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Location-Assisted Beam Alignment for Train-to-Train Communication in Urban Rail Transit System

Authors: Junhui Zhao 0001; Jin Liu 0023; Yiwen Nie; Shanjin Ni;

Location-Assisted Beam Alignment for Train-to-Train Communication in Urban Rail Transit System

Abstract

Train-to-train (T2T) communication is expected to increase efficiency of train operation and reduce life-cycle cost in construction for the urban rail transit system. In this paper, we adopt the millimeter wave (mmWave) band to achieve T2T communication and focus on the alignment problem of narrow beams between trains in the turning scene. We first investigate the beam coherence time related to a number of antennas and train speed to avoid misalignment problems and then propose a location-assisted beam alignment method and obtain analog beamforming and combining vectors by comparing the estimated beam deflection angle with the reference phase angle. To validate the proposed algorithm, the numerical results are presented and discussed, where the received signal to noise ratio (SNR), the computational complexity, and the loss rate of the received SNR are assessed. Compared with other search and alignment methods, the proposed algorithm shows significant superiority.

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Keywords

Beam alignment, train to train (T2T) communication, location information, millimeter wave (mmWave), Electrical engineering. Electronics. Nuclear engineering, urban rail transit, TK1-9971

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
gold