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Machine learning model, method and device for mobile terminal position tracking and storage medium

A machine learning model and equipment technology, applied in the field of communication, can solve the problems of difficult to obtain user location information, GPS signal does not work, etc., to achieve the effect of improving accuracy, maintaining robustness, and reducing interruptions.

Active Publication Date: 2020-07-03
PENG CHENG LAB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in mobile scenarios, users need to frequently update their location information to the base station
In practical applications, especially in indoor environments, it is difficult to obtain the user's location information because the GPS signal does not work sometimes

Method used

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  • Machine learning model, method and device for mobile terminal position tracking and storage medium
  • Machine learning model, method and device for mobile terminal position tracking and storage medium
  • Machine learning model, method and device for mobile terminal position tracking and storage medium

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Embodiment Construction

[0033] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the specific implementation, structure and features of the communication method, equipment and storage medium proposed in accordance with the present invention will be described below in conjunction with the accompanying drawings and preferred embodiments. And its effect, detailed description is as follows.

[0034] The location tracking mentioned in this article, also known as location tracking, mobility tracking / tracking, user tracking / tracking or beam tracking / tracking, refers to tracking the user's movement, that is, knowing whether it is moving, and predicting whether the user is at the transmitting end (referred to as TX) ) and the movement of the next time slot between the receiving end (referred to as RX), so that the base station (referred to as BS) can align its beam direction with the mobile user according to the prediction res...

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Abstract

The invention discloses a machine learning model, method and device for mobile terminal position tracking and a storage medium. The invention relates to a communication method and device and a storagemedium. The method comprises the steps that a communication signal of a current time slot of a user side is received; according to a pre-trained machine learning model, processing the parameters of the communication signal of the current time slot to predict the movement of the user side in the next time slot; wherein the training process of the machine learning model comprises the following steps: acquiring communication observation data; determining a plurality of data lines from the communication observation data, each data line including starting point information, target point information, and a motion direction label between the starting point and the target point; and taking the plurality of data lines as a training set for training. According to the invention, the prediction precision of user movement can be improved, and the interruption condition in communication is reduced.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a communication method, a machine learning model for tracking the position of a mobile terminal in a mobile communication network, a device, and a storage medium. Background technique [0002] The statements herein merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] According to the Ericsson Mobility Report, by 2023, the number of global mobile users will increase to 8.9 billion, the number of mobile Internet of Things (IoT) connections will reach 3.5 billion, and the total global monthly mobile data traffic will reach 107 EB. Millimeter wave (mmWave) communications extend current wireless communications, and its wideband from 30GHz to 300GHz helps deliver extremely high data rates. Millimeter wave communication is good at supporting short-range applications of high-speed services, such as m...

Claims

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Application Information

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IPC IPC(8): H04W4/021H04W4/029H04W4/33H04W64/00G06N3/08
CPCG06N3/08H04W4/021H04W64/00H04W4/029H04W4/33
Inventor 高跃
Owner PENG CHENG LAB