6533b86efe1ef96bd12cca69

RESEARCH PRODUCT

Capture Aware Sequential Waterfilling for LoraWAN Adaptive Data Rate

Ilenia TinnirelloGiuseppe BianchiFrancesca CuomoDomenico Garlisi

subject

FOS: Computer and information sciencesComputer scienceDistributed computingInternet of ThingsWireless communicationresource allocationServers02 engineering and technologyNetwork topologyspreading factorsinter-SF interferenceComputer Science - Networking and Internet Architecturechannel captureBandwidthServerLPWAN0202 electrical engineering electronic engineering information engineeringWirelessComputer architectureElectrical and Electronic Engineeringinternet of t6hingsNetworking and Internet Architecture (cs.NI)Network packetbusiness.industryApplied MathematicsResource managementinternet of t6hings; LoRaWAN; spreading factors; resource allocation; adaptive data rate; channel capture; inter-SF interference020206 networking & telecommunicationsComputer Science ApplicationsLoRaWANadaptive data rateWide area networkScalabilityHeuristicsbusinessInterferenceUplinkCommunication channel

description

LoRaWAN (Long Range Wide Area Network) is emerging as an attractive network infrastructure 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 (SF) to End-Devices (ED). Our design relies on three complementary approaches: i) equalize the Time-on-Air of the packets transmitted by the system's EDs in each spreading factor's group; ii) balance the spreading factors across multiple access 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 legacy Adaptive Data Rate (ADR), and appears to be extremely robust to different operating/load conditions and network topology configurations.

yearjournalcountryeditionlanguage
2020-01-01
http://arxiv.org/abs/1907.12360