ADSD: an automatic distributed spectrum decision method in cognitive radio networks

Yuming Ge; Yi Sun; Shan Lu; Eryk Dutkiewicz

doi:10.1109/ICFIN.2009.5339612

ADSD: an automatic distributed spectrum decision method in cognitive radio networks

Yuming Ge^*, Yi Sun, Shan Lu, Eryk Dutkiewicz

^*Corresponding author for this work

School of Engineering

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

9 Citations (Scopus)

63 Downloads (Pure)

Abstract

With the development of Cognitive Radio networks, in order to fully utilize the scarce spectrum resources, secondary users are capable of exploiting the available spectrum of primary users. However, when there are several spectrum options available, how to select an appropriate one for the secondary user according to the spectrum quality and the QoS requirements of different kinds of applications is a new challenge. In this paper, we propose a new Automatic Distributed Spectrum Decision (ADSD) method to solve this problem. ADSD considers multiple characterization parameters, in particular, the primary users' arrival probability, to estimate the quality of the available spectrum options. A weight self-generation mechanism is included to automatically determine the weights of different parameters, thus avoiding the difficulty and irrationality when relying on the users to specify the weights directly. In addition, in conjunction with the reconfiguration mechanism, ADSD can reduce the rate of spectrum handoffs by reconfiguring the transmission parameters rather than making a new decision for the existing transmission. Simulation results show that without any users' interference, ADSD can automatically select the appropriate spectrum for transmission and significantly improve the Cognitive Radio network performance in terms of throughput and the spectrum handoff rate.

Original language	English
Title of host publication	2009 First International Conference on Future Information Networks
Editors	Hongke Zhang
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	253-258
Number of pages	6
ISBN (Electronic)	9781424451593
ISBN (Print)	9781424451586
DOIs	https://doi.org/10.1109/ICFIN.2009.5339612
Publication status	Published - Nov 2009
Event	2009 1st International Conference on Future Information Networks, ICFIN 2009 - Beijing, China Duration: 14 Oct 2009 → 17 Oct 2009

Other

Other	2009 1st International Conference on Future Information Networks, ICFIN 2009
Country/Territory	China
City	Beijing
Period	14/10/09 → 17/10/09

Bibliographical note

Copyright 2009 IEEE. Reprinted from ICFIN 2009 : 2009 First International Conference on Future Information Networks : October 14-17 2009, Beijing, China. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie Universityâ€™s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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10.1109/ICFIN.2009.5339612

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Cite this

@inproceedings{97d05726111646bc8a1f2a96dfde0ac5,

title = "ADSD: an automatic distributed spectrum decision method in cognitive radio networks",

abstract = "With the development of Cognitive Radio networks, in order to fully utilize the scarce spectrum resources, secondary users are capable of exploiting the available spectrum of primary users. However, when there are several spectrum options available, how to select an appropriate one for the secondary user according to the spectrum quality and the QoS requirements of different kinds of applications is a new challenge. In this paper, we propose a new Automatic Distributed Spectrum Decision (ADSD) method to solve this problem. ADSD considers multiple characterization parameters, in particular, the primary users' arrival probability, to estimate the quality of the available spectrum options. A weight self-generation mechanism is included to automatically determine the weights of different parameters, thus avoiding the difficulty and irrationality when relying on the users to specify the weights directly. In addition, in conjunction with the reconfiguration mechanism, ADSD can reduce the rate of spectrum handoffs by reconfiguring the transmission parameters rather than making a new decision for the existing transmission. Simulation results show that without any users' interference, ADSD can automatically select the appropriate spectrum for transmission and significantly improve the Cognitive Radio network performance in terms of throughput and the spectrum handoff rate.",

author = "Yuming Ge and Yi Sun and Shan Lu and Eryk Dutkiewicz",

note = "Copyright 2009 IEEE. Reprinted from ICFIN 2009 : 2009 First International Conference on Future Information Networks : October 14-17 2009, Beijing, China. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University{\^a}€{\texttrademark}s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.; 2009 1st International Conference on Future Information Networks, ICFIN 2009 ; Conference date: 14-10-2009 Through 17-10-2009",

year = "2009",

month = nov,

doi = "10.1109/ICFIN.2009.5339612",

language = "English",

isbn = "9781424451586",

pages = "253--258",

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booktitle = "2009 First International Conference on Future Information Networks",

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address = "United States",

}

Ge, Y, Sun, Y, Lu, S & Dutkiewicz, E 2009, ADSD: an automatic distributed spectrum decision method in cognitive radio networks. in H Zhang (ed.), 2009 First International Conference on Future Information Networks., 5339612, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 253-258, 2009 1st International Conference on Future Information Networks, ICFIN 2009, Beijing, China, 14/10/09. https://doi.org/10.1109/ICFIN.2009.5339612

ADSD: an automatic distributed spectrum decision method in cognitive radio networks. / Ge, Yuming; Sun, Yi; Lu, Shan et al.
2009 First International Conference on Future Information Networks. ed. / Hongke Zhang. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2009. p. 253-258 5339612.

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

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AU - Dutkiewicz, Eryk

N1 - Copyright 2009 IEEE. Reprinted from ICFIN 2009 : 2009 First International Conference on Future Information Networks : October 14-17 2009, Beijing, China. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie Universityâ€™s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2009/11

Y1 - 2009/11

N2 - With the development of Cognitive Radio networks, in order to fully utilize the scarce spectrum resources, secondary users are capable of exploiting the available spectrum of primary users. However, when there are several spectrum options available, how to select an appropriate one for the secondary user according to the spectrum quality and the QoS requirements of different kinds of applications is a new challenge. In this paper, we propose a new Automatic Distributed Spectrum Decision (ADSD) method to solve this problem. ADSD considers multiple characterization parameters, in particular, the primary users' arrival probability, to estimate the quality of the available spectrum options. A weight self-generation mechanism is included to automatically determine the weights of different parameters, thus avoiding the difficulty and irrationality when relying on the users to specify the weights directly. In addition, in conjunction with the reconfiguration mechanism, ADSD can reduce the rate of spectrum handoffs by reconfiguring the transmission parameters rather than making a new decision for the existing transmission. Simulation results show that without any users' interference, ADSD can automatically select the appropriate spectrum for transmission and significantly improve the Cognitive Radio network performance in terms of throughput and the spectrum handoff rate.

AB - With the development of Cognitive Radio networks, in order to fully utilize the scarce spectrum resources, secondary users are capable of exploiting the available spectrum of primary users. However, when there are several spectrum options available, how to select an appropriate one for the secondary user according to the spectrum quality and the QoS requirements of different kinds of applications is a new challenge. In this paper, we propose a new Automatic Distributed Spectrum Decision (ADSD) method to solve this problem. ADSD considers multiple characterization parameters, in particular, the primary users' arrival probability, to estimate the quality of the available spectrum options. A weight self-generation mechanism is included to automatically determine the weights of different parameters, thus avoiding the difficulty and irrationality when relying on the users to specify the weights directly. In addition, in conjunction with the reconfiguration mechanism, ADSD can reduce the rate of spectrum handoffs by reconfiguring the transmission parameters rather than making a new decision for the existing transmission. Simulation results show that without any users' interference, ADSD can automatically select the appropriate spectrum for transmission and significantly improve the Cognitive Radio network performance in terms of throughput and the spectrum handoff rate.

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M3 - Conference proceeding contribution

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SN - 9781424451586

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BT - 2009 First International Conference on Future Information Networks

A2 - Zhang, Hongke

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CY - Piscataway, NJ

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ER -

ADSD: an automatic distributed spectrum decision method in cognitive radio networks

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