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Cross-Layer Based Approach to Detect Idle Channels and Allocate Them Efficiently Using Markov Models

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Abstract

Cross-layer based approach is used in cognitive wireless networks for efficient utilization of unused spectrum by quick and correct detection of primary signals. In the current research, Su’s algorithm was modified and the RASH (Random Access by Sequential search and Hash organization) algorithm was proposed for quick detection of idle spectrum. Once the idle spectrum is detected, the Hidden Markov Model (HMM) is used to help the analysis of efficient utilization of the idle spectrum. The simulation results show that the proposed model will be helpful for better utilization of the idle spectrum.

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Acknowledgments

The research work was supported by Air Force Research Laboratory/Clarkson Minority Leaders Program through contract No: FA8650-05-D-1912. The author wishes to express appreciation to Dr. Connie Walton, Dean, College of Arts and Sciences, Grambling State University for her continuous support.

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Authors and Affiliations

  1. Grambling State University, Grambling, LA, 71245, USA

    Y. B. Reddy

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  1. Y. B. Reddy
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Correspondence to Y. B. Reddy .

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Editors and Affiliations

  1. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Tarek Sobh

  2. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Khaled Elleithy

  3. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Ausif Mahmood

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Reddy, Y.B. (2010). Cross-Layer Based Approach to Detect Idle Channels and Allocate Them Efficiently Using Markov Models. In: Sobh, T., Elleithy, K., Mahmood, A. (eds) Novel Algorithms and Techniques in Telecommunications and Networking. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3662-9_2

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  • DOI: https://doi.org/10.1007/978-90-481-3662-9_2

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-3661-2

  • Online ISBN: 978-90-481-3662-9

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