Implementation and Performance Evaluation of a Distributed TV White Space Sensing System

Ha-Nguyen TRAN; Yohannes D. ALEMSEGED; Hiroshi HARADA

doi:10.1587/transcom.E97.B.305

Implementation and Performance Evaluation of a Distributed TV White Space Sensing System

Ha-Nguyen TRAN, Yohannes D. ALEMSEGED, Hiroshi HARADA

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Spectrum sensing is one of the methods to identify available white spaces for secondary usage which was specified by the regulators. However, signal quality to be sensed can plunge to a very low signal-to-noise-ratio due to signal propagation and hence readings from individual sensors will be unreliable. Distributed sensing by the cooperation of multiple sensors is one way to cope with this problem because the diversity gain due to the combining effect of data captured at different position will assist in detecting signals that might otherwise not be detected by a single sensor. In effect, the probability of detection can be improved. We have implemented a distributed sensing system to evaluate the performance of different cooperative sensing algorithms. In this paper we describe our implementation and measurement experience which include the system design, specification of the system, measurement method, the issues and solutions. This paper also confirms the performance enhancement offered by distributed sensing algorithms, and describes several ideas for further enhancement of the sensing quality.

Publication: IEICE TRANSACTIONS on Communications Vol.E97-B No.2 pp.305-313

Publication Date: 2014/02/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E97.B.305

Type of Manuscript: Special Section PAPER (Special Section on Technologies for Effective Utilization of Spectrum White Space)

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Ha-Nguyen TRAN, Yohannes D. ALEMSEGED, Hiroshi HARADA, "Implementation and Performance Evaluation of a Distributed TV White Space Sensing System" in IEICE TRANSACTIONS on Communications, vol. E97-B, no. 2, pp. 305-313, February 2014, doi: 10.1587/transcom.E97.B.305.
Abstract: Spectrum sensing is one of the methods to identify available white spaces for secondary usage which was specified by the regulators. However, signal quality to be sensed can plunge to a very low signal-to-noise-ratio due to signal propagation and hence readings from individual sensors will be unreliable. Distributed sensing by the cooperation of multiple sensors is one way to cope with this problem because the diversity gain due to the combining effect of data captured at different position will assist in detecting signals that might otherwise not be detected by a single sensor. In effect, the probability of detection can be improved. We have implemented a distributed sensing system to evaluate the performance of different cooperative sensing algorithms. In this paper we describe our implementation and measurement experience which include the system design, specification of the system, measurement method, the issues and solutions. This paper also confirms the performance enhancement offered by distributed sensing algorithms, and describes several ideas for further enhancement of the sensing quality.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.305/_p

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@ARTICLE{e97-b_2_305,
author={Ha-Nguyen TRAN, Yohannes D. ALEMSEGED, Hiroshi HARADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Implementation and Performance Evaluation of a Distributed TV White Space Sensing System},
year={2014},
volume={E97-B},
number={2},
pages={305-313},
abstract={Spectrum sensing is one of the methods to identify available white spaces for secondary usage which was specified by the regulators. However, signal quality to be sensed can plunge to a very low signal-to-noise-ratio due to signal propagation and hence readings from individual sensors will be unreliable. Distributed sensing by the cooperation of multiple sensors is one way to cope with this problem because the diversity gain due to the combining effect of data captured at different position will assist in detecting signals that might otherwise not be detected by a single sensor. In effect, the probability of detection can be improved. We have implemented a distributed sensing system to evaluate the performance of different cooperative sensing algorithms. In this paper we describe our implementation and measurement experience which include the system design, specification of the system, measurement method, the issues and solutions. This paper also confirms the performance enhancement offered by distributed sensing algorithms, and describes several ideas for further enhancement of the sensing quality.},
keywords={},
doi={10.1587/transcom.E97.B.305},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Implementation and Performance Evaluation of a Distributed TV White Space Sensing System
T2 - IEICE TRANSACTIONS on Communications
SP - 305
EP - 313
AU - Ha-Nguyen TRAN
AU - Yohannes D. ALEMSEGED
AU - Hiroshi HARADA
PY - 2014
DO - 10.1587/transcom.E97.B.305
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2014
AB - Spectrum sensing is one of the methods to identify available white spaces for secondary usage which was specified by the regulators. However, signal quality to be sensed can plunge to a very low signal-to-noise-ratio due to signal propagation and hence readings from individual sensors will be unreliable. Distributed sensing by the cooperation of multiple sensors is one way to cope with this problem because the diversity gain due to the combining effect of data captured at different position will assist in detecting signals that might otherwise not be detected by a single sensor. In effect, the probability of detection can be improved. We have implemented a distributed sensing system to evaluate the performance of different cooperative sensing algorithms. In this paper we describe our implementation and measurement experience which include the system design, specification of the system, measurement method, the issues and solutions. This paper also confirms the performance enhancement offered by distributed sensing algorithms, and describes several ideas for further enhancement of the sensing quality.
ER -