Liu, Q. and Ball, E.A. (2021) The meta distribution of the SIR for LoRaWANs with power control. IEEE Transactions on Industrial Informatics, 17 (4). pp. 2579-2586. ISSN 1551-3203
Abstract
To reduce energy consumption, a device in a LoRa (Long Range) wide area network (LoRaWAN) needs to adjust its transmit power according to the distance from its tagged Gateway (GW). It is important to measure the performance of the LoRaWANs uplink with power control. In this paper, we focus on the analysis of the coverage probability and the meta distribution of the signal-to-interference ratio (SIR) for a LoRaWAN uplink with fractional power control (FPC). The LoRaWAN uplink is analysed based on the Poisson point process (PPP). We present the possible reductions in transmit power of devices whilst ensuring that the received signal power is greater than the receiver sensitivity. We derive the coverage probability of a LoRaWAN uplink, and show how power control influences it. Finally, utilizing the meta distribution of SIR, the fine-grained information of the LoRaWAN is revealed. The results show that the power control greatly increases the successful probability of edge-devices with little effect on the probability of inner-devices if an appropriate FPC coefficient is chosen. This is because the LoRa signal can be demodulated at a very low required SIR threshold.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | LoRaWAN; Poisson point process; Power control; Uplink; Meta distribution |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Jun 2020 15:09 |
Last Modified: | 02 Nov 2021 17:03 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tii.2020.3003474 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162407 |