Reception of LoRa Signals From LEO Satellites

Colavolpe, Giulio; Foggi, Tommaso; Ricciulli, Michelangelo; Zanettini, Yuri; Mediano-Alameda, Juan-Pedro

doi:10.1109/taes.2019.2909336

Cited by 45 publications

(34 citation statements)

References 10 publications

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“…To this end, the received signals are sampled and multiplied by a train of down-chirp signals. It should be noted that this step is called the de-chirping operation in the literature [21]. Indeed, the multiplication by the de-chirping sequence is performed, not necessarily in a synchronized mode at first since the the beginning instant of each packet is not known in advance by the receiver.…”

Section: B Received Signals At the Gatewaymentioning

confidence: 99%

“…As a consequence, we propose a fine frame synchronization procedure in order to reduce the latter uncertainty and to compensate the frequency offset ∆f s . To same end, authors in [21] use a local correlation with the preamble and the sync word whereas authors in [23] propose to perform a framing of the SFD by increasing the time-based FFT resolution. Here, we suggest an optimized method based also on the SFD framing.…”

Section: A Strongest Signal Synchronization Algorithmsmentioning

confidence: 99%

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An Enhanced Receiver to Decode Superposed LoRa-Like Signals

Temim

Ferré

Laporte-Fauret

et al. 2020

IEEE Internet Things J.

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To cope with the exponential rise of emerging technology, there have been significant developments in intelligent communication systems aimed at low power and longrange wireless Internet of Things (IoT) communication. Among the various number of leading low power wide area network (LPWAN) technologies, Long Range (LoRa) has emerged to be an attractive solution to connect devices in free bands. Operating in unlicensed bands requires connected objects to reduce their energy consumption. To this end, one of the adopted techniques is the random access to the radio channel, which leads to an increase in the probability of packet collisions. In this paper, we propose a new receiver capable to decode several IoT LoRa-Like signals simultaneously received with the same Spreading Factor which leads to destructive collisions. Based on the particular structure of the received signals and the Successive Interference Cancellation (SIC) algorithm, we propose a novel approach to decode superposed LoRa-like signals iteratively. Simulations and real LoRa deployments are presented to validate the efficiency of our receiver.

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Section: B Received Signals At the Gatewaymentioning

confidence: 99%

Section: A Strongest Signal Synchronization Algorithmsmentioning

confidence: 99%

An Enhanced Receiver to Decode Superposed LoRa-Like Signals

Temim

Ferré

Laporte-Fauret

et al. 2020

IEEE Internet Things J.

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“…Different work effort put such as generic sensor framework [133] for IoT, analysis of LoRa for smart metering [134,135], undermine and soils [136][137][138][139], propagation analysis of indoor (Smart Buildings) [140] and campuses [141], industrial use cases [142,143], aerospace [144] and satellite communications [145], verticular smart city applications [146], remote on/off switches [147], multi hop monitoring system [148] and enegery efficient monitoring systems [149], military use cases for troop tracking [150] and public use case for tracking kids [151].…”

