Optimal Non-Uniform Deployments of LoRa Networks

TL;DR

This paper investigates how non-uniform deployment strategies of LoRa networks influence coverage, proposing optimal concave deployment patterns and transmission schemes to enhance network performance in realistic scenarios.

Contribution

It introduces a mathematical framework for non-uniform LoRa deployments, identifying optimal concave device distributions and transmission strategies for improved coverage.

Findings

Concave deployments optimize network coverage.

Sub-linear spread of inter-transmission times enhances performance.

Non-uniform deployment strategies outperform uniform ones.

Abstract

LoRa wireless technology is an increasingly prominent solution for massive connectivity and the Internet of Things. Stochastic geometry and numerical analysis of LoRa networks usually consider uniform end-device deployments. Real deployments however will often be non-uniform, for example due to mobility. This letter mathematically investigates how non-uniform deployments affect network coverage and suggest optimal deployment strategies and uplink random access transmission schemes. We find that concave deployments of LoRa end-devices with a sub-linear spread of random access inter-transmission times provide optimal network coverage performance.