Sub-Nyquist cooperative wideband spectrum sensing based on multicoset sampling for TV white spaces

Yuan Ma; Xingjian Zhang; Yue Gao

doi:10.1109/ICCChina.2016.7636824

Sub-Nyquist cooperative wideband spectrum sensing based on multicoset sampling for TV white spaces

Yuan Ma
, Xingjian Zhang
, Yue Gao

Queen Mary University of London

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

4 Scopus citations

Abstract

Cognitive access to TV white space (TVWS) calls for reliable and fast spectrum sensing over a wide bandwidth, which challenges traditional spectrum sensing schemes operating at or above Nyquist rate. Sub-Nyquist sampling has attracted significant interests for wideband spectrum sensing. In this paper, we propose a sub-Nyquist wideband spectrum sensing algorithm that can estimate the spectrum of a multiband signal without sampling at full bandwidth through the use of multiple low-speed analog-to-digital converters based on multicoset sampling. To improve the detection performance under compressed measurements, cooperative spectrum sensing is adopted by fusing the sensing decisions of multiple secondary users (SUs). For energy conservation, we select the minimum number of participating SUs based on their channel conditions to achieve the desired high global detection probability. The mathematical model of the proposed sub-Nyquist wideband sensing algorithm is derived and verified by numerical analysis and tested on real-time TVWS signals.

Original language	English
Title of host publication	2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509021437
DOIs	https://doi.org/10.1109/ICCChina.2016.7636824
State	Published - 21 Oct 2016
Externally published	Yes
Event	2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 - Chengdu, China Duration: 27 Jul 2016 → 29 Jul 2016

Publication series

Name	2016 IEEE/CIC International Conference on Communications in China, ICCC 2016

Conference

Conference	2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
Country/Territory	China
City	Chengdu
Period	27/07/16 → 29/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

TV White Spaces
Wideband spectrum sensing
cooperative spectrum sensing
multicoset sampling
sub-Nyquist sampling

Access to Document

10.1109/ICCChina.2016.7636824

Cite this

Ma, Y., Zhang, X., & Gao, Y. (2016). Sub-Nyquist cooperative wideband spectrum sensing based on multicoset sampling for TV white spaces. In 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 Article 7636824 (2016 IEEE/CIC International Conference on Communications in China, ICCC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCChina.2016.7636824

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title = "Sub-Nyquist cooperative wideband spectrum sensing based on multicoset sampling for TV white spaces",

abstract = "Cognitive access to TV white space (TVWS) calls for reliable and fast spectrum sensing over a wide bandwidth, which challenges traditional spectrum sensing schemes operating at or above Nyquist rate. Sub-Nyquist sampling has attracted significant interests for wideband spectrum sensing. In this paper, we propose a sub-Nyquist wideband spectrum sensing algorithm that can estimate the spectrum of a multiband signal without sampling at full bandwidth through the use of multiple low-speed analog-to-digital converters based on multicoset sampling. To improve the detection performance under compressed measurements, cooperative spectrum sensing is adopted by fusing the sensing decisions of multiple secondary users (SUs). For energy conservation, we select the minimum number of participating SUs based on their channel conditions to achieve the desired high global detection probability. The mathematical model of the proposed sub-Nyquist wideband sensing algorithm is derived and verified by numerical analysis and tested on real-time TVWS signals.",

keywords = "TV White Spaces, Wideband spectrum sensing, cooperative spectrum sensing, multicoset sampling, sub-Nyquist sampling",

author = "Yuan Ma and Xingjian Zhang and Yue Gao",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 ; Conference date: 27-07-2016 Through 29-07-2016",

year = "2016",

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doi = "10.1109/ICCChina.2016.7636824",

language = "英语",

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Ma, Y, Zhang, X & Gao, Y 2016, Sub-Nyquist cooperative wideband spectrum sensing based on multicoset sampling for TV white spaces. in 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016., 7636824, 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016, Chengdu, China, 27/07/16. https://doi.org/10.1109/ICCChina.2016.7636824

Sub-Nyquist cooperative wideband spectrum sensing based on multicoset sampling for TV white spaces. / Ma, Yuan; Zhang, Xingjian; Gao, Yue.
2016 IEEE/CIC International Conference on Communications in China, ICCC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7636824 (2016 IEEE/CIC International Conference on Communications in China, ICCC 2016).

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

TY - GEN

T1 - Sub-Nyquist cooperative wideband spectrum sensing based on multicoset sampling for TV white spaces

AU - Ma, Yuan

AU - Zhang, Xingjian

AU - Gao, Yue

PY - 2016/10/21

Y1 - 2016/10/21

N2 - Cognitive access to TV white space (TVWS) calls for reliable and fast spectrum sensing over a wide bandwidth, which challenges traditional spectrum sensing schemes operating at or above Nyquist rate. Sub-Nyquist sampling has attracted significant interests for wideband spectrum sensing. In this paper, we propose a sub-Nyquist wideband spectrum sensing algorithm that can estimate the spectrum of a multiband signal without sampling at full bandwidth through the use of multiple low-speed analog-to-digital converters based on multicoset sampling. To improve the detection performance under compressed measurements, cooperative spectrum sensing is adopted by fusing the sensing decisions of multiple secondary users (SUs). For energy conservation, we select the minimum number of participating SUs based on their channel conditions to achieve the desired high global detection probability. The mathematical model of the proposed sub-Nyquist wideband sensing algorithm is derived and verified by numerical analysis and tested on real-time TVWS signals.

AB - Cognitive access to TV white space (TVWS) calls for reliable and fast spectrum sensing over a wide bandwidth, which challenges traditional spectrum sensing schemes operating at or above Nyquist rate. Sub-Nyquist sampling has attracted significant interests for wideband spectrum sensing. In this paper, we propose a sub-Nyquist wideband spectrum sensing algorithm that can estimate the spectrum of a multiband signal without sampling at full bandwidth through the use of multiple low-speed analog-to-digital converters based on multicoset sampling. To improve the detection performance under compressed measurements, cooperative spectrum sensing is adopted by fusing the sensing decisions of multiple secondary users (SUs). For energy conservation, we select the minimum number of participating SUs based on their channel conditions to achieve the desired high global detection probability. The mathematical model of the proposed sub-Nyquist wideband sensing algorithm is derived and verified by numerical analysis and tested on real-time TVWS signals.

KW - TV White Spaces

KW - Wideband spectrum sensing

KW - cooperative spectrum sensing

KW - multicoset sampling

KW - sub-Nyquist sampling

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M3 - 会议稿件

AN - SCOPUS:84997816011

T3 - 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016

BT - 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016

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ER -

Ma Y, Zhang X, Gao Y. Sub-Nyquist cooperative wideband spectrum sensing based on multicoset sampling for TV white spaces. In 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7636824. (2016 IEEE/CIC International Conference on Communications in China, ICCC 2016). doi: 10.1109/ICCChina.2016.7636824

Sub-Nyquist cooperative wideband spectrum sensing based on multicoset sampling for TV white spaces

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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