Section: Lorawan Applicationsmentioning

confidence: 99%

A Survey on LoRaWAN Architecture, Protocol and Technologies

et al. 2019

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Internet of Things (IoT) expansion led the market to find alternative communication technologies since existing protocols are insufficient in terms of coverage, energy consumption to fit IoT needs. Low Power Wide Area Networks (LPWAN) emerged as an alternative cost-effective communication technology for the IoT market. LoRaWAN is an open LPWAN standard developed by LoRa Alliance and has key features i.e., low energy consumption, long-range communication, builtin security, GPS-free positioning. In this paper, we will introduce LoRaWAN technology, the state of art studies in the literature and provide open opportunities. Several LPWANs emerged on both licensed and unlicensed bands, LoRaWAN, Sigfox and, NB-IoT are widely deployed vital technologies [3].Sigfox is an ultra-narrow band network that is patented and operated by Sigfox. Sigfox occupies 100 Hz and operates at 433MHz, 868MHz and 915MHz frequencies depending on the geographical regions. Technology has strict constraints on the number of packets (140 per day) and the packet size (12 bytes) to be sent. Also, LoRaWAN has similar policies to prevent network congestion allowing channels to be available only %1 duty-cycle for EU 868MHz (See Section 2.4.7). NB-IoT is an ultra-narrow band technology developed by the 3GPP group which can be adopted on GSM and LTE networks. It occupies 200 MHz bandwidth and can reach up to 200 kbps data transmission speed. Compared to LoRaWAN, Sigfox and NB-IoT operated by global network operators which limit deployments of the private networks [4].An overview comparison of the three networks is shown in Table 1. When LPWAN characteristics are considered LoRaWAN becomes a strong candidate for both scientific and industrial uses cases.LoRa referrer to Long Range and a physical layer technology patented by Semtech [5].LoRaWAN is an open protocol proposed by the LoRa Alliance which enables the MAC layer for the network [6].In this study, we will introduce the technological aspects of LoRaWAN and the state of art studies fulfilled about LoRaWAN till today. LoRaWAN protocol was first released in 2015 and had a few minor revisions, the differences in the protocol has been highlighted in the relevant subsection. In the survey, we will introduce LoRaWAN in depth both technological aspects and the use cases of its different areas. We categorized literature studies as in Figure 1. Studies are classified as two main sections; network technology and the applications, each section has own sub-branches. The majority of the work is focused on the coverage tests and applicability of the technology for different fields from large scale smart city applications to personal tracking assets. However, there are still gaps in the literature where researchers can address these problems such as post-disaster communication, decentralized networks, network management, and Adaptive Data Rate.

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“…Based on the NB-IoT standard of 3GPP, Sylvain Cluzel et al 57 designed a kind of IoT for LEO satellite, and proposed a set of detection algorithms for Doppler shift. Similarly, Colavolpe et al 58 mainly studied LoRa waveform characteristics and signal detection for LEO satellite IoT application. Then, Colavolpe et al proposed a new receiver structure that exploits interference cancelation to deal with the Doppler shift.…”

Section: Physical Layer Technologies Of Satellite Iotmentioning

confidence: 99%

A review on non-terrestrial wireless technologies for Smart City Internet of Things

Wang

Miao

et al. 2020

International Journal of Distributed Sensor Networks

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Smart City Internet of Things will become a fundamental infrastructure to support massive machine-type communications between the widely deployed sensors serving big cities. Since there exists many location constraints for the existing terrestrial Internet of Things, the non-terrestrial Internet of Things sheds light on breaking these limits. Therefore, this article conducts a comprehensive survey on non-terrestrial Internet of Things technologies for Smart City, which is an important complement to terrestrial Internet of Things. We first present the application scenarios of Internet of Things and point out where the existing terrestrial Internet of Things cannot work perfectly. Two non-terrestrial Internet of Things technical proposals are then introduced, namely satellite Internet of Things and unmanned aerial vehicle Internet of Things. However, the focuses of these non-terrestrial Internet of Things are distinct, that is, the major problems of satellite and unmanned aerial vehicle Internet of Things are the high dynamic nature of channel and high maneuverability of unmanned aerial vehicles, respectively. The key technologies for satellite and unmanned aerial vehicle Internet of Things are then reviewed separately. Both physical and non-physical layer technologies are surveyed for satellite Internet of Things, and the route planning is mainly investigated for the unmanned aerial vehicle Internet of Things. Finally, we draw a conclusion and give some potential research directions of non-terrestrial Internet of Things.

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Reception of LoRa Signals From LEO Satellites

Cited by 45 publications

References 10 publications

An Enhanced Receiver to Decode Superposed LoRa-Like Signals

An Enhanced Receiver to Decode Superposed LoRa-Like Signals

A Survey on LoRaWAN Architecture, Protocol and Technologies

A review on non-terrestrial wireless technologies for Smart City Internet of Things

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