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Joint Communication and Control for mmWave/THz Beam Alignment in V2X Networks

  • Bo Chang
  • , Xiaoyu Yan
  • , Lei Zhang
  • , Zhi Chen
  • , Lingxiang Li
  • , Muhammad Ali Imran
  • University of Electronic Science and Technology of China
  • University of Glasgow

Research output: Contribution to journal › Article › peer-review

35 Scopus citations

Abstract

As promising candidate frequency bands, millimeter wave (mmWave) and terahertz (THz) communications can provide ultrahigh transmission rate to enable vehicle-to-everything (V2X) networks for connected autonomous vehicles (CAVs). However, beam alignment is extremely challenging in mmWave/THz communications due to its narrow beam width and fast mobility of CAV. In this article, we propose a new joint communication and control algorithm for beam alignment, where the mutual positive effect of communications and motion control of CAV on each other is discussed. Specifically, we first provide a framework to show the interaction between motion control of CAV and beam alignment of transmission from base station (BS) to CAV. Then, we analyze the effect of CAV control on beam alignment in communications, where a theorem is obtained to show the closed-form expression of their relationship. Finally, we discuss the CAV control design affected by beam alignment. Simulation results show remarkable performance of the proposed method.

Original languageEnglish
Pages (from-to)11203-11213
Number of pages11
JournalIEEE Internet of Things Journal
Volume9
Issue number13
DOIs
StatePublished - 1 Jul 2022
Externally publishedYes

Keywords

  • Beam alignment
  • connected autonomous vehicle (CAV)
  • joint communication and control
  • millimeter wave (mmWave) and terahertz (THz) communications
  • vehicle to everything (V2X)

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