Path Loss Model for mmWave Communication

This project provides a path loss model for mmWave transmissions in any use-case scenario
1,4K download
Aggiornato 12 mar 2018

The purpose of this project is to provide a path loss model for mmWave transmissions in a use-case scenario of your choice. Thus, this folder provides a Matlab function and an example of using it.
The "pathLossModel.m" function generates the parameters used in the path loss model, which is based on an equation widely used in research literature - see equation (2) in the paper ("Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications").

The example file "examplePLModel.m" shows how the Matlab function can be used in conjunction with few input files delivered in this package.
*****************************************************************************************
Matlab Function Description:

The function extracts the statistics of the path loss values (provided as inputs), and generates the parameters (path loss exponent and shadowing factor) required for the path loss model we use.

The only input requirement is a ".mat" file that contains the path loss values for the considered use-case scenario. These path loss values can be obtained via measurements using channel sounders and various antennas, or can be estimated with a ray tracer. The data organization in the path loss input files is described in the header portion of the "pathLossModel.m" Matlab function.

The function also plots the path loss values and the curves for the model we use, as soon as it extracts the path loss exponent and the standard deviation of the shadowing factor. A secondary plot shows the distribution of path loss values that represents the mechanism of estimating the shadowing factor value.

***************************************************************************
Example Description:

The "examplePLModel.m" file shows how we can use the "pathLossModel.m" Matlab function by applying it to the two input files that are delivered in this folder, one for an indoor study and one for an outdoor case. These input files contain path loss values obtained with the "Wireless InSite" ray tracer by Remcom.

The "PL model" folder contains 3 path loss files for the indoor scenario and 4 files for the outdoor scenario. The indoor scenario refers to a customizable conference room in which we can remove furniture and electronic equipment; hence, the names “complex," “semicomplex," and “simple." The outdoor Vehicular-to-Infrastructure (V2I) NLOS communications scenario is based on two types of horn antennas and a constantly aligning mechanism between Tx and Rx antenna beams. Simple changes in the code of the "examplePLModel.m" file allows the user to select any of the 3 path loss input files for the indoor scenario and any of the 4 similar files for the outdoor scenario.

The user can also generate his/her own path loss files for the application of his/her choice. These files would be read and processed with the same "examplePLModel.m" file by changing the code to call for the appropriate input file names.

Cita come

Miead Tehrani Moayyed (2024). Path Loss Model for mmWave Communication (https://github.com/NEU-MathWorks-mmWaveProject/Path-Loss-Model), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2016a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Automotive in Help Center e MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release
1.0.0.0

Update Description
Update description
Update the Title

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.