Analysis of Optimal Weighted Cooperative Spectrum Sensing with Multiple Antenna Elements

Kenta UMEBAYASHI; Hironori TSUCHIYA; Yasuo SUZUKI

doi:10.1587/transcom.E95.B.3261

Analysis of Optimal Weighted Cooperative Spectrum Sensing with Multiple Antenna Elements

Kenta UMEBAYASHI, Hironori TSUCHIYA, Yasuo SUZUKI

Full Text Views

0

Cite this

Summary :

This paper investigates the use of cooperative spectrum sensing (CSS) to detect primary user (PU) signals during spectrum sharing between the PU and the secondary user (SU). In particular, we employ a variant of CSS (which achieves space diversity), called weighted gain combining CSS (W-CSS), which has the potential to achieve increased diversity gain and enhance detection performance. In a typical W-CSS system, the SU needs to obtain the PU signal power information in order to set the proper weight value. However, as it is hard for the SU to ascertain whether the PU is present or absent, this is difficult to obtain. To address this problem, a PU signal power estimation algorithm is introduced. In addition, we also analyze the statistics of the estimator and derive the detection probability of the W-CSS when the PU signal power estimation algorithm is applied. The analysis and related simulation results reveal that the detection probability of the proposed W-CSS under time-variant Rayleigh fading asymptotically approaches the detection probability in an additive white Gaussian noise channel as the number of antennas is increased. This also follows results from our Monte Carlo simulations, showing that multiple antenna elements could suppress the effect of Rayleigh fading. In short, the accuracy of the estimation algorithm is affected by channel variation (especially in the case of fast Rayleigh fading). Hence, to address this problem, we employ multiple antenna elements with a square-law combining energy detector in the W-CSS.

Publication: IEICE TRANSACTIONS on Communications Vol.E95-B No.10 pp.3261-3269

Publication Date: 2012/10/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E95.B.3261

Type of Manuscript: PAPER

Category: Terrestrial Wireless Communication/Broadcasting Technologies

Cite this

Copy

Kenta UMEBAYASHI, Hironori TSUCHIYA, Yasuo SUZUKI, "Analysis of Optimal Weighted Cooperative Spectrum Sensing with Multiple Antenna Elements" in IEICE TRANSACTIONS on Communications, vol. E95-B, no. 10, pp. 3261-3269, October 2012, doi: 10.1587/transcom.E95.B.3261.
Abstract: This paper investigates the use of cooperative spectrum sensing (CSS) to detect primary user (PU) signals during spectrum sharing between the PU and the secondary user (SU). In particular, we employ a variant of CSS (which achieves space diversity), called weighted gain combining CSS (W-CSS), which has the potential to achieve increased diversity gain and enhance detection performance. In a typical W-CSS system, the SU needs to obtain the PU signal power information in order to set the proper weight value. However, as it is hard for the SU to ascertain whether the PU is present or absent, this is difficult to obtain. To address this problem, a PU signal power estimation algorithm is introduced. In addition, we also analyze the statistics of the estimator and derive the detection probability of the W-CSS when the PU signal power estimation algorithm is applied. The analysis and related simulation results reveal that the detection probability of the proposed W-CSS under time-variant Rayleigh fading asymptotically approaches the detection probability in an additive white Gaussian noise channel as the number of antennas is increased. This also follows results from our Monte Carlo simulations, showing that multiple antenna elements could suppress the effect of Rayleigh fading. In short, the accuracy of the estimation algorithm is affected by channel variation (especially in the case of fast Rayleigh fading). Hence, to address this problem, we employ multiple antenna elements with a square-law combining energy detector in the W-CSS.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.3261/_p

Copy

@ARTICLE{e95-b_10_3261,
author={Kenta UMEBAYASHI, Hironori TSUCHIYA, Yasuo SUZUKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Analysis of Optimal Weighted Cooperative Spectrum Sensing with Multiple Antenna Elements},
year={2012},
volume={E95-B},
number={10},
pages={3261-3269},
abstract={This paper investigates the use of cooperative spectrum sensing (CSS) to detect primary user (PU) signals during spectrum sharing between the PU and the secondary user (SU). In particular, we employ a variant of CSS (which achieves space diversity), called weighted gain combining CSS (W-CSS), which has the potential to achieve increased diversity gain and enhance detection performance. In a typical W-CSS system, the SU needs to obtain the PU signal power information in order to set the proper weight value. However, as it is hard for the SU to ascertain whether the PU is present or absent, this is difficult to obtain. To address this problem, a PU signal power estimation algorithm is introduced. In addition, we also analyze the statistics of the estimator and derive the detection probability of the W-CSS when the PU signal power estimation algorithm is applied. The analysis and related simulation results reveal that the detection probability of the proposed W-CSS under time-variant Rayleigh fading asymptotically approaches the detection probability in an additive white Gaussian noise channel as the number of antennas is increased. This also follows results from our Monte Carlo simulations, showing that multiple antenna elements could suppress the effect of Rayleigh fading. In short, the accuracy of the estimation algorithm is affected by channel variation (especially in the case of fast Rayleigh fading). Hence, to address this problem, we employ multiple antenna elements with a square-law combining energy detector in the W-CSS.},
keywords={},
doi={10.1587/transcom.E95.B.3261},
ISSN={1745-1345},
month={October},}

Copy

TY - JOUR
TI - Analysis of Optimal Weighted Cooperative Spectrum Sensing with Multiple Antenna Elements
T2 - IEICE TRANSACTIONS on Communications
SP - 3261
EP - 3269
AU - Kenta UMEBAYASHI
AU - Hironori TSUCHIYA
AU - Yasuo SUZUKI
PY - 2012
DO - 10.1587/transcom.E95.B.3261
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2012
AB - This paper investigates the use of cooperative spectrum sensing (CSS) to detect primary user (PU) signals during spectrum sharing between the PU and the secondary user (SU). In particular, we employ a variant of CSS (which achieves space diversity), called weighted gain combining CSS (W-CSS), which has the potential to achieve increased diversity gain and enhance detection performance. In a typical W-CSS system, the SU needs to obtain the PU signal power information in order to set the proper weight value. However, as it is hard for the SU to ascertain whether the PU is present or absent, this is difficult to obtain. To address this problem, a PU signal power estimation algorithm is introduced. In addition, we also analyze the statistics of the estimator and derive the detection probability of the W-CSS when the PU signal power estimation algorithm is applied. The analysis and related simulation results reveal that the detection probability of the proposed W-CSS under time-variant Rayleigh fading asymptotically approaches the detection probability in an additive white Gaussian noise channel as the number of antennas is increased. This also follows results from our Monte Carlo simulations, showing that multiple antenna elements could suppress the effect of Rayleigh fading. In short, the accuracy of the estimation algorithm is affected by channel variation (especially in the case of fast Rayleigh fading). Hence, to address this problem, we employ multiple antenna elements with a square-law combining energy detector in the W-CSS.
ER -