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Intelligent beam prediction method and device for linear trajectory, equipment and medium

A prediction method and trajectory technology, applied in radio transmission systems, transmission monitoring, electrical components, etc., can solve the problems that the model-driven method cannot be effectively solved and the performance is degraded, so as to reduce the beam training overhead and command delivery delay, and improve performance. , the effect of improving spectral efficiency

Active Publication Date: 2022-02-11
PURPLE MOUNTAIN LAB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Model-driven methods in wireless communication have good theoretical guarantees and interpretability, but when faced with linear complex scenarios containing ambiguous priors, model-driven methods cannot effectively solve the problem, and the performance drops significantly

Method used

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  • Intelligent beam prediction method and device for linear trajectory, equipment and medium
  • Intelligent beam prediction method and device for linear trajectory, equipment and medium
  • Intelligent beam prediction method and device for linear trajectory, equipment and medium

Examples

Experimental program
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Effect test

Embodiment 1

[0043] Such as figure 1 As shown, an intelligent beam prediction method for linear trajectories includes the following steps:

[0044] Step S1, obtaining received pilot signals and measurement signals fed back by the mobile terminal at several observation times, the trajectory of the mobile terminal being a linear trajectory;

[0045] Specifically, at each observation moment, the transmitter of the base station transmits a set of pilot signals to the mobile terminal, the pilot signals are transmitted by the base station in the form of beams, and the transmitter of the base station transmits pilot signals at equal time intervals; The receiving pilot signal fed back by the terminal;

[0046] The measurement signal includes Doppler (Doppler) frequency and relative communication delay, where the Doppler frequency can be obtained by carrier frequency offset estimation (CFO), and the relative communication delay is the linear distance between the base station and the mobile termina...

Embodiment 2

[0064] Such as figure 1 and figure 2 Shown: In this embodiment, a kind of intelligent beam prediction method for linear trajectory is provided, applied in MU-MIMO millimeter wave communication system, comprising the following steps:

[0065] Step S1, obtaining received pilot signals and measurement signals fed back by the mobile terminal at several observation times, the movement trajectory of the mobile terminal being a linear trajectory;

[0066] Such as image 3 As shown, the base station ( image 3 The solid point Tx) in the transmitter transmits a set of pilot signals to each mobile terminal at equal time intervals, each mobile terminal moves on a linear trajectory, and the mobile terminal receiver receives the pilot signal transmitted by the base station transmitter, The mobile terminal feeds back the received pilot signal and measurement signal to the base station;

[0067] The measurement signal includes Doppler (Doppler) frequency and relative communication delay...

Embodiment 3

[0198] as attached Figure 7 As shown, an intelligent beam prediction device for linear trajectory, including:

[0199] An acquisition module, configured to acquire received pilot signals and measurement signals fed back by the mobile terminal at several observation moments, the trajectory of the mobile terminal being a linear trajectory;

[0200] The position and speed estimation module is used to calculate the mobile terminal projected position estimation value and speed estimation value based on the received pilot signal, and the mobile terminal projected position and speed estimation value based on the measurement signal, and obtain according to pre-training The data fusion neural network model to obtain the projected position and speed of the mobile terminal output by the model;

[0201] A position prediction module, used to calculate the projected position of the mobile terminal at the predicted moment according to the projected position and speed of the mobile terminal...

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Abstract

The invention discloses an intelligent beam prediction method and device for a linear trajectory, equipment and a medium, and the method comprises the steps: obtaining receiving pilot signals and measurement signals fed back by a mobile terminal at a plurality of observation moments, and respectively calculating a projection position estimation value and a speed estimation value of the mobile terminal based on the receiving pilot signals; obtaining the projection position and the speed of the mobile terminal output by a model according to a pre-trained data fusion neural network model based on the projection position and the speed estimation value of the mobile terminal of the measurement signal, and further calculating the projection position of the mobile terminal at a prediction moment; according to the projection position of the mobile terminal at the prediction moment, calculating analog pre-codes of the base station transmitting end and the mobile terminal receiving end at the prediction moment and digital pre-codes of the base station transmitting end, thereby realizing beam prediction. According to the method, the beam training overhead and the instruction issuing time delay in beam alignment and tracking are greatly reduced, and the spectrum efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of millimeter wave MIMO wireless mobile communication, in particular to an intelligent beam prediction method, device, equipment and medium for linear trajectories. Background technique [0002] Millimeter-wave multi-user multiple-input multiple-output (MIMO) wireless communication uses large-scale antennas and beamforming technology to solve the problem of path loss in high frequency bands, realize space division multiplexing, and improve spectrum efficiency. However, in mobile scenarios with large-scale antennas, especially high-speed railway scenarios, beam alignment and tracking have a lot of beam training overhead and significant command delay. Therefore, reducing the two problems of beam training overhead and command issuing delay is the key in current high-mobility wireless communication. The existing beam management framework still has a lot of room for improvement in solving the above probl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0456H04B7/0408H04B7/0413H04B17/373H04B17/391
CPCH04B7/0456H04B7/0408H04B7/0413H04B17/373H04B17/391H04B17/3913
Inventor 孟帆黄永明尤肖虎
Owner PURPLE MOUNTAIN LAB
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