RealSense: Real-time compressive spectrum sensing testbed over TV white space

Xingjian Zhang; Yuran Zhang; Yuan Ma; Yue Gao

doi:10.1109/WoWMoM.2017.7974334

RealSense: Real-time compressive spectrum sensing testbed over TV white space

Xingjian Zhang
, Yuran Zhang
, Yuan Ma
, Yue Gao

Queen Mary University of London

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

7 Scopus citations

Abstract

Nowadays, wideband spectrum sensing, as one of the vital technologies of cognitive radio (CR), has the potential to find more temporarily available frequency bands to meet the growing demands of wireless services. As the vast number of samples are required to be collected and processed, traditional wideband spectrum sensing methods become inefficient and cause large energy consumption. Therefore, many theoretical work focus on applying compressive sensing (CS) into wideband spectrum sensing to alleviate this issue. In this paper, to verify the CS-based spectrum sensing scheme in real-world scenarios, a real-time compressive spectrum sensing testbed is proposed to process the real-time data collected from the TV white space (TVWS) spectrum. The proposed testbed consists of two parts: a senor node, and a real-time signal processing platform based on National Instruments (NI) LabVIEW software to process the spectral data and control the sensor.

Original language	English
Title of host publication	18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538627228
DOIs	https://doi.org/10.1109/WoWMoM.2017.7974334
State	Published - 10 Jul 2017
Externally published	Yes
Event	18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Macau, China Duration: 12 Jun 2017 → 15 Jun 2017

Publication series

Name	18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference

Conference

Conference	18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017
Country/Territory	China
City	Macau
Period	12/06/17 → 15/06/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Cognitive Radio
Compressive Spectrum Sensing
TV white space

Access to Document

10.1109/WoWMoM.2017.7974334

Cite this

Zhang, X., Zhang, Y., Ma, Y., & Gao, Y. (2017). RealSense: Real-time compressive spectrum sensing testbed over TV white space. In 18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference Article 7974334 (18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WoWMoM.2017.7974334

Zhang, Xingjian ; Zhang, Yuran ; Ma, Yuan et al. / RealSense : Real-time compressive spectrum sensing testbed over TV white space. 18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference. Institute of Electrical and Electronics Engineers Inc., 2017. (18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference).

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title = "RealSense: Real-time compressive spectrum sensing testbed over TV white space",

abstract = "Nowadays, wideband spectrum sensing, as one of the vital technologies of cognitive radio (CR), has the potential to find more temporarily available frequency bands to meet the growing demands of wireless services. As the vast number of samples are required to be collected and processed, traditional wideband spectrum sensing methods become inefficient and cause large energy consumption. Therefore, many theoretical work focus on applying compressive sensing (CS) into wideband spectrum sensing to alleviate this issue. In this paper, to verify the CS-based spectrum sensing scheme in real-world scenarios, a real-time compressive spectrum sensing testbed is proposed to process the real-time data collected from the TV white space (TVWS) spectrum. The proposed testbed consists of two parts: a senor node, and a real-time signal processing platform based on National Instruments (NI) LabVIEW software to process the spectral data and control the sensor.",

keywords = "Cognitive Radio, Compressive Spectrum Sensing, TV white space",

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

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 ; Conference date: 12-06-2017 Through 15-06-2017",

year = "2017",

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doi = "10.1109/WoWMoM.2017.7974334",

language = "英语",

series = "18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference",

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Zhang, X, Zhang, Y, Ma, Y & Gao, Y 2017, RealSense: Real-time compressive spectrum sensing testbed over TV white space. in 18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference., 7974334, 18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference, Institute of Electrical and Electronics Engineers Inc., 18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017, Macau, China, 12/06/17. https://doi.org/10.1109/WoWMoM.2017.7974334

RealSense: Real-time compressive spectrum sensing testbed over TV white space. / Zhang, Xingjian; Zhang, Yuran; Ma, Yuan et al.
18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference. Institute of Electrical and Electronics Engineers Inc., 2017. 7974334 (18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference).

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

TY - GEN

T1 - RealSense

T2 - 18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017

AU - Zhang, Xingjian

AU - Zhang, Yuran

AU - Ma, Yuan

AU - Gao, Yue

PY - 2017/7/10

Y1 - 2017/7/10

N2 - Nowadays, wideband spectrum sensing, as one of the vital technologies of cognitive radio (CR), has the potential to find more temporarily available frequency bands to meet the growing demands of wireless services. As the vast number of samples are required to be collected and processed, traditional wideband spectrum sensing methods become inefficient and cause large energy consumption. Therefore, many theoretical work focus on applying compressive sensing (CS) into wideband spectrum sensing to alleviate this issue. In this paper, to verify the CS-based spectrum sensing scheme in real-world scenarios, a real-time compressive spectrum sensing testbed is proposed to process the real-time data collected from the TV white space (TVWS) spectrum. The proposed testbed consists of two parts: a senor node, and a real-time signal processing platform based on National Instruments (NI) LabVIEW software to process the spectral data and control the sensor.

AB - Nowadays, wideband spectrum sensing, as one of the vital technologies of cognitive radio (CR), has the potential to find more temporarily available frequency bands to meet the growing demands of wireless services. As the vast number of samples are required to be collected and processed, traditional wideband spectrum sensing methods become inefficient and cause large energy consumption. Therefore, many theoretical work focus on applying compressive sensing (CS) into wideband spectrum sensing to alleviate this issue. In this paper, to verify the CS-based spectrum sensing scheme in real-world scenarios, a real-time compressive spectrum sensing testbed is proposed to process the real-time data collected from the TV white space (TVWS) spectrum. The proposed testbed consists of two parts: a senor node, and a real-time signal processing platform based on National Instruments (NI) LabVIEW software to process the spectral data and control the sensor.

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ER -

Zhang X, Zhang Y, Ma Y, Gao Y. RealSense: Real-time compressive spectrum sensing testbed over TV white space. In 18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference. Institute of Electrical and Electronics Engineers Inc. 2017. 7974334. (18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference). doi: 10.1109/WoWMoM.2017.7974334

RealSense: Real-time compressive spectrum sensing testbed over TV white space

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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