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conference paper

Increasing LoRa Sensitivity and Reliability with an IoT Cloud RAN

Tapparel, Joachim  
•
Burg, Andreas  
Matthews, Michael B.
2023
Conference Record - Asilomar Conference on Signals, Systems and Computers
57 Asilomar Conference on Signals, Systems and Computers

LoRaWAN is one of the most popular low-power wide-area network (LPWAN) technologies. Its network architecture is based on a star-of-stars topology, in which LoRa nodes communicate with gateways that forward payloads to a central server when a packet detection occurs. As the gateway deployment is often not managed by a single entity, their locations across the network can be highly inhomogeneous. To improve the coverage as well as the reliability of LoRaWAN, we propose to use a centralized radio access network (C-RAN) architecture. We introduce an implementation of such an architecture suited for LPWANs which supports popular software-defined radios through interfaces that are compatible with the GNU Radio toolkit. We also show that a centralized processing of baseband signals received by multiple gateways can offer more resilience against fading and allow the utilization of higher datarates for the uplink. Both of these effects reduce the power consumption of LoRa devices which is critical for battery-powered edge nodes.

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Type
conference paper
DOI
10.1109/IEEECONF59524.2023.10476850
Scopus ID

2-s2.0-85190380677

Author(s)
Tapparel, Joachim  

École Polytechnique Fédérale de Lausanne

Burg, Andreas  

École Polytechnique Fédérale de Lausanne

Editors
Matthews, Michael B.
Date Issued

2023

Publisher

IEEE Computer Society

Published in
Conference Record - Asilomar Conference on Signals, Systems and Computers
ISBN of the book

9798350325744

Start page

197

End page

201

Subjects

C-RAN

•

distributed antenna system

•

internet of things (IoT)

•

LoRa

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TCL  
Event nameEvent acronymEvent placeEvent date
57 Asilomar Conference on Signals, Systems and Computers

Pacific Grove, United States

2023-10-29 - 2023-11-01

Available on Infoscience
January 26, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/244955
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