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A Dynamic Switching Method of Base Station Antenna Based on User Behavior Prediction

A base station antenna and dynamic switch technology, which is applied in location information-based services, wireless communication, radio transmission systems, etc., can solve problems such as not considering user needs, and achieve the effect of reducing energy consumption

Active Publication Date: 2022-04-05
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the current schemes for dynamically adjusting base station antennas only consider the number of users in the cell in the future, without considering the needs of users

Method used

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  • A Dynamic Switching Method of Base Station Antenna Based on User Behavior Prediction
  • A Dynamic Switching Method of Base Station Antenna Based on User Behavior Prediction
  • A Dynamic Switching Method of Base Station Antenna Based on User Behavior Prediction

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Embodiment Construction

[0033] Step 1: Predict the location coordinates of the user at the next moment, and obtain the number of users in the target cell

[0034] (11) The position coordinate l of each user at the current moment t t (x t ,y t ) as the input feature of the LSTM network, collect all user coordinates every 5 minutes, take the time step as n, then the input of the LSTM network is l t (x t-n ,y t-n )... l t (x t ,y t ), the output is l t+1 (x t+1 ,y t+1 ), then the input of the LSTM network is l t (x t-20 ,y t-20 )... l t (x t ,y t ), the output is l t+1 (x t+1 ,y t+1 ). Train the LSTM network with enough historical location records of users. Since the training process of the LSTM network is an existing mature process, it will not be repeated here. Train the LSTM network with enough historical location records of users;

[0035] (12) When predicting, input the position coordinates of each user in the past n moments, in this embodiment, input the position coordinates ...

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Abstract

The invention provides a base station antenna dynamic switching method based on user behavior prediction. For the user's movement pattern and traffic usage pattern, the location coordinate information and traffic consumption information of the user in the next time period can be obtained by predicting respectively. The number of users in the target cell in the next time period can be determined according to the coordinate information of the users. Based on the predicted traffic consumption information of the user, the data rate requirement of the user in the next time period can be estimated. In order to improve the accuracy of traffic forecasting, users are clustered according to the historical usage of their traffic, and a prediction model is trained for each type of user. According to the predicted number of users in the target cell and the rate requirements of the users, the present invention predicts the number of antennas that the base station needs to turn on at the next moment, and reduces the energy consumption of the base station while ensuring the needs of users.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a method for dynamically switching base station antennas based on user behavior prediction. Background technique [0002] In massive MIMO systems, hundreds of antennas are installed at the base station to increase system capacity. Conventional massive MIMO networks are designed for maximum throughput, so turning on all antennas wastes a lot of energy when the base station is located in a cell with little traffic load. If the number of enabled antennas can be dynamically adjusted according to the load in the cell, the purpose of energy saving can be achieved. Most of the current schemes for dynamically adjusting base station antennas only consider the number of future users in the cell, without considering the needs of users. Contents of the invention [0003] Purpose of the invention: In order to solve the above problems, the present invention provides a method for dynam...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/309H04B17/391H04W4/02H04W24/08H04B7/0413
CPCH04B17/3913H04W4/02H04W24/08H04B7/0413H04B17/309Y02D30/70
Inventor 刘楠龙鹏潘志文尤肖虎
Owner SOUTHEAST UNIV