Journal
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 20, Issue 3, Pages 2019-2033Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2020.3038638
Keywords
Resource management; Interference; Bandwidth; Wireless communication; Uplink; Computer architecture; Servers; LPWAN; Internet of Things; LoRaWAN; spreading factors; resource allocation; adaptive data rate; channel capture; inter-SF interference
Funding
- Regional Project SAWE' [CUP: G78I18000960007-U-GOV2017-NAZ-0118]
- AMORE (Advanced Manufacturing e microelettronica per Ottimizzare le Reti wireless delle cose) Project. KETs, POR FESR Lazio 2014-2020
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LoRaWAN is an attractive network infrastructure and protocol suite for ultra low power Internet of Things devices. This paper proposes an innovative sequential waterfilling strategy for assigning spreading factors to End Devices, showing significant improvement in network capacity and robustness to different operating/load conditions and network topology configurations.
LoRaWAN (Long 1 Range Wide Area Network) is an attractive network infrastructure and protocol suite for ultra low power Internet of Things devices. Even if the technology itself is quite mature and specified, the currently deployed wireless resource allocation strategies are still coarse and based on rough heuristics. This paper proposes an innovative sequential waterfilling strategy for assigning spreading factors to End Devices. Our design relies on three complementary approaches: i) equalize the Time-on-Air of packets transmitted by the system's End Devices in each spreading factor's group; ii) balance the spreading factors across multiple gateways and iii) keep into account the channel capture, which our experimental results show to be very substantial in LoRa. While retaining an extremely simple and scalable implementation, this strategy yields a significant improvement (up to 38%) in the network capacity over the Adaptive Data Rate used by many network operators on the basis of the design suggested by Semtech, and appears to be extremely robust to different operating/load conditions and network topology configurations.
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