A station scenario-based millimeter wave wireless backhaul channel modeling and performance optimization method

By constructing a location-based millimeter-wave wireless backhaul channel model and improving the traditional 3GPP SCM model, combined with data acquisition from omnidirectional antennas and phased array antennas, the dynamic characteristics of the channel in the station scenario are accurately characterized, solving the problem of time-varying characteristics of the train entry and exit channel, and improving beam tracking performance and system communication effect.

CN122159984APending Publication Date: 2026-06-05ZHENGZHOU UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHENGZHOU UNIV
Filing Date
2026-03-18
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing millimeter-wave channel research in station scenarios fails to cover the complex time-varying characteristics of the channel during train entry and exit, resulting in inaccurate channel modeling, inaccurate beam tracking performance evaluation, and impact on communication system performance.

Method used

By constructing a location-based millimeter-wave wireless backhaul channel model and improving the traditional 3GPP SCM model with measured parameter sets, combined with dual-dimensional data acquisition from omnidirectional antennas and phased array antennas, the dynamic characteristics of the channel are accurately characterized, the source of multipath components is clarified, and a precise basis is provided for beam tracking technology.

Benefits of technology

It achieves accurate fitting of the dynamic channel characteristics of trains entering and leaving stations, improves the performance of beam tracking technology, significantly improves the transmission rate and reliability of the system, increases throughput by 48.34%, and reduces bit error rate by 25.12%.

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Abstract

The application belongs to the technical field of intelligent railway wireless communication, and particularly relates to a millimeter wave wireless backhaul channel modeling and performance optimization method based on position in a station scene. The method innovatively combines dynamic channel measurement, position correlation parameter extraction and beam tracking technology, realizes accurate characterization of channel characteristics and significant improvement of system performance in the process of train entering and leaving the station. Through 26GHz millimeter wave channel dynamic measurement in the station scene, the data of omnidirectional antenna and phased array antenna are compared to determine the source of multipath; based on the 3GPP space channel model framework, key channel parameters changing with the position of the transmitting end are extracted; a position-based space channel model is constructed, and the beam direction is dynamically adjusted combined with the beam tracking technology, so as to realize the optimization of system throughput and bit error rate. The application effectively solves the problem that the traditional static model cannot adapt to the dynamic scene of train entering and leaving the station, and provides reliable technical support for intelligent railway high-speed data backhaul.
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