Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments

Leila Tlebaldiyeva; Theodoros Tsiftsis; Behrouz Maham

doi:10.1109/DySPAN.2018.8610458

Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments

Leila Tlebaldiyeva, Theodoros Tsiftsis, Behrouz Maham

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

It is recently shown in the literature that impact of transceiver hardware impairments cannot be ignored in a low-cost cognitive radio systems. In this paper, a new method for calculating improved energy detector statistics using α - μ distribution in Gaussian and Nakagami-m fading channels is proposed by considering noises originated from physical transceiver hardware, which in turn increases the accuracy of the detector. Similarly, the average probability of detection is presented for the mentioned systems in fading and non-fading environments. Moreover, p-order law combining and p-order law selecting diversity techniques are proposed to increase the performance of the system. Our simulation results demonstrate that the diversity techniques significantly reduce the effect of hardware impairment noises.

Original language	English
Title of host publication	2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538651919
DOIs	https://doi.org/10.1109/DySPAN.2018.8610458
Publication status	Published - Jan 11 2019
Event	2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018 - Seoul, Korea, Republic of Duration: Oct 22 2018 → Oct 25 2018

Publication series

Name	2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018

Conference

Conference	2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018
Country	Korea, Republic of
City	Seoul
Period	10/22/18 → 10/25/18

Keywords

false alarm probability
improved energy detector
Nakagami-m fading channel
probability of detection
transceiver hardware impairments
Weibull distribution
α-μ distribution

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture

Access to Document

10.1109/DySPAN.2018.8610458

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Tlebaldiyeva, L., Tsiftsis, T., & Maham, B. (2019). Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments. In 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018 [8610458] (2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DySPAN.2018.8610458

Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments. / Tlebaldiyeva, Leila; Tsiftsis, Theodoros; Maham, Behrouz.

2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018. Institute of Electrical and Electronics Engineers Inc., 2019. 8610458 (2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tlebaldiyeva, L, Tsiftsis, T & Maham, B 2019, Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments. in 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018., 8610458, 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018, Seoul, Korea, Republic of, 10/22/18. https://doi.org/10.1109/DySPAN.2018.8610458

Tlebaldiyeva L, Tsiftsis T, Maham B. Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments. In 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018. Institute of Electrical and Electronics Engineers Inc. 2019. 8610458. (2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018). https://doi.org/10.1109/DySPAN.2018.8610458

Tlebaldiyeva, Leila ; Tsiftsis, Theodoros ; Maham, Behrouz. / Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments. 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018. Institute of Electrical and Electronics Engineers Inc., 2019. (2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018).

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title = "Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments",

abstract = "It is recently shown in the literature that impact of transceiver hardware impairments cannot be ignored in a low-cost cognitive radio systems. In this paper, a new method for calculating improved energy detector statistics using α - μ distribution in Gaussian and Nakagami-m fading channels is proposed by considering noises originated from physical transceiver hardware, which in turn increases the accuracy of the detector. Similarly, the average probability of detection is presented for the mentioned systems in fading and non-fading environments. Moreover, p-order law combining and p-order law selecting diversity techniques are proposed to increase the performance of the system. Our simulation results demonstrate that the diversity techniques significantly reduce the effect of hardware impairment noises.",

keywords = "false alarm probability, improved energy detector, Nakagami-m fading channel, probability of detection, transceiver hardware impairments, Weibull distribution, α-μ distribution",

author = "Leila Tlebaldiyeva and Theodoros Tsiftsis and Behrouz Maham",

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N2 - It is recently shown in the literature that impact of transceiver hardware impairments cannot be ignored in a low-cost cognitive radio systems. In this paper, a new method for calculating improved energy detector statistics using α - μ distribution in Gaussian and Nakagami-m fading channels is proposed by considering noises originated from physical transceiver hardware, which in turn increases the accuracy of the detector. Similarly, the average probability of detection is presented for the mentioned systems in fading and non-fading environments. Moreover, p-order law combining and p-order law selecting diversity techniques are proposed to increase the performance of the system. Our simulation results demonstrate that the diversity techniques significantly reduce the effect of hardware impairment noises.

AB - It is recently shown in the literature that impact of transceiver hardware impairments cannot be ignored in a low-cost cognitive radio systems. In this paper, a new method for calculating improved energy detector statistics using α - μ distribution in Gaussian and Nakagami-m fading channels is proposed by considering noises originated from physical transceiver hardware, which in turn increases the accuracy of the detector. Similarly, the average probability of detection is presented for the mentioned systems in fading and non-fading environments. Moreover, p-order law combining and p-order law selecting diversity techniques are proposed to increase the performance of the system. Our simulation results demonstrate that the diversity techniques significantly reduce the effect of hardware impairment noises.

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Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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