SS5G: Collision Resolution Protocol for Delay and Energy Efficient LoRa Networks

TL;DR

This paper introduces a collision resolution protocol for LoRa networks that improves throughput, energy efficiency, and delay performance by decoding superposed signals and a new MAC protocol, enhancing IoT and 5G applications.

Contribution

It presents a novel decoding algorithm for superposed LoRa signals and a MAC protocol that together significantly improve collision handling in LoRaWAN.

Findings

Outperforms conventional LoRaWAN in throughput

Reduces energy consumption in LoRa networks

Lowers delay in data transmission

Abstract

Future 5G and Internet of Things (IoT) applications will heavily rely on long-range communication technologies such as low-power wireless area networks (LPWANs). In particular, LoRaWAN built on LoRa physical layer is gathering increasing interests, both from academia and industries, for enabling low-cost energy efficient IoT wireless sensor networks for, e.g., environmental monitoring over wide areas. While its communication range may go up to 20 kilometers, the achievable bit rates in LoRaWAN are limited to a few kilobits per second. In the event of collisions, the perceived rate is further reduced due to packet loss and retransmissions. Firstly, to alleviate the harmful impacts of collisions, we propose a decoding algorithm that enables to resolve several superposed LoRa signals. Our proposed method exploits the slight desynchronization of superposed signals and specific features of LoRa physical layer. Secondly, we design a full MAC protocol enabling collision resolution. The simulation results demonstrate that the proposed method outperforms conventional LoRaWAN jointly in terms of system throughput, energy efficiency as well as delay. These results show that our scheme is well suited for 5G and IoT systems, as one of their major goals is to provide the best trade-off among these performance objectives.