Optimum LoRaWAN Configuration Under Wi-SUN Interference

Abstract

Smart Utility Networks (SUN) rely on the Wireless-SUN (WI-SUN) specification for years. Recently, however, practitioners and researchers have also considered Low-Power Wide-Area Networks (LPWAN) like LORAWAN for such applications. With distinct technologies deployed in the same area and sharing unlicensed bands, one can expect these networks to interfere with one another. This paper builds over a LORAWAN model to optimize network parameters while accounting for the interference from other technologies. Our analytic model accounts for the interference LORAWAN receives from IEEE 802.15.4G networks, which form the bottom layers of WI-SUN systems. We also derive closed-form equations for the expected reliability of LORAWAN in such scenarios. We set the model parameters with data from real measurements of the interplay among the technologies. Finally, we propose two optimization algorithms to determine the best LoRaWAN configuration given a targeted minimum reliability level as a restriction. The first algorithm maximizes communication range given a constraint on the minimum number of users, and the second maximizes the number of users given a minimum communication range. We validate the models and algorithms through numerical analysis and simulations. The proposed methods are useful tools for planning interferencelimited networks with requirements of minimum reliability.

Análise do Efeito da Cooperação em Redes IEEE 802.15.4g sob Interferência LoRaWAN

“…Apesar de existirem diversas tecnologias de comunicação sem fio, a indústria tem apoiado principalmente duas iniciativas: LoRa Alliance e Wi-SUN Alliance, que regulam as especificações do LoRaWAN (Long Range Wide Area Network) e do Wi-SUN (Wireless SUN), respectivamente [4]. O LoRaWAN é uma tecnologia LPWAN que utiliza um esquema de modulação proprietário CSS (Chirp Spread Spectrum), permitindo aumentar a robustez e alcance do sinal com baixo consumo e taxa de transmissão [5].…”

“…A configuração ótima para LoRaWAN sob interferência Wi-SUN é abordada em [4], no qual são propostos dois algoritmos de otimização para determinar a melhor configuração do LoRaWAN atendendo a um nível mínimo de confiabilidade. Esses algoritmos oferecem uma ferramenta para explorar os trade-offs entre a carga da rede e a faixa de cobertura, mostrando uma região viável para configuração da rede LoRaWAN.…”

Performance Analysis of Single-Cell Adaptive Data Rate-Enabled LoRaWAN

“…The model captures the LoRaWAN sensitivity to collisions due to increased network usage, even though their SIR model only considers the dominant interferer. Hoeller et al [3] extend [2] and adapt the SIR model to consider several interference sources. Mahmood et al [4], as well as [2] and [3], use stochastic geometry to build analytic coverage probability models for LoRaWAN and propose a path loss-based method to define network geometry.…”

“…Hoeller et al [3] extend [2] and adapt the SIR model to consider several interference sources. Mahmood et al [4], as well as [2] and [3], use stochastic geometry to build analytic coverage probability models for LoRaWAN and propose a path loss-based method to define network geometry. Reynders et al [5] propose a power and data rate (spreading factor, SF) allocation method based on clustering for the NS-3 simulator.…”

“…We validate our analytic model through Monte Carlo simulations. Following [3], we use our model to plan the network deployment to respect a maximum outage probability. We show that power control considerably reduces interference, increasing network capacity by up to 50% and reducing average transmit power by roughly 25%.…”