Distributed spectrum sensing utilizing heterogeneous wireless devices and measurement equipment

Naganawa, Junichi; Kim, Hojun; Saruwatari, Shunsuke; Hisashi, Onaga; Morikawa, Hiroyuki

doi:10.1109/dyspan.2011.5936204

Cited by 17 publications

(11 citation statements)

References 30 publications

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“…[2]). Several previous measurement campaigns conducted in large cities such as Barcelona [12], Chicago [20] and Tokyo [13] have reported similarly low spectrum occupancies between 0 and 15% on the ISM band.…”

Section: Discussionmentioning

confidence: 99%

Reflecting QoS of low-cost multi-provider municipal WiFi on commercial 3.G mobile data and ISM spectrum occupancy

Ojala

Kokkoniemi

Luukkonen

et al. 2012

Proceedings of the 10th ACM International Symposium on Mobility Management and Wireless Access

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We present two measurement campaigns reflecting the end-user QoS of a large municipal WiFi (IEEE 802.11 WLAN) network on the end-user QoS of three commercial 3.5G (HSPA) mobile data networks and on the spectrum occupancy of the 2.4 GHz ISM band. Our study shows that municipal provisioning of public wireless Internet access with IEEE 802.11 WLAN technology to achieve end-user QoS comparable to that of 3.5G mobile data networks is feasible and cost-efficient, despite the poor overall spectrum utilization of the ISM band by the IEEE 802.11 WLAN technology.

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Section: Discussionmentioning

confidence: 99%

Reflecting QoS of low-cost multi-provider municipal WiFi on commercial 3.G mobile data and ISM spectrum occupancy

Ojala

Kokkoniemi

Luukkonen

et al. 2012

Proceedings of the 10th ACM International Symposium on Mobility Management and Wireless Access

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“…This monitoring approach does not scale well and is not able to cover the pervasive deployment of wireless networks as well as the increasing range of spectrum frequencies being used. Recent suggestions to enable wide-scale and real-time spectrum monitoring have therefore been to build a networked and distributed infrastructure using remote spectrum analyzers [1,10,16], or leverage the masses and to crowdsource the measurement stations by trading-off radio device sensitivity with cooperation [15,17]. Our vision in this work is aligned with these ideas of exploiting the crowd for scalable monitoring of the spectrum's actual usage at different frequencies, locations and times.…”

Section: Introductionmentioning

confidence: 95%

A software-defined sensor architecture for large-scale wideband spectrum monitoring

Pfammatter

Giustiniano

Lenders³

2015

Proceedings of the 14th International Conference on Information Processing in Sensor Networks

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Today's spectrum measurements are mainly performed by governmental agencies which drive around using expensive specialized hardware. The idea of crowdsourcing spectrum monitoring has recently gained attention as an alternative way to capture the usage of wide portions of the wireless spectrum at larger geographical and time scales. To support this vision, we develop a flexible software-defined sensor architecture that enables distributed data collection in real-time over the Internet. Our sensor design builds upon low-cost commercial off-the-shelf (COTS) hardware components with a total cost per sensor device below $100. The low-cost nature of our sensor platform makes the sensing approach particularly suitable for large-scale deployments but imposes technical challenges regarding performance and quality. To circumvent the limits of our solution, we have implemented and evaluated different sensing strategies and noise reduction techniques. Our results suggest that our sensor architecture may be useful in application areas such as dynamic spectrum access in cognitive radios, detecting regions with elevated electro-smog, or simply to gain an understanding of the spectrum usage for advanced signal intelligence such as anomaly detection or policy enforcement.

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“…toring approach does not scale well and is not able to cover the pervasive deployment of wireless networks as well as the increasing range of spectrum frequencies being used. Recent suggestions to enable wide-scale and real-time spectrum monitoring have therefore been to build a networked and distributed infrastructure using remote spectrum analyzers [1,2,4], or leverage the masses to crowdsource the measurement stations by trading-off radio device sensitivity with cooperation [3,5].…”

Section: Introductionmentioning

confidence: 99%

A low-cost sensor platform for large-scale wideband spectrum monitoring

Calvo-Palomino

Pfammatter

Giustiniano

et al. 2015

Proceedings of the 14th International Conference on Information Processing in Sensor Networks

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Today's radio frequency (RF) spectrum measurements are mainly performed by governmental agencies which drive around using bulky and expensive specialized hardware. This approach does not scale well, providing us with only a poor situational awareness of the actual RF spectrum usage around us. We have developed a wideband spectrum monitoring sensor for remote operation that builds upon portable and low-cost commercial off-the-shelf (COTS) hardware components with a total cost per sensor device below $100. This results in a stunning cost reduction factor of 50 to 500 comparing to professional equipment. Our sensor platform adopts the softwaredefined radio paradigm and performs all signal processing steps on the CPU and GPU of a low-cost single-board computer. We address the challenges of large frequency errors and long scanning times due to the hardware constraints by proposing new correction and optimization methods, providing a satisfactory level of accuracy in indoor and outdoor environments. Our remote sensing platform is envisioned to be used at larger scale for various applications such as dynamic spectrum access in cognitive radios, detecting regions with elevated electro-smog, or for policy enforcement in the electromagnetic space.

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Distributed spectrum sensing utilizing heterogeneous wireless devices and measurement equipment

Cited by 17 publications

References 30 publications

Reflecting QoS of low-cost multi-provider municipal WiFi on commercial 3.G mobile data and ISM spectrum occupancy

Reflecting QoS of low-cost multi-provider municipal WiFi on commercial 3.G mobile data and ISM spectrum occupancy

A software-defined sensor architecture for large-scale wideband spectrum monitoring

A low-cost sensor platform for large-scale wideband spectrum monitoring

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