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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Smart Bandwidth Assignation in an Underlay Cellular Network for Internet of Vehicles.

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Summary

This study proposes an enhanced Radio Resource Management (RRM) algorithm for the Internet of Vehicles (IoV). The new underlay methodology improves cellular spectral efficiency and ensures Quality of Service (QoS) for Intelligent Transportation Systems (ITS).

Keywords:
Internet of VehiclesQoS requirementsVANETsintelligent transportation systemssmart bandwith utilizationsmart wireless technologies

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • The Internet of Things (IoT) paradigm is evolving into Vehicular Ad Hoc Networks (VANETs), leading to the Internet of Vehicles (IoV) ecosystem.
  • Efficiently sharing radio resources among connected users (vehicles, infrastructure, pedestrians) in the IoV is a critical challenge.
  • Existing Radio Resource Management (RRM) techniques require enhancement to support the diverse needs of IoV applications.

Purpose of the Study:

  • To propose an enhanced Radio Resource Management (RRM) algorithm for robust co-existence in the Internet of Vehicles (IoV).
  • To improve cellular spectral efficiency with minimal impact on existing cellular communications.
  • To ensure Quality of Service (QoS) requirements for Intelligent Transportation Systems (ITS) applications.

Main Methods:

  • An underlay Radio Resource Management (RRM) methodology is introduced.
  • The proposed algorithm is designed to balance spectral efficiency gains with interference management.
  • Performance is evaluated through simulations, comparing the proposed RRM against two other RRM approaches.

Main Results:

  • The proposed underlay RRM methodology demonstrates significant improvements in cellular spectral efficiency.
  • Minimal impact on established cellular communications is observed.
  • The algorithm effectively ensures the Quality of Service (QoS) for various Intelligent Transportation Systems (ITS) applications.

Conclusions:

  • The developed underlay RRM methodology offers a promising solution for efficient radio resource sharing in the Internet of Vehicles (IoV).
  • The approach successfully enhances spectral efficiency while maintaining robust support for ITS applications.
  • This work contributes to the advancement of connected vehicle technologies and intelligent transportation systems.