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 | |
| 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 |
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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
Cite this
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
}
TY - GEN
T1 - Spectrum Sensing using Improved Energy Detector under Transceiver Hardware Impairments
AU - Tlebaldiyeva, Leila
AU - Tsiftsis, Theodoros
AU - Maham, Behrouz
PY - 2019/1/11
Y1 - 2019/1/11
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.
KW - false alarm probability
KW - improved energy detector
KW - Nakagami-m fading channel
KW - probability of detection
KW - transceiver hardware impairments
KW - Weibull distribution
KW - α-μ distribution
UR - http://www.scopus.com/inward/record.url?scp=85061930084&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061930084&partnerID=8YFLogxK
U2 - 10.1109/DySPAN.2018.8610458
DO - 10.1109/DySPAN.2018.8610458
M3 - Conference contribution
T3 - 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018
BT - 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -