Imperial College London
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ProfessorJulieMcCann

Faculty of Engineering, Department of Computing

Vice-Dean (Research) for the Faculty of Engineering
 
 
 
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Contact

 

+44 (0)20 7594 8375j.mccann Website

 
 
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Assistant

 

Miss Teresa Ng +44 (0)20 7594 8300

 
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Location

 

260ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Bouazizi:2021:10.1109/GLOBECOM42002.2020.9322640,
author = {Bouazizi, Y and Benkhelifa, F and McCann, J},
doi = {10.1109/GLOBECOM42002.2020.9322640},
pages = {1--7},
publisher = {IEEE},
title = {Spatiotemporal modelling of multi-gateway LoRa networks with imperfect SF orthogonality},
url = {http://dx.doi.org/10.1109/GLOBECOM42002.2020.9322640},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Meticulous modelling and performance analysis ofLow-Power Wide-Area (LPWA) networks are essential for largescale dense Internet-of-Things (IoT) deployments. As Long Range(LoRa) is currently one of the most prominent LPWA tech-nologies, we propose in this paper a stochastic-geometry-basedframework to analyse the uplink transmission performance ofa multi-gateway LoRa network modelled by a Matern ClusterProcess (MCP). The proposed model is first to consider alltogether the multi-cell topology, imperfect spreading factor (SF)orthogonality, random start times, and geometric data arrivalrates. Accounting for all of these factors, we initially develop theSF-dependent collision overlap time function for any start timedistribution. Then, we analyse the Laplace transforms of intra-cluster and inter-cluster interference, and formulate the uplinktransmission success probability. Through simulation results, wehighlight the vulnerability of each SF to interference, illustratethe impact of parameters such as the network density, and thepower allocation scheme on the network performance. Uniquely,our results shed light on when it is better to activate adaptivepower mechanisms, as we show that an SF-based power allocationthat approximates LoRa ADR, negatively impacts nodes nearthe cluster head. Moreover, we show that the interfering SFsdegrading the performance the most depend on the decodingthreshold range and the power allocation scheme.
AU  - Bouazizi,Y
AU  - Benkhelifa,F
AU  - McCann,J
DO  - 10.1109/GLOBECOM42002.2020.9322640
EP  - 7
PB  - IEEE
PY  - 2021///
SP  - 1
TI  - Spatiotemporal modelling of multi-gateway LoRa networks with imperfect SF orthogonality
UR  - http://dx.doi.org/10.1109/GLOBECOM42002.2020.9322640
UR  - https://ieeexplore.ieee.org/document/9322640/authors#authors
UR  - http://hdl.handle.net/10044/1/83082
ER  -
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