Massive Access for Machine-to-Machine Communication in Cellular Networks: Massive Machine-to-Machine Communication in Long Term Evolution and Long Range Wide Area Network
Author
Sørensen, René Brandborg
Term
4. term
Education
Publication year
2016
Submitted on
2016-06-01
Pages
62
Abstract
Denne rapport undersøger kommunikation mellem mange enheder, der kun sender små datamængder (massiv lav-rate machine-to-machine, M2M). Vi opstiller en trafikmodel og bruger den til at evaluere LTE‑MTC (en cellulær standard for maskinkommunikation) og LoRaWAN (et lavenergi, langtrækkende netværk). Gennem simulation beregner vi udfald (mislykkede overførsler) og latens (forsinkelse) for begge teknologier, og vi finder en håndterbar analytisk model for LoRaWAN. Vi analyserer også to ordninger: samtidige transmissioner over både LTE‑MTC og LoRaWAN, samt brug af LoRaWAN til at danne kapillærnetværk – lokale forbindelser – inden for en LTE‑MTC-celle. Resultaterne viser, at LTE‑MTC tilbyder høj kapacitet, lav latens og kan håndtere høj enhedstæthed, mens LoRaWAN har lavere kapacitet, generelt højere latens og kun egner sig til lave enhedstætheder. Valget mellem teknologierne afhænger af enhedens omkostninger og krav til tjenestekvalitet (QoS).
This report studies communication among many devices that send only small amounts of data (massive low-rate machine-to-machine, M2M). We build a traffic model and use it to evaluate LTE‑MTC (a cellular standard for machine communications) and LoRaWAN (a low‑power, wide‑area network). Through simulation, we estimate outage (failed transmissions) and latency (delay) for both, and we derive a tractable analytical model for LoRaWAN. We also analyze two schemes: parallel transmissions over both LTE‑MTC and LoRaWAN, and using LoRaWAN to create capillary networks—local links—within an LTE‑MTC cell. Results show that LTE‑MTC offers higher capacity, lower latency, and supports higher device density, while LoRaWAN has lower capacity, generally higher latency, and suits only low device densities. Choosing between them involves a device-side trade‑off between cost and Quality of Service (QoS) requirements.
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Keywords
M2M ; IoT ; LoRa ; LTE ; LTE-M ; Traffic model ; LoRaWAN ; LPWAN ; LTE-A ; RANs ; Simulation ; Architecture ; Networks ; Radio ; Wireless
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