# Efficient Decoding of Synchronized Colliding LoRa Signals

## TL;DR

This paper introduces an algorithm for decoding synchronized colliding LoRa signals, reducing retransmissions, improving throughput, and lowering energy consumption and delay in LoRaWAN networks.

## Contribution

It presents a novel decoding algorithm that leverages successive bitmap transmissions to recover colliding signals without retransmission.

## Key findings

- Significantly improved network throughput.
- Reduced energy consumption of end-devices.
- Lowered delay in frame transmission.

## Abstract

In LoRa (Long Range), when a collision occurs in the network, each end-device has to retransmit its colliding frame, which reduces the throughput, and increases the energy consumption of the end-devices and the delay of the frames. In this paper, we propose an algorithm to decode colliding synchronized LoRa signals and thus improve the overall performance of the network. Indeed, we use successive transmissions of bitmaps by the end-devices to determine the correct symbols of each colliding frame, instead of retransmitting the whole frames. Simulation results show that our algorithm is able to significantly improve the overall throughput of LoRaWAN, and to decrease the energy consumption and the delay of the transmitters.