Joint autonomous resource selection and scheduled resource allocation for D2D-based V2X communication

Xiaoshuai Li, Rajan Shankaran, Mehmet Orgun, Lin Ma, Yubin Xu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

12 Citations (Scopus)

Abstract

In this paper, we investigate the resource allocation problem for D2D-based Vehicle-to- Everything (V2X) communication. There are two resource allocation modes for V2X sidelink communication: autonomous resource selection and scheduled resource allocation which is further divided into 2 categories-the dedicated mode and the reuse mode. Considering that each V2X message is arranged with the independent ProSe Per-Packet Priority (PPPP) and V2X sidelinks require stringent latency and reliability, therefore, in this paper, we propose a new joint autonomous resource selection and scheduled resource allocation approach to maximize the sum of the information values of all users. Our proposed scheme not only considers the user's PPPP but also takes into account the user's communication reliability, while guaranteeing the quality of service (QoS) of both Pedestrian user equipments (P-UEs) and Vehicle user equipments (V-UEs). A comprehensive performance evaluation is conducted to demonstrate the efficacy of the proposed scheme.

Original languageEnglish
Title of host publication2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-5
Number of pages5
Volume2018-June
ISBN (Electronic)9781538663554
ISBN (Print)9781538663561
DOIs
Publication statusPublished - 20 Jul 2018
Event87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
Duration: 3 Jun 20186 Jun 2018

Conference

Conference87th IEEE Vehicular Technology Conference, VTC Spring 2018
Country/TerritoryPortugal
CityPorto
Period3/06/186/06/18

Keywords

  • Autonomous resource selection
  • D2D-based V2X communication
  • Power control
  • ProSe Per-Packet Priority
  • Scheduled resource allocation

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