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
Student thesis: Master Thesis and HD Thesis
- René Brandborg Sørensen
4. term, Wireless Communication Systems, Master (Master Programme)
In this report a traffic model for massive low-rate machine-to-machine communications is presented and used in an evaluation of LTE-MTC and LoRaWAN.
Outage and latency for both LTE-MTC and LoRaWAN are obtained through simulation and a tractable model for LoRaWAN is found through analysis. A transmission scheme in which transmissions occur in parallel by LTE-MTC and LoRAWAN is also analysed as is a scheme in which LoRaWAN is used to form capillary networks within an LTE-MTC cell.
LTE-MTC is found to provide a high capacity, low latency network capable of handling a high device density while LoRaWAN is found to provide a lower capacity, in general higher latencies and accommodate only low device densities. A trade-off must be made between cost and QoS requirements at the device-side to chose technology.
Outage and latency for both LTE-MTC and LoRaWAN are obtained through simulation and a tractable model for LoRaWAN is found through analysis. A transmission scheme in which transmissions occur in parallel by LTE-MTC and LoRAWAN is also analysed as is a scheme in which LoRaWAN is used to form capillary networks within an LTE-MTC cell.
LTE-MTC is found to provide a high capacity, low latency network capable of handling a high device density while LoRaWAN is found to provide a lower capacity, in general higher latencies and accommodate only low device densities. A trade-off must be made between cost and QoS requirements at the device-side to chose technology.
Language | English |
---|---|
Publication date | 1 Jun 2016 |
Number of pages | 62 |
Keywords | M2M, IoT, LoRa, LTE, LTE-M, Traffic model, LoRaWAN, LPWAN, LTE-A, RANs, Simulation, Architecture, Networks, Radio, Wireless |
---|