GithubHelp home page GithubHelp logo

msepulcre / c-v2x-mode-3 Goto Github PK

View Code? Open in Web Editor NEW
8.0 2.0 3.0 31 KB

Analytical performance model of LTE-V2X Mode 3 scheduling based on adaptive spatial reuse of radio resources

MATLAB 100.00%
lte-v2x scheduling analytical model centralized mode-3 c-v2x

c-v2x-mode-3's Introduction

Analytical performance model of LTE-V2X Mode 3 scheduling based on adaptive spatial reuse of radio resources

This code implements in Matlab the analytical models of the communication performance of C-V2X or LTE-V Mode 3 described in the following paper:

Daniel Sempere-García, Miguel Sepulcre and Javier Gozalvez, "LTE-V2X Mode 3 scheduling based on adaptive spatial reuse of radio resources", Ad Hoc Networks, Available online 27 October 2020. DOI: 10.1016/j.adhoc.2020.102351

In order to comply with our sponsor guidelines, we would appreciate if any publication using this code references the above-mentioned publication.

This model quantifies the PDR (Packet Delivery Ratio) that could be achieved with our proposed scheme as a function of the distance between the transmitter and the receiver. In order to model the PDR, the following four mutually exclusive errors present in C-V2X are quantified:

  1. Errors due to half-duplex transmissions (HD)
  2. Errors due to a received signal power below the sensing power threshold (SEN)
  3. Errors due to propagation effects (PRO)
  4. Errors due to packet collisions (COL)

CV2XMode3.m is the main script you have to run to get the PDR curve as a function of the distance for a given set of parameters, and the probability of each of the four transmission errors.

Input parameters (shall be set manually in the beginning of the code):

  • alpha: traffic density in veh/km. Values tested: 120.
  • lambda: pNumber of packets transmitted per second per vehicle. Values tested: 10, 20 and 50.
  • Psen: sensing threshold (dBm). Values tested: -90.5
  • Pt: transmission power in dBm. Values tested: 23.
  • S: number of sub-channels per sub-frame. Values tested: 2 and 4.
  • B: packet size in bytes. Values tested: 190.

Output metrics:

  • PDR: Packet Delivery Ratio for different Tx-Rx distances
  • deltaHD: probability of packet loss due to half-duplex transmissions for different Tx-Rx distances
  • deltaSEN: probability of packet loss due to a received signal power below the sensing power threshold for different Tx-Rx distances
  • deltaPRO: probability of packet loss due to propagation effects for different Tx-Rx distances
  • deltaCOL: probability of packet loss due to packet collisions for different Tx-Rx distances

c-v2x-mode-3's People

Contributors

danielsempere avatar msepulcre avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  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.