Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Self-adaptive cross-regional base station energy consumption model migration and compensation method

A compensation method and energy consumption model technology, applied in the field of machine learning, can solve the problems of inability to obtain information correctly, not using log data set operations, not eliminating log data set errors and hidden dangers, etc., to achieve the effect of breaking through reliability.

Active Publication Date: 2020-03-13
XI AN JIAOTONG UNIV
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] 2. In the data mining, the hidden errors and hidden dangers of the log data set are not eliminated, so that the information cannot be obtained correctly;
[0008] 3. The method at this stage does not use the variables hidden in the log data set to operate

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Self-adaptive cross-regional base station energy consumption model migration and compensation method
  • Self-adaptive cross-regional base station energy consumption model migration and compensation method
  • Self-adaptive cross-regional base station energy consumption model migration and compensation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] The present invention will be further explained below in combination with specific implementation methods and accompanying drawings.

[0063] see Figure 1 to Figure 3 , an adaptive cross-region base station energy consumption model migration and compensation method, including the following steps:

[0064] Acquisition and preprocessing of power log files:

[0065] 1.1) First use the Logstash adapter to extract the power consumption log files from the base station in the source area and power consumption log files of base stations in the target area The log file mainly records the change of the power consumption data of the base station within a period of time.

[0066] 1.2) Preprocess the data in the original power consumption log file, filter out irrelevant information, and filter out the power consumption data that changes with time.

[0067] 2) Based on Wassertein Generative Adversarial Networks (Wasserstein Generative Adversarial Networks, WGAN) for source a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a self-adaptive cross-regional base station energy consumption model migration and compensation method. The method mainly comprises two parts of generating an auxiliary log file by utilizing a Wassertein generative adversarial network and constructing a model for predicting the state of a target regional base station by utilizing a migration source regional model. Accordingto the method adopted by the invention, the method comprises the following steps: firstly, acquiring a log file of each regional base station, and generating a large number of auxiliary base stationlog files by utilizing a Wassertein generative adversarial network; and generating a classification model by using the log files of a large number of source area base stations and a small number of target area base station files for estimating the performance of the target area base station.

Description

technical field [0001] The invention belongs to the field of machine learning, and in particular relates to an adaptive cross-region base station energy consumption model transfer and compensation method. Background technique [0002] The communication base station refers to the radio transceiver station that transmits information between the mobile communication switching center and the mobile phone terminal. The construction of mobile communication base stations is an important part of my country's mobile communication network. Abnormal base station equipment will cause communication interruptions, billing errors, and even cause fires due to equipment overheating, causing major economic losses and information network paralysis. Therefore, base station monitoring and testing has become an important part of base station maintenance. However, due to the highly encapsulated nature of telecommunications equipment, it is difficult for equipment at different levels to estimate t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2148G06F18/24Y02D30/70
Inventor 惠维王睿杨钊张银辉赵鲲袁曙晖潘军
Owner XI AN JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com