Implementation and performance evaluation of cellular NB-IoT OTDOA positioning

Salomon, Mauro; Lippuner, Stefan; Korb, Matthias; Huang, Qiuting

doi:10.1109/plans46316.2020.9109877

Cited by 6 publications

(8 citation statements)

References 4 publications

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“…However, a relatively low number of works were published dealing with localization and positioning by means of NB-IoT: in particular, a specific attention was devoted to a novel technique introduced within the LTE framework, called Observed Time Difference of Arrival (OTDoA) [ 25 ]. This algorithm, which is based on the time difference between signals exploiting it for multilateration, was also applied for NB-IoT systems [ 26 , 27 , 28 , 29 ]: while [ 26 , 27 , 28 ] tested the effectiveness of this technique by means of numerical simulations, [ 29 ] performed laboratory measurements showing accuracy errors spanning within the range 50 m ÷ 70 m making the localization relatively feasible even in the circumstances of high noise environments. Other techniques that were applied for position retrieval with NB-IoT systems include Channel State Information (CSI) [ 30 ] and Received Signal Strength (RSS) [ 31 ]: however, CSI is only used for indoor localization, which is a totally different application domain with respect to asset tracking.…”

Section: Related Workmentioning

confidence: 99%

LoPATraN: Low Power Asset Tracking by Means of Narrow Band IoT (NB-IoT) Technology

Parrino

Peruzzi

Pozzebon

2021

Sensors

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The narrowband Internet-of-Things (NB-IoT) communication standard is gaining momentum within the big picture of the Internet-of-Things (IoT) owing to its capabilities of ensuring pervasive and wide coverage while limiting power consumption. Therefore, it turns out to be a valuable enabling technology within a considerable number of applications. Apart from traditional remote monitoring and data acquisition purposes where comparable Low Power Wide Area Network (LPWAN) facilities have ruled for years, NB-IoT can potentially carve out space within specific alcoves in which low latency, low power, high data-rates and ubiquitous coverage are fundamentals requirements. Long term asset tracking definitely falls within such niches, and in particular NB-IoT can become a valuable alternative to be exploited by both replacing the conventional Global Position System (GPS) system, or supporting it. To this end, this paper proposes an innovative tracking system prototype for asset shipping which relies on two enabling technologies: GPS and NB-IoT. While position transmission is always put into effect via NB-IoT, it can be fetched by resorting to both GPS (like a standard tracker) or NB-IoT (thus establishing a GPS-less method). As a result, two localization techniques are arranged: the former one is preciser but energy hungrier, while the latter one is coarser but more low power. Such working principles were successfully tested on the field by means of two road tests in as much itineraries. Tests results are in agreement with the expectations underlying the two working principles since the finer one provides a more accurate tracking. In addition, a consumption analysis was also performed aiming at assessing the prototype lifetime. Finally, tests pursuing the assessment of the tracking error were carried out underling the fact that it strongly depends on the geographic deployment of NB-IoT towers.

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Section: Related Workmentioning

confidence: 99%

LoPATraN: Low Power Asset Tracking by Means of Narrow Band IoT (NB-IoT) Technology

Parrino

Peruzzi

Pozzebon

2021

Sensors

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“…In [27], the authors made a hardware implementation and a laboratory test-bed for IoT positioning with OTDOA. In indoor case, the authors obtained a error equal to 65.5 m with -116 dBm Rx Power.…”

Section: Iot Devices Positioningmentioning

confidence: 99%

“…We simulate OTDOA considering the largest deployment and TOA correlation-based [27] with Zadoff-Chu sequences [30]. The location error was calculated considering the distance between the IoT location and hyperbolas intersection.…”

Section: F Iot Devices Positioningmentioning

confidence: 99%

Radio Access Mechanism for Massive Internet of Things Services Over White Spaces

et al. 2021

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This paper proposes a novel radio access mechanism for massive Internet of Things (IoT) services over TV White Spaces (TVWS). The proposal considers TVWS as the suitable frequency bands for facing the limited-spectrum problem for massive IoT services. The radio access mechanism is based on regulatory policies by interacting with TVWS Geolocation Database through the Protocol to Access White-Space (PAWS) and on the use of several Master Devices (MD)s. With this approach, IoT devices require neither geolocation receiver in the deployments, nor different frequency bands for initialization process within PAWS. Regarding the evaluation of the radio access mechanism, we explore different types of deployments and coverage areas. This paper also describes the optimization process to obtain the maximum service area while maintaining an outage probability below a given objective. Moreover, we evaluate the performance of a loaded network with the maximum service area with respect to a reference case with one MD. We can evidence that the average packet loss probability is reduced by 26% when the load is equal to 80% in our proposal.INDEX TERMS IoT, White Spaces, Macro-diversity, Access.

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“…In [70], the authors made a hardware implementation and a laboratory test-bed for IoT positioning with OTDOA. In indoor case, the authors obtained a error equal to 65.5 m with -116 dBm Rx Power.…”

Section: Iot Devices Positioningmentioning

confidence: 99%

“…We simulate OTDOA method considering the largest deployment in Section 5.8.5 and TOA correlation-based [70] with Zadoff-Chu sequences [73]. The location error was calculated considering the distance between the IoT location and hyperbolas intersection as shown in Figure 5.12.…”

Section: Iot Devices Positioning Evaluationmentioning

confidence: 99%

Arquitectura de radio cognitiva para servicios masivos de IoT con acceso dinámico al espectro

Buitrago¹

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En esta investigación se propone una arquitectura cognitiva para servicios masivos de Internet de las cosas sobre Huecos Espectrales en Televisión. La propuesta seleccionó la banda de frecuencia de TVWS como la mejor para enfrentar el reto de escasez de espectro radioeléctrico para servicios masivos de IoT. La arquitectura provee la lista de canales disponibles a dispositivos IoT y tiene restricciones de Calidad de servicio (QoS). Definimos un mecanismo de acceso novedoso que se basa en políticas regulatorias al interactuar con TVWS Geolocation Base de datos (GLDB) a través del Protocolo de acceso a espacios en blanco (PAWS) para proporcionar la lista de canales disponibles para dispositivos IoT. Con respecto a restricciones de QoS, exploramos diferentes tipos de implementaciones y referencias áreas de cobertura considerando un modelo de probabilidad de pérdida de paquetes. Además, la investigación describe el proceso de optimización para obtener la máxima área de servicio mientras se mantiene una probabilidad de interrupción por debajo de un objetivo dado. Además, aplicamos un mecanismo de macro-diversidad para mejorar la probabilidad de pérdida de paquetes con respecto a nuestra propuesta y una topología con un solo dispositivo maestro. Podemos evidenciar que la probabilidad promedio de pérdida de paquetes es reducido en 26% cuando la carga es igual al 80% en nuestra propuesta.

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Implementation and performance evaluation of cellular NB-IoT OTDOA positioning

Cited by 6 publications

References 4 publications

LoPATraN: Low Power Asset Tracking by Means of Narrow Band IoT (NB-IoT) Technology

LoPATraN: Low Power Asset Tracking by Means of Narrow Band IoT (NB-IoT) Technology

Radio Access Mechanism for Massive Internet of Things Services Over White Spaces

Arquitectura de radio cognitiva para servicios masivos de IoT con acceso dinámico al espectro

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