Abstract

Enhancing the Reliability of Dense LoRaWAN Networks With Multi-User Receivers

Highlights

  • I N the past decade, LoRaWAN has emerged as the most popular wireless technology for ultra low-power internet of things (IoT) devices

  • Motivated by the resilience of the bit-interleaved coded modulation (BICM) scheme against time-varying channels, we present a two-user successive interference cancellation (SIC) soft-detector derived from the previously described iterative single-user detector

  • To reduce the level of inter-spreading factor (SF) interference and maintain decent signal-to-interference-plus-noise ratio (SINR) for the most distant nodes in the cell, we reduce the power of SF 7 nodes in steps of 3 dB as they approach closer to the gateway while keeping the 0.1% frame error rates (FERs) constraint

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Summary

INTRODUCTION

I N the past decade, LoRaWAN has emerged as the most popular wireless technology for ultra low-power internet of things (IoT) devices. To achieve long range communications in a stringent energy budget, its physical (PHY) layer, named LoRa, uses a chirp spread spectrum (CSS) modulation combined with Hamming codes in a bit-interleaved coded modulation (BICM) scheme [1], [2]. The potential benefits of leveraging the coding in the BICM scheme against sameSF interference, and the corresponding improvements of the network throughput, have not been investigated so far. Two main approaches have been followed in the literature to overcome same-SF collisions, which are the dominating error events in interference-limited LoRaWAN networks. We briefly summarize these attempts, and we further explain why multi-user LoRa receivers are a promising, and challenging, solution to improve the reliability and scalability of LoRaWAN networks

Approaches to Improve LoRaWAN at the MAC Layer
Multi-User Receivers for Dense LoRaWAN Networks
THE LORA PHYSICAL LAYER
The LoRa Tx Chain
Detection and Decoding for LoRa
Signal Model for Two Interfering Users
A TWO-USER SUCCESSIVE INTERFERENCE CANCELLATION LORA SOFT-DETECTOR
Architecture of the Proposed Detector
Cancellation of the Strongest User
Demodulation of the Weakest User
Performance Analysis
PERFORMANCE EVALUATION OF THE TWO-USER DETECTOR AT THE NETWORK-LEVEL
Simulation Methodology
Description of the Gateway Models
Simulation Parameters
Results
Findings
CONCLUSION
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