research-article

Robust spectrum sensing for cognitive radio based on statistical tests

Authors:

Klaus MoessnerAuthors Info & Claims

CogART '11: Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management

Article No.: 12, Pages 1 - 6

https://doi.org/10.1145/2093256.2093268

Published: 26 October 2011 Publication History

Abstract

Spectrum sensing, in particular, detecting the presence of incumbent users in licensed spectrum, is one of the pivotal task for cognitive radios (CRs). In this paper, we provide solutions to the spectrum sensing problem by using statistical test theory, and thus derive novel spectrum sensing approaches. We apply the classical Kolmogorov-Smirnov (KS) test to the problem of spectrum sensing under the assumption that the noise probability distribution is known. In practice, the exact noise distribution is unknown, so a sensing method for Gaussian noise with unknown noise power is proposed. Next it is shown that the proposed sensing scheme is asymptotically robust and can be applied to non-Gaussian noise distributions. We compare the performance of sensing algorithms with the well-known Energy Detector (ED) and Anderson-Darling (AD) sensing proposed in recent literature. Our paper shows that proposed sensing methods outperform both ED and AD based sensing especially for the most important case when the received Signal to Noise Ratio (SNR) is low.

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Cited By

Khoshkbarchi AShahriari H(2024)Entropy-Based Trust Management System for Mitigating Malicious Behaviors in Trust Management Systems, Considering Information Ethics TheorySignal and Data Processing10.61186/jsdp.20.4.320:4(3-22)Online publication date: 1-Mar-2024
https://doi.org/10.61186/jsdp.20.4.3

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Robust spectrum sensing for cognitive radio based on statistical tests

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CogART '11: Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management

October 2011

372 pages

ISBN:9781450309127

DOI:10.1145/2093256

Conference Chair:
Simone Frattasi,
Program Chair:
Nicola Marchetti

Copyright © 2011 ACM.

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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Universitat Pompeu Fabra
IEEE
Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
River Publishers: River Publishers
CTTC: Technological Center for Telecommunications of Catalonia
CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2011

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Seventh Framework Programme

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CogART '11

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Technical University of Catalonia Spain
River Publishers
CTTC
CTIF

CogART '11: International Conference on Cognitive Radio and Advanced Spectrum Management

October 26 - 29, 2011

Barcelona, Spain

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Cited By

Khoshkbarchi AShahriari H(2024)Entropy-Based Trust Management System for Mitigating Malicious Behaviors in Trust Management Systems, Considering Information Ethics TheorySignal and Data Processing10.61186/jsdp.20.4.320:4(3-22)Online publication date: 1-Mar-2024
https://doi.org/10.61186/jsdp.20.4.3

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