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Performance Evaluation of Cooperative LTE-DSRC Vehicular Network

Published: 22 November 2021 Publication History

Abstract

Intelligent Transport Systems (ITS) are fundamental to reaching the concept of smart cities. However, the incoming development of vehicular applications will originate an increase in long-term evolution (LTE) traffic demand, so an approach consists of reducing the cell coverage area. This paper presents an alternative solution to deal with areas with a lack of coverage originated by the deployment of LTE micro-cells. We propose a heterogeneous network algorithm named Multi-Metric Heterogeneous Network Algorithm (MMHNA), which uses LTE and dedicated short-range communications (DSRC) technologies. The objective is to extend the LTE communication range with the support of DSRC technology through a forwarding process. This proposal will allow vehicles to send messages to a server directly connected to the evolved Node B (eNB), i.e., the radio network node for LTE networks, even if the sending vehicle is out of range of the eNB.

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      cover image ACM Conferences
      PE-WASUN '21: Proceedings of the 18th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks
      November 2021
      133 pages
      ISBN:9781450390781
      DOI:10.1145/3479240
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 22 November 2021

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      Author Tags

      1. dsrc
      2. intelligent transport systems
      3. lte
      4. wireless heterogeneous vehicularnetwork

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      • Enhancing CommunicationProtocols with Machine Learning while Protecting Sensitive Data (COMPROMISE)

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