Content caching method based on federated learning in fog computing network

A technology of content caching and fog computing, which is applied in the field of mobile communications, can solve problems such as service quality degradation, and achieve the effects of efficient content caching, minimization of total network traffic costs, and efficient caching deployment

Active Publication Date: 2020-11-13
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With smaller storage, limited content can be cached, which may result in a lower quality of service compared to larger storage

Method used

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  • Content caching method based on federated learning in fog computing network
  • Content caching method based on federated learning in fog computing network
  • Content caching method based on federated learning in fog computing network

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Embodiment Construction

[0029] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0030] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to a content caching method based on federated learning in a fog computing network, and belongs to the technical field of mobile communication. By deploying the content cache inthe F-RAN, rapid and repeated data access can be realized, and the network transmission flow is reduced. Due to the limitation of the cache capacity, the prediction of the popularity of the content and the caching of which popular contents are very important. Generally, most classical prediction methods need to collect personal user information in a central unit, and many user privacy problems arecaused. The invention provides an intelligent F-RANs example based on federated learning. Federal learning is applied to a demand prediction problem, and content popularity distribution in a networkcan be accurately predicted. In addition, in consideration of the content request of the user, the problems of storage resource allocation and content placement in the network are jointly optimized. According to the method, the joint optimization problem is expressed as an integer linear programming model, and the purpose is to minimize the total flow cost of the network.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and relates to a content caching method based on federated learning in a fog computing network. Background technique [0002] In recent years, the increasing popularity of smart devices such as wearable devices, smartphones, and sensors in our daily life has triggered a surge in many distributed network devices, generating massive heterogeneous data that needs to be processed. Due to the unprecedented and exponential growth of data volume, and the typical private nature of these data, it becomes impractical and fraught with privacy issues to send all data to cloud computing centers for processing. In addition, some applications and services rely heavily on high-speed data rates and low-latency transmission, prompting mobile network operators to rethink current network close to the end user. [0003] Therefore, to meet multiple multi-dimensional requirements for quality of service, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W28/14H04L29/08G06N20/00G06F9/50
CPCH04W28/14G06N20/00G06F9/5072H04L67/5682H04L67/568
Inventor 崔太平肖佗彭贻陈前斌
Owner CHONGQING UNIV OF POSTS & TELECOMM
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