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CoMP-Based Seamless Handover and Resource Allocation for 5G-V2X Platoon Systems

  • Harbin Institute of Technology Shenzhen

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

Abstract

In this paper, the handover problem is investigated for a cellular vehicle-to-everything (C-V2X) based vehicle platoon. We propose a cooperative multipoint transmission (CoMP)-based seamless handover between roadside units (RSUs) and resource allocation (C-SHRA) algorithm, where a CoMP-based seamless handover is proposed to avoid ping-pong handover for RSU-to-platoon (R2P) link, and a cooperative spectrum-sharing based resource allocation scheme is designed to mitigate both intra-platoon and inter-RSU interferences for intra-platoon vehicle-to-vehicle (V2V) links. A joint block length and transmission power optimization (JBLTPO) algorithm is proposed to maximize the effective throughput of the R2P link in the CoMP mode. Numerical results show that the proposed C-SHRA algorithm is verified for effective communication performance enhancement, and the proposed JBLTPO algorithm achieves the optimal performance in terms of effective throughput with a significant complexity reduction over exhaustive search.

Original languageEnglish
Title of host publicationICC 2022 - IEEE International Conference on Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2010-2015
Number of pages6
ISBN (Electronic)9781538683477
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 IEEE International Conference on Communications, ICC 2022 - Seoul, Korea, Republic of
Duration: 16 May 202220 May 2022

Publication series

NameIEEE International Conference on Communications
Volume2022-May
ISSN (Print)1550-3607

Conference

Conference2022 IEEE International Conference on Communications, ICC 2022
Country/TerritoryKorea, Republic of
CitySeoul
Period16/05/2220/05/22

Keywords

  • 5G-V2X
  • CoMP
  • Finite Block Length
  • Platoon
  • Resource Allocation
  • Seamless Handover
  • URLLC

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