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Interference Modelling in a Multi-Cell LoRa System
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.ORCID iD: 0000-0003-3717-7793
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.ORCID iD: 0000-0003-0873-7827
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
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2018 (English)In: 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), IEEE, 2018Conference paper, Published paper (Refereed)
Abstract [en]

As the market for low-power wide-area network (LPWAN) technologies expands and the number of connected devices increases, it is becoming important to investigate the performance of LPWAN candidate technologies in dense deployment scenarios. In dense deployments, where the networks usually exhibit the traits of an interference-limited system, a detailed intra- and inter-cell interference analysis of LPWANs is required. In this paper, we model and analyze the performance of uplink communication of a LoRa link in a multi-cell LoRa system. To such end, we use mathematical tools from stochastic geometry and geometric probability to model the spatial distribution of LoRa devices. The model captures the effects of the density of LoRa cells and the allocation of quasi-orthogonal spreading factors (SF) on the success probability of the LoRa transmissions. To account for practical deployment of LoRa gateways, we model the spatial distribution of the gateways with a Poisson point process (PPP) and Matèrn hard-core point process (MHC). Using our analytical formulation, we find the uplink performance in terms of success probability and potential throughput for each of the available SF in LoRa’s physical layer. Our results show that in dense multi-cell LoRa deployment with uplink traffic, the intercell interference noticeably degrades the system performance.

Place, publisher, year, edition, pages
IEEE, 2018.
Keywords [en]
stochastic geometry, interference modelling, LoRa
National Category
Communication Systems Computer Systems Telecommunications
Identifiers
URN: urn:nbn:se:miun:diva-34715DOI: 10.1109/WiMOB.2018.8589100ISI: 000459858400010Scopus ID: 2-s2.0-85060784032ISBN: 978-1-5386-6876-4 (electronic)OAI: oai:DiVA.org:miun-34715DiVA, id: diva2:1255553
Conference
The 14th International Conference on Wireless and Mobile Computing, Networking and Communications, Limassol, Cyprus, October 15-17, 2018
Projects
TIMELINESS
Funder
Knowledge FoundationAvailable from: 2018-10-12 Created: 2018-10-12 Last updated: 2019-03-19Bibliographically approved

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Beltramelli, LucaMahmood, AamirGidlund, MikaelÖsterberg, PatrikJennehag, Ulf

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Beltramelli, LucaMahmood, AamirGidlund, MikaelÖsterberg, PatrikJennehag, Ulf
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Citation style
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