A Distributed Sensing and Caching Database for Cognitive Radio Systems

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

doi:10.1587/transcom.E95.B.217

A Distributed Sensing and Caching Database for Cognitive Radio Systems

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

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This paper presents the efficiency of a sensing database and caching (SDB) for cognitive radio systems. The proposed SDB stores regulatory information from regulatory databases, and contains sensing information by distributed sensing schemes. Preliminary information processing for instance indexing, sorting, or applying some models or algorithms, etc. can be performed for the stored data. Available information and the results of the information processing are provided to cognitive radios in order to determine available spectrum and to facilitate dynamic spectrum access at lower sensing cost but higher sensing quality. The SDB is implemented in local networks, therefore information exchange between SDB and the cognitive radios can be realized at low latency and the amount of signaling traffic to global network can be reduced. This paper analyzes the effect of SDB and the performance evaluation was done in a certain condition. As a result, by deploying SDB a system can achieve up to 20% of reduction of sensing activities and maximum 1.3 times higher sensing quality.

Publication: IEICE TRANSACTIONS on Communications Vol.E95-B No.1 pp.217-225

Publication Date: 2012/01/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E95.B.217

Type of Manuscript: PAPER

Category: Terrestrial Wireless Communication/Broadcasting Technologies

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Ha-Nguyen TRAN, Chen SUN, Yohannes D. ALEMSEGED, Hiroshi HARADA, "A Distributed Sensing and Caching Database for Cognitive Radio Systems" in IEICE TRANSACTIONS on Communications, vol. E95-B, no. 1, pp. 217-225, January 2012, doi: 10.1587/transcom.E95.B.217.
Abstract: This paper presents the efficiency of a sensing database and caching (SDB) for cognitive radio systems. The proposed SDB stores regulatory information from regulatory databases, and contains sensing information by distributed sensing schemes. Preliminary information processing for instance indexing, sorting, or applying some models or algorithms, etc. can be performed for the stored data. Available information and the results of the information processing are provided to cognitive radios in order to determine available spectrum and to facilitate dynamic spectrum access at lower sensing cost but higher sensing quality. The SDB is implemented in local networks, therefore information exchange between SDB and the cognitive radios can be realized at low latency and the amount of signaling traffic to global network can be reduced. This paper analyzes the effect of SDB and the performance evaluation was done in a certain condition. As a result, by deploying SDB a system can achieve up to 20% of reduction of sensing activities and maximum 1.3 times higher sensing quality.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.217/_p

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@ARTICLE{e95-b_1_217,
author={Ha-Nguyen TRAN, Chen SUN, Yohannes D. ALEMSEGED, Hiroshi HARADA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Distributed Sensing and Caching Database for Cognitive Radio Systems},
year={2012},
volume={E95-B},
number={1},
pages={217-225},
abstract={This paper presents the efficiency of a sensing database and caching (SDB) for cognitive radio systems. The proposed SDB stores regulatory information from regulatory databases, and contains sensing information by distributed sensing schemes. Preliminary information processing for instance indexing, sorting, or applying some models or algorithms, etc. can be performed for the stored data. Available information and the results of the information processing are provided to cognitive radios in order to determine available spectrum and to facilitate dynamic spectrum access at lower sensing cost but higher sensing quality. The SDB is implemented in local networks, therefore information exchange between SDB and the cognitive radios can be realized at low latency and the amount of signaling traffic to global network can be reduced. This paper analyzes the effect of SDB and the performance evaluation was done in a certain condition. As a result, by deploying SDB a system can achieve up to 20% of reduction of sensing activities and maximum 1.3 times higher sensing quality.},
keywords={},
doi={10.1587/transcom.E95.B.217},
ISSN={1745-1345},
month={January},}

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TY - JOUR
TI - A Distributed Sensing and Caching Database for Cognitive Radio Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 217
EP - 225
AU - Ha-Nguyen TRAN
AU - Chen SUN
AU - Yohannes D. ALEMSEGED
AU - Hiroshi HARADA
PY - 2012
DO - 10.1587/transcom.E95.B.217
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2012
AB - This paper presents the efficiency of a sensing database and caching (SDB) for cognitive radio systems. The proposed SDB stores regulatory information from regulatory databases, and contains sensing information by distributed sensing schemes. Preliminary information processing for instance indexing, sorting, or applying some models or algorithms, etc. can be performed for the stored data. Available information and the results of the information processing are provided to cognitive radios in order to determine available spectrum and to facilitate dynamic spectrum access at lower sensing cost but higher sensing quality. The SDB is implemented in local networks, therefore information exchange between SDB and the cognitive radios can be realized at low latency and the amount of signaling traffic to global network can be reduced. This paper analyzes the effect of SDB and the performance evaluation was done in a certain condition. As a result, by deploying SDB a system can achieve up to 20% of reduction of sensing activities and maximum 1.3 times higher sensing quality.
ER -