On low complexity cooperative spectrum sensing for cognitive networks

Gang Xiong; Shalinee Kishore; Aylin Yener

doi:10.1109/CAMSAP.2009.5413316

On low complexity cooperative spectrum sensing for cognitive networks

Gang Xiong, Shalinee Kishore, Aylin Yener

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

8 Scopus citations

Abstract

This paper presents a practical system design approach for cooperative spectrum sensing in cognitive sensor networks. An optimization problem is formulated, where the objective is to choose appropriate number of samples used in local energy calculation and linear combination weights for a global fusion center that together maximize global spectrum detection probability. Depending on the local information available to the fusion center and secondary users, practical system design is proposed in high fusion signal to noise ratio (SNR) regime, which has minimal implementation complexity and negligible performance loss, thus provides an efficient system design alternative in practice. Simulation results are presented to verify the analytical results.

Original language	English (US)
Title of host publication	CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Pages	145-148
Number of pages	4
DOIs	https://doi.org/10.1109/CAMSAP.2009.5413316
State	Published - 2009
Event	2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009 - Aruba, Netherlands Duration: Dec 13 2009 → Dec 16 2009

Publication series

Name	CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Other

Other	2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009
Country/Territory	Netherlands
City	Aruba
Period	12/13/09 → 12/16/09

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Computer Networks and Communications
Software

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10.1109/CAMSAP.2009.5413316

Cite this

Xiong, G., Kishore, S., & Yener, A. (2009). On low complexity cooperative spectrum sensing for cognitive networks. In CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (pp. 145-148). Article 5413316 (CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing). https://doi.org/10.1109/CAMSAP.2009.5413316

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title = "On low complexity cooperative spectrum sensing for cognitive networks",

abstract = "This paper presents a practical system design approach for cooperative spectrum sensing in cognitive sensor networks. An optimization problem is formulated, where the objective is to choose appropriate number of samples used in local energy calculation and linear combination weights for a global fusion center that together maximize global spectrum detection probability. Depending on the local information available to the fusion center and secondary users, practical system design is proposed in high fusion signal to noise ratio (SNR) regime, which has minimal implementation complexity and negligible performance loss, thus provides an efficient system design alternative in practice. Simulation results are presented to verify the analytical results.",

author = "Gang Xiong and Shalinee Kishore and Aylin Yener",

year = "2009",

doi = "10.1109/CAMSAP.2009.5413316",

language = "English (US)",

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series = "CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing",

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booktitle = "CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing",

note = "2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009 ; Conference date: 13-12-2009 Through 16-12-2009",

}

Xiong, G, Kishore, S & Yener, A 2009, On low complexity cooperative spectrum sensing for cognitive networks. in CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing., 5413316, CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, pp. 145-148, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009, Aruba, Netherlands, 12/13/09. https://doi.org/10.1109/CAMSAP.2009.5413316

On low complexity cooperative spectrum sensing for cognitive networks. / Xiong, Gang; Kishore, Shalinee; Yener, Aylin.
CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. 2009. p. 145-148 5413316 (CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing).

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

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AB - This paper presents a practical system design approach for cooperative spectrum sensing in cognitive sensor networks. An optimization problem is formulated, where the objective is to choose appropriate number of samples used in local energy calculation and linear combination weights for a global fusion center that together maximize global spectrum detection probability. Depending on the local information available to the fusion center and secondary users, practical system design is proposed in high fusion signal to noise ratio (SNR) regime, which has minimal implementation complexity and negligible performance loss, thus provides an efficient system design alternative in practice. Simulation results are presented to verify the analytical results.

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BT - CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

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Xiong G, Kishore S, Yener A. On low complexity cooperative spectrum sensing for cognitive networks. In CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. 2009. p. 145-148. 5413316. (CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing). doi: 10.1109/CAMSAP.2009.5413316

On low complexity cooperative spectrum sensing for cognitive networks

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