Analysis of Channel Models for LoRa-based Direct-to-Satellite IoT Networks Served by LEO Nanosatellites

Gonzalez, Tomas; Lopez-Salamanca, Julian J.; Montejo‐Sánchez, Samuel; Meza, Cesar A. Azurdia; Céspedes, Sandra

doi:10.1109/iccworkshops50388.2021.9473781

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…A thorough revision of traditional satellite channel models can be found in [35]. A recent comparison of models that best capture the DtS-IoT scenario characteristics is presented in [41], but with no introduction of a new or better channel model. Other studies, such as [42], calculate the received power signal using a free space path loss model.…”

Section: B Channel and Packet Modelsmentioning

confidence: 99%

Uplink Transmission Policies for LoRa-Based Direct-to-Satellite IoT

et al. 2022

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Direct-to-Satellite IoT (DtS-IoT) is a promising approach to deliver data transfer services to IoT devices in remote areas where deploying terrestrial infrastructure is not appealing or feasible. In this context, low-Earth orbit (LEO) satellites can serve as passing-by IoT gateways to which devices can offload buffered data to. However, transmission distances and channel dynamics, combined with highly constrained devices on the ground makes of DtS-IoT a very challenging problem. Here, we present LoRa-based approaches to realize scalable and energy-efficient DtS-IoT. Our study includes the Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) physical layer, currently on the roadmap of future space IoT projects. Specifically, we propose uplink transmission policies that exploit satellite trajectory information. These schemes are framed with a theoretical Mixed Integer Linear Programming (MILP) model providing an upper bound on performance as well as inspiration for scheduled DtS-IoT solutions. Simulation results provide compelling evidence that trajectory based policies can duplicate the amount of IoT nodes, while specific variants can further boost the scalability by 30% without incurring energy penalties. We also quantify that LR-FHSS can improve the deployment scalability by a factor of 75x at the expenses of 30% higher device's power consumption compared to the legacy LoRa modulation.

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Section: B Channel and Packet Modelsmentioning

confidence: 99%

Uplink Transmission Policies for LoRa-Based Direct-to-Satellite IoT

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Meanwhile, both terrestrial infrastructure and mobile users on the ground are relatively considered to be fixed given the very high altitudes of satellites. Given this time-varying topology, ground-to-space channels with either free space optical (FSO) or millimeterwave (mmWave) signals are often line-of-sight (LoS) sensitive [12], so immediate transmissions may incur significant path loss. As opposed to terrestrial communications, opportunistic transmissions are not an effective solution due to the long satellite orbiting period.…”

Section: B the Path From Satellites To Uavsmentioning

confidence: 99%