Distributed Beam Tracking for Vehicular Communications Via UAV-Assisted Cellular Network

Dohyun Jang, Ha Lim Song, Young Chai Ko, H. Jin Kim

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose a distributed beam tracking scheme for millimeter-wave unmanned aerial vehicle (UAV)-assisted communication systems. In the considered systems, aerial node base (aNB) connects the ground vehicles (GV) through directive beams to mitigate the path loss. However, line-of-sight (LoS) blockage may result in the link disconnection, which leads to the corruption of observations. To solve this issue, we extend the one-to-one beam tracking into the multi-node cooperative beam tracking scheme. For the multi-node cooperative problem, we develop the distributed extended Kalman filter (EKF)-based beam tracking to overcome the high nonlinearity and field-of-view (FoV) limitation of the observation model. While the multi-node cooperation scheme alleviates the corruptions of the observations, it may cause the error propagation between neighbor nodes. Thus, we incorporate the resilient network control into the proposed scheme. Consequently, a distributed EKF-based multi-node cooperative beam tracking protocol is proposed for the correction of corrupted observations and link stability. From our comprehensive simulation, the result of the proposed scheme shows 87.07% error reduction compared to the single node method. This improvement is comparable to the result of the centralized method (91.28% error reduction), and the proposed scheme also has the advantage of scalability.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalIEEE Transactions on Vehicular Technology
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Estimation
  • Geometry
  • Kalman filters
  • Land vehicles
  • Millimeter wave communication
  • Millimeter wave technology
  • NR beam management
  • Target tracking
  • UAV-assisted communication
  • beam tracking
  • distributed system
  • monopulse signal

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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