Knowledge Management Framework for Robust Cognitive Radio Operation in Non-Stationary Environments

Faouzi Bouali; Oriol Sallent; Jordi Pérez-Romero

doi:10.1109/PIMRC.2013.6666665

Knowledge Management Framework for Robust Cognitive Radio Operation in Non-Stationary Environments

Faouzi Bouali, Oriol Sallent, Jordi Pérez-Romero

Universitat Politècnica de Catalunya

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

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Abstract

To increase cognitive radio operation efficiency, this paper proposes a new knowledge management functional architecture, based on the fittingness factor concept, for supporting spectrum management in non-stationary environments. It includes a reliability tester module that detects, based on hypothesis testing, relevant changes in suitability levels of spectrum resources to support a set of heterogeneous applications. These changes are captured through a set of advanced statistics stored in a knowledge database and exploited by a proactive spectrum management strategy to assist both spectrum selection and spectrum mobility functionalities. The results reveal that the proposed reliability tester is able to disregard the changes due to the intrinsic randomness of the radio environment and to efficiently detect actual changes in interference conditions of spectrum pools. Thanks to this support, the proposed spectrum management strategy exhibits substantial robustness when the environment becomes non-stationary, obtaining performance improvements of up to 75% with respect to the reference case that does not make use of the reliability tester functionality.

Original language	English
Title of host publication	IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
Publisher	IEEE
Pages	3022-3027
Number of pages	6
ISBN (Electronic)	978-1-4673-6235-1
DOIs	https://doi.org/10.1109/PIMRC.2013.6666665
Publication status	Published - 11 Dec 2013
Externally published	Yes
Event	24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) - London, United Kingdom Duration: 8 Sept 2013 → 13 Sept 2013

Conference

Conference	24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
Country/Territory	United Kingdom
City	London
Period	8/09/13 → 13/09/13

Bibliographical note

© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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10.1109/PIMRC.2013.6666665

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Knowledge Management Framework for Robust Cognitive Radio Operation in Non-Stationary Environments. / Bouali, Faouzi; Sallent, Oriol; Pérez-Romero, Jordi.
IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2013. p. 3022-3027.

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

Bouali, F, Sallent, O & Pérez-Romero, J 2013, Knowledge Management Framework for Robust Cognitive Radio Operation in Non-Stationary Environments. in IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, pp. 3022-3027, 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), London, United Kingdom, 8/09/13. https://doi.org/10.1109/PIMRC.2013.6666665

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title = "Knowledge Management Framework for Robust Cognitive Radio Operation in Non-Stationary Environments",

abstract = "To increase cognitive radio operation efficiency, this paper proposes a new knowledge management functional architecture, based on the fittingness factor concept, for supporting spectrum management in non-stationary environments. It includes a reliability tester module that detects, based on hypothesis testing, relevant changes in suitability levels of spectrum resources to support a set of heterogeneous applications. These changes are captured through a set of advanced statistics stored in a knowledge database and exploited by a proactive spectrum management strategy to assist both spectrum selection and spectrum mobility functionalities. The results reveal that the proposed reliability tester is able to disregard the changes due to the intrinsic randomness of the radio environment and to efficiently detect actual changes in interference conditions of spectrum pools. Thanks to this support, the proposed spectrum management strategy exhibits substantial robustness when the environment becomes non-stationary, obtaining performance improvements of up to 75% with respect to the reference case that does not make use of the reliability tester functionality.",

author = "Faouzi Bouali and Oriol Sallent and Jordi P{\'e}rez-Romero",

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N2 - To increase cognitive radio operation efficiency, this paper proposes a new knowledge management functional architecture, based on the fittingness factor concept, for supporting spectrum management in non-stationary environments. It includes a reliability tester module that detects, based on hypothesis testing, relevant changes in suitability levels of spectrum resources to support a set of heterogeneous applications. These changes are captured through a set of advanced statistics stored in a knowledge database and exploited by a proactive spectrum management strategy to assist both spectrum selection and spectrum mobility functionalities. The results reveal that the proposed reliability tester is able to disregard the changes due to the intrinsic randomness of the radio environment and to efficiently detect actual changes in interference conditions of spectrum pools. Thanks to this support, the proposed spectrum management strategy exhibits substantial robustness when the environment becomes non-stationary, obtaining performance improvements of up to 75% with respect to the reference case that does not make use of the reliability tester functionality.

AB - To increase cognitive radio operation efficiency, this paper proposes a new knowledge management functional architecture, based on the fittingness factor concept, for supporting spectrum management in non-stationary environments. It includes a reliability tester module that detects, based on hypothesis testing, relevant changes in suitability levels of spectrum resources to support a set of heterogeneous applications. These changes are captured through a set of advanced statistics stored in a knowledge database and exploited by a proactive spectrum management strategy to assist both spectrum selection and spectrum mobility functionalities. The results reveal that the proposed reliability tester is able to disregard the changes due to the intrinsic randomness of the radio environment and to efficiently detect actual changes in interference conditions of spectrum pools. Thanks to this support, the proposed spectrum management strategy exhibits substantial robustness when the environment becomes non-stationary, obtaining performance improvements of up to 75% with respect to the reference case that does not make use of the reliability tester functionality.

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Knowledge Management Framework for Robust Cognitive Radio Operation in Non-Stationary Environments

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Conference

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