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Millimeter-wave channel modeling in a VANETs using coding techniques.

Arshee Ahmed1, Haroon Rasheed1, Ali Kashif Bashir2,3

  • 1Department of Electrical Engineering, Bahria University, Karachi, Sindh, Pakistan.

Peerj. Computer Science
|June 22, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a new model for ultra-reliable vehicular communication using millimeter waves and advanced coding techniques. The proposed system significantly improves performance over existing methods, supporting autonomous vehicles and high traffic volumes.

Keywords:
BeamformingBit error rateCodingDoppler effecfPERReed SolomonSpace-time block codeThroughputUltra-reliabilityWireless communication

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Area of Science:

  • Wireless Communication
  • Vehicular Networks
  • Millimeter Wave Technology

Background:

  • Vehicular ad-Hoc Networks (VANETs) require ultra-high reliability for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication.
  • Fading and vehicle mobility pose significant challenges to error-free data transmission in VANETs.
  • Existing models lack comprehensive, tractable solutions for ultra-reliable VANETs utilizing millimeter wave frequencies.

Purpose of the Study:

  • To develop a comprehensive and tractable model for VANETs operating over millimeter waves.
  • To enhance ultra-reliable communication crucial for autonomous vehicular systems.
  • To provide a framework for designing and analyzing VANETs at 60 GHz.

Main Methods:

  • A novel model combining Space-Time-Block-Coding (STBC) with Reed Solomon (RS) coding for VANETs.
  • Derivation of Bit Error Rate (BER) expressions and Reed Solomon coded Doppler expressions.
  • Performance evaluation using Packet Error Rate (PER), Packet Reception Ratio (PRR), and throughput metrics.

Main Results:

  • The proposed model demonstrates superior performance compared to IEEE 802.11bd.
  • Results are comparable to 3rd Generation Partnership Project Vehicle-to-Everything (3GPP V2X) New Radio (NR).
  • The system surpasses existing BER results across various modulation and coding schemes, validated by simulation and numerical findings.

Conclusions:

  • The developed model offers an ultra-reliable communication solution for VANETs over millimeter waves.
  • It effectively addresses challenges posed by fading and high vehicle velocities.
  • The derived expressions and model provide an accurate and efficient tool for building next-generation vehicular networks.