On Spectrum Sensing for TV White Space in China

Kocks, Christian; Vießmann, Alexander; Jung, Peter; Chen, Lei; Qiu, Jing; Hu, Rose Qingyang

doi:10.1155/2012/837495

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…The existing work on white space focused on exploiting the white spaces for broadband access [8,19,20,30,43,54,57,59,[61][62][63][64] and spectrum determination through spectrum sensing [9,26,27,33,48] and/or geo-location database approach [16,18,34,37,63]. Alongside, various standards bodies (e.g., IEEE 802.11af, IEEE 802.15.4m, IEEE 802.19.1, IEEE 802.22, IEEE 1900.4a, IEEE 1900.7, and ECMA-392) and industry leaders (e.g., Microsoft and Google) have also targeted the white spaces for unlicensed personal or commercial use [21,28,43,47]. In contrast, SNOW, as a LPWAN, exploits white spaces for highly scalable and wide-area sensor network applications.…”

Section: Related Workmentioning

confidence: 99%

LPWAN in the TV White Spaces: A Practical Implementation and Deployment Experiences

Rahman¹,

Ismail²,

Modekurthy³

et al. 2021

Preprint

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Low-Power Wide-Area Network (LPWAN) is an enabling Internet-of-Things (IoT) technology that supports long-range, low-power, and low-cost connectivity to numerous devices. To avoid the crowd in the limited ISM band (where most LPWANs operate) and cost of licensed band, the recently proposed SNOW (Sensor Network over White Spaces) is a promising LPWAN platform that operates over the TV white spaces. As it is a very recent technology and is still in its infancy, the current SNOW implementation uses the USRP devices as LPWAN nodes, which has high costs (≈ $750 USD per device) and large form-factors, hindering its applicability in practical deployment. In this paper, we implement SNOW using low-cost, low form-factor, low-power, and widely available commercial off-the-shelf (COTS) devices to enable its practical and largescale deployment. Our choice of the COTS device (TI CC13x0: CC1310 or CC1350) consequently brings down the cost and form-factor of a SNOW node by 25x and 10x, respectively. Such implementation of SNOW on the CC13x0 devices, however, faces a number of challenges to enable link reliability and communication range. Our implementation addresses these challenges by handling peak-to-average power ratio problem, channel state information estimation, carrier frequency offset estimation, and near-far power problem. Our deployment in the city of Detroit, Michigan demonstrates that CC13x0-based SNOW can achieve uplink and downlink throughputs of 11.2kbps and 4.8kbps per node, respectively, over a distance of 1km. Also, the overall throughput in the uplink increases linearly with the increase in the number of SNOW nodes.

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Section: Related Workmentioning

confidence: 99%

LPWAN in the TV White Spaces: A Practical Implementation and Deployment Experiences

Rahman¹,

Ismail²,

Modekurthy³

et al. 2021

Preprint

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“…2. A broad review of the general regulatory landscape can be found in [12,35,36], with [12,35] describing the UK, US, and worldwide rules and developments, while [36] gives a brief overview of the various Chinese TV regulation issues.…”

Section: Regulations and Standardisationsmentioning

confidence: 99%

TV white space and its applications in future wireless networks and communications: a survey

et al. 2018

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“…The appearance of secondary users may cause significant interference in the TVWS; therefore an advanced spectrum sensing technique is essential. A study about this emerging technology [39] discusses that the sensing threshold is −112.8 dBm for 8 MHz wide channels, showing that high quality sensing technique is inevitable in a real CR application.…”

Section: Mobile Sensing Of the Dvb-t Spectrummentioning

confidence: 99%

A Survey of the DVB-T Spectrum: Opportunities for Cognitive Mobile Users

Csurgai-Horváth¹,

Rieger²,

Kertesz³

2016

Mobile Information Systems

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Cognitive radio (CR) systems are designed to utilize the available radio spectrum in an efficient and intelligent manner. Terrestrial Digital Video Broadcasting (DVB-T) frequency bands are one of the future candidates for cognitive radio applications especially because after digital television transition the TV white spaces (TVWS) became available for radio communication. This paper deals with the survey of the DVB-T spectrum; wideband measurements were performed on mobile platform in order to study the variation of the radio signal power in city area aboard a moving vehicle. The measurement environment was a densely built-in region where the proper DVB-T receiving was guaranteed by three TV transmitters, utilizing three central channel frequencies using 610, 746, and 770 MHz. In our paper the methods, the applied antenna, and measurement devices will be presented together with simulated and measured fading statistics. The final result is an estimation of the cognitive DVB-T spectrum utilization opportunity; furthermore a scenario is also proposed for secondary channel usage.

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On Spectrum Sensing for TV White Space in China

Cited by 7 publications

References 4 publications

LPWAN in the TV White Spaces: A Practical Implementation and Deployment Experiences

LPWAN in the TV White Spaces: A Practical Implementation and Deployment Experiences

TV white space and its applications in future wireless networks and communications: a survey

A Survey of the DVB-T Spectrum: Opportunities for Cognitive Mobile Users

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