Cross-regional communication flow prediction method based on heterogeneous model reuse

A communication flow, heterogeneous model technology, applied in digital transmission systems, electrical components, transmission systems, etc., can solve problems such as inappropriate open dynamic environments, and achieve solutions to changes in communication data characteristics, less resource occupation, and strong applicability Effect

Inactive Publication Date: 2019-11-26
NANJING UNIV
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Problems solved by technology

Previous model reuse technologies are mostly limited to application scenarios where old and new regions have the same characteristics, and are not s

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  • Cross-regional communication flow prediction method based on heterogeneous model reuse
  • Cross-regional communication flow prediction method based on heterogeneous model reuse
  • Cross-regional communication flow prediction method based on heterogeneous model reuse

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Embodiment Construction

[0028] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0029] The following embodiments take 4G signal communication traffic prediction as a specific example to illustrate. The old and new areas are respectively represented by cell B and cell A. The characteristics of communication data include time period, number of people in the cell, base station location, bit error rate, block error rate, and bandwidth. Occupancy rate, etc. The goal of communication traffic forecasting is to predict the amount of possible communication traffic in a certain few hour...

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Abstract

The invention discloses a cross-region communication flow prediction method based on heterogeneous model reuse. The method comprises a data acquisition step, a model reuse step, a new region model training step and a new region model test step. The method comprises the following steps: firstly, collecting communication data of different regions, including feature data and meta-information description data of features; training a model on the previous regional data, and mapping the heterogeneous model into the feature space of the current region by adopting a model reuse and optimal transportation technology; and finally, establishing a new model on the new area by using a small amount of communication data, soso to train a usable model with good performance by using a small amount of marked data. According to the method, the difficulties that feature spaces of new and old regions are different and only data in the new region is difficult to establish a new model can be solved, and themethod occupies few resources and is high in applicability in the implementation process.

Description

technical field [0001] The invention relates to a traffic forecasting method in the case of changes in communication characteristics of different areas in an open dynamic environment, in particular to a cross-area communication traffic forecasting method based on heterogeneous model reuse. Background technique [0002] In the field of communication, how to quickly and accurately predict the communication traffic of an area in the next period of time is very important. For example, when the communication traffic in an area is very low in the next few hours, the services of some communication base stations can be turned off, so as to reduce the Energy consumption, cost reduction and other purposes. However, the real environment is mostly open and dynamic, and there will be great differences in base station facilities, services provided, and communication quality in different regions, which leads to inconsistencies in the features that can be obtained in different regions. The...

Claims

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Application Information

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IPC IPC(8): H04L12/24
CPCH04L41/142H04L41/147
Inventor 叶翰嘉詹德川姜远周志华李新春
Owner NANJING UNIV
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