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Estimation Based on Chirp Modulation for Desired and Interference Power and Channel Occupancy Ratio in LoRa.

Osamu Takyu¹, Gaku Kobayashi¹, Koichi Adachi²

¹Department Electrical & Computer Engineering, Shinshu University, Nagano 380-8553, Japan.

Sensors (Basel, Switzerland)

|June 10, 2022

Summary

This study proposes a new method to reduce co-channel interference in Long-Range (LoRa) wireless sensor networks. The scheme improves packet delivery rates by accurately estimating signal power and channel occupancy, enhancing LoRa communication reliability.

Keywords:

LPWAN LoRa chirp modulation co-channel interference

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Area of Science:

Wireless Communication
Signal Processing
Internet of Things (IoT)

Background:

Low-Power Wide-Area Networks (LPWAN) are crucial for wireless sensor networks due to their low power consumption and long-range capabilities.
Long-Range (LoRa) is a key LPWAN standard, but shares frequency bands with other systems, leading to co-channel interference (CCI).
CCI significantly degrades the packet delivery rate in LoRa systems, necessitating effective interference management strategies.

Purpose of the Study:

To develop an estimation scheme for LoRa systems operating under spectrum sharing conditions.
To accurately estimate desired signal power, co-channel interference (CCI) power, and channel occupancy ratio (COR).
To improve the packet delivery rate and estimation accuracy in the presence of interference.

Main Methods:

Proposed an estimation scheme based on chirp modulation specific to LoRa technology.
Developed algorithms to estimate desired signal power, CCI power, and channel occupancy ratio (COR).
Conducted computer simulations to evaluate the performance of the proposed scheme.

Main Results:

The proposed scheme demonstrated improved accuracy in estimating desired signal power, CCI power, and COR.
Simulation results confirmed significant advantages in terms of estimation accuracy compared to existing methods.
The scheme effectively enhanced the packet delivery rate by mitigating the impact of co-channel interference.

Conclusions:

The developed estimation scheme is effective for LoRa systems sharing spectrum with other wireless systems.
Accurate estimation of signal parameters and channel occupancy is vital for reliable LoRa communication.
The proposed method offers a practical solution for improving the performance and reliability of LPWANs.