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Distributed channel assignment in cognitive radio networks

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Seyed A. (Reza) ZekavatAuthors Info & Claims

IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

Pages 989 - 993

https://doi.org/10.1145/1582379.1582596

Published: 21 June 2009 Publication History

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Abstract

Considering an ad hoc cognitive radio network, this paper presents channel assignment methods that can be used by a cognitive radio node to select a channel for communication. The proposed channel assignment methods aim to maximize spectral efficiency, minimize transmit power, or maximize data rate. When a number of available channels are detected, based on the proposed methods, a cognitive radio node can decide a suitable channel to use. These methods are executed distributively in cognitive radio nodes without using central controllers. This reduces the complexity of spectrum sharing in cognitive radio networks.

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Cited By

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Ghaderibaneh MZhan CGupta H(2024)DeepAlloc: Deep Learning Approach to Spectrum Allocation in Shared Spectrum SystemsIEEE Access10.1109/ACCESS.2024.335203412(8432-8448)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3352034
Goyal KPatra M(2021)Distributed Channel Assignment in Cognitive-Radio Enabled Internet of VehiclesIntelligent Systems10.1007/978-981-33-6081-5_19(217-227)Online publication date: 20-Apr-2021
https://doi.org/10.1007/978-981-33-6081-5_19
Gomathi TPoonguzhali S(2020)Implementation of Branch and Bound Method for Maximizing Network Capacity of Cognitive Radio NetworksSoft Computing Techniques and Applications10.1007/978-981-15-7394-1_59(651-657)Online publication date: 28-Nov-2020
https://doi.org/10.1007/978-981-15-7394-1_59
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Index Terms

Distributed channel assignment in cognitive radio networks
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

June 2009

1561 pages

ISBN:9781605585697

DOI:10.1145/1582379

General Chairs:
Mohsen Guizani
Kuwait Univ. and Western Michigan University
,
Peter Mueller
IBM, Switzerland
,
Klaus-Peter Fähnrich
University of Leipzig, Germany
,
Program Chairs:
Athanasios (Thanos) Vasilakos
University of Western Macedonia, Greece
,
Yan Zhang
Simula Research Laboratory, Norway
,
Jun Zhang
University of Ottawa, Canada

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 21 June 2009

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IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference

June 21 - 24, 2009

Leipzig, Germany

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Cited By

View all

Ghaderibaneh MZhan CGupta H(2024)DeepAlloc: Deep Learning Approach to Spectrum Allocation in Shared Spectrum SystemsIEEE Access10.1109/ACCESS.2024.335203412(8432-8448)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3352034
Goyal KPatra M(2021)Distributed Channel Assignment in Cognitive-Radio Enabled Internet of VehiclesIntelligent Systems10.1007/978-981-33-6081-5_19(217-227)Online publication date: 20-Apr-2021
https://doi.org/10.1007/978-981-33-6081-5_19
Gomathi TPoonguzhali S(2020)Implementation of Branch and Bound Method for Maximizing Network Capacity of Cognitive Radio NetworksSoft Computing Techniques and Applications10.1007/978-981-15-7394-1_59(651-657)Online publication date: 28-Nov-2020
https://doi.org/10.1007/978-981-15-7394-1_59
Diksha Saini P(2017)Agreement-Based Interference-Aware Dynamic Channel Allocation in Cognitive Radio Network (CRN)Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications10.1007/978-981-10-3153-3_8(79-88)Online publication date: 17-Mar-2017
https://doi.org/10.1007/978-981-10-3153-3_8
Goyal PButtar AGoyal M(2016)An efficient spectrum hole utilization for transmission in Cognitive Radio Networks2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN)10.1109/SPIN.2016.7566712(322-327)Online publication date: Feb-2016
https://doi.org/10.1109/SPIN.2016.7566712
Tsiropoulos GDobre OAhmed MBaddour K(2016)Radio Resource Allocation Techniques for Efficient Spectrum Access in Cognitive Radio NetworksIEEE Communications Surveys & Tutorials10.1109/COMST.2014.236279618:1(824-847)Online publication date: Sep-2017
https://doi.org/10.1109/COMST.2014.2362796
Yousefvand MAnsari NKhorsandi S(2015)Maximizing Network Capacity of Cognitive Radio Networks by Capacity-Aware Spectrum AllocationIEEE Transactions on Wireless Communications10.1109/TWC.2015.243169114:9(5058-5067)Online publication date: Sep-2015
https://doi.org/10.1109/TWC.2015.2431691
Pareek HSingh A(2015)Fault Tolerant Spectrum Assignment in Cognitive Radio NetworksProcedia Computer Science10.1016/j.procs.2015.01.03246(1188-1195)Online publication date: 2015
https://doi.org/10.1016/j.procs.2015.01.032
Tragos EZeadally SFragkiadakis ASiris V(2013)Spectrum Assignment in Cognitive Radio Networks: A Comprehensive SurveyIEEE Communications Surveys & Tutorials10.1109/SURV.2012.121112.0004715:3(1108-1135)Online publication date: Nov-2014
https://doi.org/10.1109/SURV.2012.121112.00047
Li FBarabas JMohan ARaskar R(2010)Analysis on errors due to photon noise and quantization process with multiple images2010 44th Annual Conference on Information Sciences and Systems (CISS)10.1109/CISS.2010.5464908(1-6)Online publication date: Mar-2010
https://doi.org/10.1109/CISS.2010.5464908
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Recommendations

Distributed robust channel allocation for clustered cognitive radio-based IoT networks using graph theory

Joint routing and channel assignment using online learning in cognitive radio networks

A review on spectrum allocation in cognitive radio network

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