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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Format: | Article |
Language: | English |
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IEEE
2019-01-01
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Series: | IEEE Access |
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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. |
first_indexed | 2024-12-14T11:45:37Z |
format | Article |
id | doaj.art-72a5b6cb05b04c0bbfe5e312889aa2f7 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-14T11:45:37Z |
publishDate | 2019-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
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 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.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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