SlinGovie / LoRa-Backscatter-Performance-Analysis

Code for the paper: LoRa backscatter communications: temperal, spectral, and error performance analysis

Home Page:https://ieeexplore.ieee.org/abstract/document/10104086

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LoRa Backscatter Communications Code Repository

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.

Code Organization

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

Environment

Required packages for Julia:

  • FastGaussQuadrature
  • MAT

Citing the Paper

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!

About

Code for the paper: LoRa backscatter communications: temperal, spectral, and error performance analysis

https://ieeexplore.ieee.org/abstract/document/10104086


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Language:MATLAB 98.9%Language:Julia 1.1%