Code Monkey home page Code Monkey logo

wilabv2xsim's Introduction

WiLabV2Xsim

We are uploading the simulator...some supporting documents have not yet been updated... For Octave compatible version, please see branch Octave-version

WiLabV2Xsim is a dynamic simulator, written in MATLAB, overhauling LTEV2Vsim (see https://github.com/alessandrobazzi/LTEV2Vsim) to support sidelink 5G-V2X. It is designed for the investigation of resource allocation in networks based on sidelink C-V2X, with focus on the cooperative awareness service, but it also allows to simulate IEEE 802.11p/ITS-G5.

The simulator is shared under the GNU GPLv3. The software has been developed and shared by University of Bologna, CNR, and WiLab/CNIT - Italy.

The first release of this simulator is version 6.1 to remark the continuity with LTEV2Xsim, of which the last shared version was 5.4.

From version 5.4 to version 6.1 the main modification is the addition of 5G-V2X, with NR and all the related settings (including numerology). A general refactoring was performed to generalize the parameters which are common for LTE and 5G, now indicated as CV2X. Minor corrections and improvements were also performed.

NOTICE: The code runs correctly with Matlab versions from 2021b at least. There are problems with version 2016b and earlier. With the versions in between, some minor corrections would be required (we haven't checked all the versions). The Statistics and Machine Learning Toolbox™ is needed for the simulation and generation of 3GPP a-periodic traffic.

The main reference for the simulator is

V. Todisco, S. Bartoletti, C. Campolo, A. Molinaro, A. O. Berthet, andA. Bazzi, “Performance analysis of sidelink 5G-V2X mode 2 through an open-source simulator,” IEEE Access, 2021, open access at https://ieeexplore.ieee.org/abstract/document/9579000

The main references for the previous versions of the simulator are

G. Cecchini, A. Bazzi, B. M. Masini, A. Zanella, “LTEV2Vsim: An LTE-V2V Simulator for the Investigation of Resource Allocation for Cooperative Awareness”, 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS 2017), Naples (Italy), 26-28 June 2017. (Results obtained with version 1.0)

A. Bazzi, G. Cecchini, M. Menarini, B. M. Masini, A. Zanella, “Survey and Perspectives of Vehicular Wi-Fi Versus Sidelink Cellular-V2X in the 5G Era,” invited paper in Future Internet, 29 May 2019, 11(6), 122. DOI: 10.3390/fi11060122 (Results obtained with version 3.5)


List of main current contributors (those to whom you can ask)

Alessandro Bazzi ([email protected])

Stefania Bartoletti ([email protected])

Vittorio Todisco ([email protected], [email protected])

Wu Zhuofei, also called Felix ([email protected])



Also contributing or contributed, in alphabetic order (if you feel you should be in the list, just let us know...we apologize, we are sure we are missing someone)

Claudia Campolo

Giammarco Cecchini

Michele Menarini

Francesco Romeo


wilabv2xsim's People

Contributors

joshsmith1999 avatar v2xgithub avatar wzf-cn avatar vittoriotodisco avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.