Throughput and Packet Loss Probability Analysis of Long Range Wide Area Network

Ji-Young Jung,Jung-Ryun Lee

doi:10.3390/app11178091

Abstract

Long Range Wide Area Network (LoRaWAN) is the one of the promising low power wide area network (LPWAN) technologies at present and is expected to grow in the foreseeable future as a tool to provide connectivity among small things. In this paper, we present a simple analytical model to compute the throughput and packet loss probability of Medium Access Control (MAC) for Class-A of LoRaWAN. This analysis results can be used as a reference for deploying the appropriate number of end-devices (EDs) that can be accepted in a gateway (GW) while maximizing network throughput or guaranteeing the packet loss rate of EDs.

Highlights

Since the emergence of the Internet of Things concept, several communication technologies were proposed to provide various IoT services
In Long Range Wide Area Network (LoRaWAN), the packet transmission time is denoted by a time-on-air (ToA), which is the sum of the length of the preamble (Tpb) and the length of the actual packet payload (Tpl) [11], which is given by
We studied the performance evaluation of uplink transmission in LoRaWAN Class-A mode

Summary

Introduction

Since the emergence of the Internet of Things concept, several communication technologies were proposed to provide various IoT services. It is noticed that an ED of Class-A sleeps at all times except uplink and two short downlink receive windows, which provides an ED with the highest energy efficiency among all classes of LoRaWAN. In order to efficiently control the transmission collision of uplink packet originating from numerous uncontrollable EDs in LoRaWAN, it is essential to evaluate the performance of the uplink packet transmission taking into account the characteristics of Class-A of LoRaWAN. In Reference [7], considering that the operation of Class-A in LoRaWAN is based on pure-Aloha approach, the author proposed the algorithm to improve the system capacity by employing slotted-Aloha approach in the standard. Analytical models for performance metrics for uplink packet transmission were provided in Reference [8,9]. We analyze the performance of uplink packet transmission of LoRaWAN Class-A mode using Markov model and evaluate the uplink packet transmission performance in terms of throughput and packet loss probability

LoRaWAN System Model

Markov Chain Model

Performance Evaluation

Conclusions