A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks

Hongjian Sun; A. Nallanathan; J. Jiang; David Laurenson; Cheng-Xiang Wang; H. Vincent Poor

doi:10.1109/GLOCOM.2011.6134060

A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks

Hongjian Sun, A. Nallanathan, J. Jiang, David Laurenson, Cheng-Xiang Wang, H. Vincent Poor

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

11 Citations (Scopus)

Abstract

A significant challenge of cognitive radio (CR) is to perform wideband spectrum sensing in a fading environment. In this paper, a novel multi-rate sub-Nyquist spectrum detection(MSSD) system is introduced for cooperative wideband spectrum sensing in a distributed CR network. Using only a few sub- Nyquist samples, MSSD is able to sense the wideband spectrum without full spectrum recovery. Specifically, given the low spectral occupancy, sub-Nyquist sampling is performed in each sampling channel and a test statistic is formed by using sub-Nyquist samples from multiple sampling channels. Furthermore, the use of different sub-Nyquist sampling rates is proposed to improve the system detection performance, and the performance of MSSD over both non-fading and Rayleigh fading channels is analyzed. Numerical results show that MSSD can considerably improve the wideband spectrum sensing performance in a fading scenario, with a relatively low implementation complexity and a low computational complexity.

Original language	English
Title of host publication	2011 IEEE Global Telecommunications Conference - GLOBECOM 2011
Publisher	IEEE
ISBN (Electronic)	978-1-4244-9268-8
ISBN (Print)	978-1-4244-9266-4
DOIs	https://doi.org/10.1109/GLOCOM.2011.6134060
Publication status	Published - 19 Jan 2012

Keywords

cognitive radio
cooperative communication
Rayleigh channels
statistical analysis
distributed cognitive radio networks
fading environment
multirate sub-Nyquist spectrum detection system
MSSD system
cooperative wideband spectrum sensing
CR network
test statistic
sub-Nyquist sampling rates
Rayleigh fading channels
computational complexity
Wideband
Sensors
Fading
Signal to noise ratio
Educational institutions
Cognitive radio
Computational complexity

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10.1109/GLOCOM.2011.6134060

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title = "A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks",

abstract = "A significant challenge of cognitive radio (CR) is to perform wideband spectrum sensing in a fading environment. In this paper, a novel multi-rate sub-Nyquist spectrum detection(MSSD) system is introduced for cooperative wideband spectrum sensing in a distributed CR network. Using only a few sub- Nyquist samples, MSSD is able to sense the wideband spectrum without full spectrum recovery. Specifically, given the low spectral occupancy, sub-Nyquist sampling is performed in each sampling channel and a test statistic is formed by using sub-Nyquist samples from multiple sampling channels. Furthermore, the use of different sub-Nyquist sampling rates is proposed to improve the system detection performance, and the performance of MSSD over both non-fading and Rayleigh fading channels is analyzed. Numerical results show that MSSD can considerably improve the wideband spectrum sensing performance in a fading scenario, with a relatively low implementation complexity and a low computational complexity.",

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author = "Hongjian Sun and A. Nallanathan and J. Jiang and David Laurenson and Cheng-Xiang Wang and \{Vincent Poor\}, H.",

year = "2012",

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doi = "10.1109/GLOCOM.2011.6134060",

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T1 - A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks

AU - Sun, Hongjian

AU - Nallanathan, A.

AU - Jiang, J.

AU - Laurenson, David

AU - Wang, Cheng-Xiang

AU - Vincent Poor, H.

PY - 2012/1/19

Y1 - 2012/1/19

N2 - A significant challenge of cognitive radio (CR) is to perform wideband spectrum sensing in a fading environment. In this paper, a novel multi-rate sub-Nyquist spectrum detection(MSSD) system is introduced for cooperative wideband spectrum sensing in a distributed CR network. Using only a few sub- Nyquist samples, MSSD is able to sense the wideband spectrum without full spectrum recovery. Specifically, given the low spectral occupancy, sub-Nyquist sampling is performed in each sampling channel and a test statistic is formed by using sub-Nyquist samples from multiple sampling channels. Furthermore, the use of different sub-Nyquist sampling rates is proposed to improve the system detection performance, and the performance of MSSD over both non-fading and Rayleigh fading channels is analyzed. Numerical results show that MSSD can considerably improve the wideband spectrum sensing performance in a fading scenario, with a relatively low implementation complexity and a low computational complexity.

AB - A significant challenge of cognitive radio (CR) is to perform wideband spectrum sensing in a fading environment. In this paper, a novel multi-rate sub-Nyquist spectrum detection(MSSD) system is introduced for cooperative wideband spectrum sensing in a distributed CR network. Using only a few sub- Nyquist samples, MSSD is able to sense the wideband spectrum without full spectrum recovery. Specifically, given the low spectral occupancy, sub-Nyquist sampling is performed in each sampling channel and a test statistic is formed by using sub-Nyquist samples from multiple sampling channels. Furthermore, the use of different sub-Nyquist sampling rates is proposed to improve the system detection performance, and the performance of MSSD over both non-fading and Rayleigh fading channels is analyzed. Numerical results show that MSSD can considerably improve the wideband spectrum sensing performance in a fading scenario, with a relatively low implementation complexity and a low computational complexity.

KW - cognitive radio

KW - cooperative communication

KW - Rayleigh channels

KW - statistical analysis

KW - distributed cognitive radio networks

KW - fading environment

KW - multirate sub-Nyquist spectrum detection system

KW - MSSD system

KW - cooperative wideband spectrum sensing

KW - CR network

KW - test statistic

KW - sub-Nyquist sampling rates

KW - Rayleigh fading channels

KW - computational complexity

KW - Wideband

KW - Sensors

KW - Fading

KW - Signal to noise ratio

KW - Educational institutions

KW - Cognitive radio

KW - Computational complexity

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U2 - 10.1109/GLOCOM.2011.6134060

DO - 10.1109/GLOCOM.2011.6134060

M3 - Conference contribution

SN - 978-1-4244-9266-4

BT - 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

PB - IEEE

ER -

A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks

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Keywords

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