiyeva0https://orcid.org/0000-0001-7108-5361Theodoros A. Tsiftsis1https://orcid.org/0000-0002-4856-3932Behrouz Maham2Department of Electrical and Computer Engineering, Nazarbayev University, Astana, KazakhstanSchool of Electrical and Computer Engineering, Jinan University, Zhuhai, ChinaDepartment of Electrical and Computer Engineering, Nazarbayev University, Astana, KazakhstanThe impact of transceiver hardware impairments on the accuracy of spectrum sensing cannot be ignored in low-cost and high data rate cognitive radio systems. Nevertheless, ideal hardware for spectrum sensing is widely assumed in the technical literature. This paper presents a novel method for evaluating the improved energy detector (IED) statistics using &#x03B1;-&#x03BC; distribution over additive white Gaussian noise (AWGN) and Nakagami-m fading channel by considering transceiver hardware imperfections. Moreover, the performance of the IED over AWGN channel is highlighted by the area under the receiver operating curve. Furthermore, the average probability of detection is evaluated for both fading and non-fading environments. An asymptotic analysis studies detection probability over fading channels at a low average signal-to-noise-ratio region. Moreover, p-order law combining and p-order law selecting diversity techniques are proposed to increase the performance of the detector. Our simulation results demonstrate that the diversity techniques significantly improve the detector performance.https://ieeexplore.ieee.org/document/8618434/Area under the ROC curve (AUC)α-μ distributionfalse alarm probabilityimproved energy detectorNakagami-<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">m</italic> fading channelprobability of detection
spellingShingle Leila Tlebaldiyeva
Theodoros A. Tsiftsis
Behrouz Maham
Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing
IEEE Access
Area under the ROC curve (AUC)
α-μ distribution
false alarm probability
improved energy detector
Nakagami-<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">m</italic> fading channel
probability of detection
title Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing
title_full Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing
title_fullStr Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing
title_full_unstemmed Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing
title_short Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing
title_sort performance analysis of improved energy detector with hardware impairments for accurate spectrum sensing
topic Area under the ROC curve (AUC)
α-μ distribution
false alarm probability
improved energy detector
Nakagami-<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">m</italic> fading channel
probability of detection
url https://ieeexplore.ieee.org/document/8618434/
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