Welcome to the code repository for the paper titled "LoRa Backscatter Communications: Temporal, Spectral, and Error Performance Analysis," published in the IEEE Internet of Things Journal: https://ieeexplore.ieee.org/abstract/document/10104086.
This code repository has four main parts:
- Signal model and decoders of LoRa backscatter
- Power spectrum density (PSD) of LoRa backscatter waveforms
- Symbol error rate (SER) of LoRa backscatter in AWGN channels
- Symbol error rate (SER) of LoRa backscatter in fading channels
- Symbol error rate (SER) of LoRa backscatter in with water filling
- MATLAB: link to MATLAB website
- Julia: link to Julia website
- FastGaussQuadrature
- MAT
If you find the code in this repository useful for your work, we kindly request that you cite the following paper:
@ARTICLE{10104086,
author={Lin, Ganghui and Elzanaty, Ahmed and Alouini, Mohamed-Slim},
journal={IEEE Internet of Things Journal},
title={LoRa Backscatter Communications: Temporal, Spectral, and Error Performance Analysis},
year={2023},
volume={10},
number={18},
pages={16412-16426},
doi={10.1109/JIOT.2023.3268113}}
Proper attribution is essential and greatly appreciated.
Thank you for your interest in our research!