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

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...

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Main Authors: Guido Alvarez, Juan A. Fraire, Khaled Abdelfadeel Hassan, Sandra Cespedes, Dirk Pesch
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9825690/
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author Guido Alvarez
Juan A. Fraire
Khaled Abdelfadeel Hassan
Sandra Cespedes
Dirk Pesch
author_facet Guido Alvarez
Juan A. Fraire
Khaled Abdelfadeel Hassan
Sandra Cespedes
Dirk Pesch
author_sort Guido Alvarez
collection DOAJ
description 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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spelling doaj.art-c102c76981914b78a00edf7da467f3662022-12-22T03:01:24ZengIEEEIEEE Access2169-35362022-01-0110726877270110.1109/ACCESS.2022.31896479825690Uplink Transmission Policies for LoRa-Based Direct-to-Satellite IoTGuido Alvarez0https://orcid.org/0000-0002-2542-5414Juan A. Fraire1https://orcid.org/0000-0001-9816-6989Khaled Abdelfadeel Hassan2Sandra Cespedes3https://orcid.org/0000-0003-1686-2644Dirk Pesch4https://orcid.org/0000-0001-9706-5705Argentinian Space Agency (CONAE), Córdoba, ArgentinaINSA Lyon, National Institute for Research in Digital Science and Technology (Inria), Université de Lyon, Lyon, CITI, FranceDanalto, Dublin 2, IrelandDepartment of Computer Science and Software Engineering, Concordia University, Montreal, QC, CanadaSchool of Computer Science and IT, University College Cork, Cork 21, IrelandDirect-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.https://ieeexplore.ieee.org/document/9825690/Medium access controlLoRaLR-FHSSLoRaWANdirect-to-satellite IoT
spellingShingle Guido Alvarez
Juan A. Fraire
Khaled Abdelfadeel Hassan
Sandra Cespedes
Dirk Pesch
Uplink Transmission Policies for LoRa-Based Direct-to-Satellite IoT
IEEE Access
Medium access control
LoRa
LR-FHSS
LoRaWAN
direct-to-satellite IoT
title Uplink Transmission Policies for LoRa-Based Direct-to-Satellite IoT
title_full Uplink Transmission Policies for LoRa-Based Direct-to-Satellite IoT
title_fullStr Uplink Transmission Policies for LoRa-Based Direct-to-Satellite IoT
title_full_unstemmed Uplink Transmission Policies for LoRa-Based Direct-to-Satellite IoT
title_short Uplink Transmission Policies for LoRa-Based Direct-to-Satellite IoT
title_sort uplink transmission policies for lora based direct to satellite iot
topic Medium access control
LoRa
LR-FHSS
LoRaWAN
direct-to-satellite IoT
url https://ieeexplore.ieee.org/document/9825690/
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