Abstract

Application of safety-related information interaction among vehicles has always been a research frontier in Vehicular Ad-hoc NETworks (VANETs). These messages require high real-time performance. There is a lot of research dependant on creating optimization model for communication task scheduling or routing protocols to reduce communication delay. In this paper, we analyze characteristics of safety-related information and introduce Interference Alignment (IA) technology in VANETs. To further improve routing efficiency, a data-driven assisted transmission routing and broadcast model framework for Vehicle to Vehicle(V2V) and Vehicle to Infrastructure (V2I) communication are constructed which are the basis for IA. Depending on the proposed model, we propose an optimization problem of minimizing total number of time slots required for safety information sharing in VANETs. Then a clustering algorithm is designed to narrow feasible solution space. Simulation results show that the approach can effectively reduce the number of time slots required and improve link use by 20% percent compared with no IA applied.

Highlights

  • The US Federal Communications Commission (FCC) allocated 75 MHz of wireless spectrum (5.850 GHz to 5.925 GHz) bandwidth to dedicated short range communications (DSRC) for intelligent transportation systems (ITS) service

  • Communication protocols of Vehicular Ad-hoc NETworks (VANETs) are mainly based on IEEE802.11 series protocols, but a large number of performance verification experiments show that competitive protocols cannot meet Quality of communication Service (QoS) requirement of VANETs [1,2]

  • We propose an optimization problem of minimizing total number of time slots required for safety information sharing in VANETs

Read more

Summary

Introduction

The US Federal Communications Commission (FCC) allocated 75 MHz of wireless spectrum (5.850 GHz to 5.925 GHz) bandwidth to dedicated short range communications (DSRC) for intelligent transportation systems (ITS) service. Each vehicle periodically broadcasts traffic state information including its speed, acceleration and GPS on control channel. Depending on SD and the user’s location, CSI between the user and base station could be queried, which could meet time requirement for safety related information in a long enough period [9]. Combined with characteristics of safety related information, an assisted transmission model is constructed to further reduce redundancy transmission and improve link use efficiency. Based on these model, we propose an optimization problem of minimizing total number of time slots required for safety information sharing in VANETs. In addition, a clustering algorithm is designed to narrow feasible solution space

Literature Review
Goals of This Paper and Main Contributions
Organization of this Paper
System Model
Research Scenario in VANETs and the Symbol System
Case Study in VANETs Communication
Model of Broadcast Assisted Transmission Based IA Application in VANETs
V2V and V2I Broadcast Model
Model of Interference Alignment between Vehicles and Base Station
The Model of Data-Driven Assisted Transmission
Optimization Objective
The σ-Clustering Algorithm Based on CSI in VANET
Simulation for Clustring Algorithm
Analysis of IA Simulation
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call