Mobile user-oriented 5G network edge server deployment method

An edge server and mobile user technology, applied in the direction of network traffic/resource management, wireless communication, electrical components, etc., can solve the problem of different research points, without considering the impact of edge server deployment on the difference between macro base stations and micro base stations, insufficient user mobility issues

Pending Publication Date: 2022-04-29
广州大鱼创福科技有限公司
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  • Abstract
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  • Claims
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Problems solved by technology

However, when they determined the deployment plan of the edge server, they ignored two problems: On the one hand, when they determined the deployment plan of the edge server, they considered all base stations equally, and did not consider the macro base station and micro base station in the 5G network. The impact of base station differences on edge server deployment; on the other hand, they do not fully take user mobility into edge server deployment, resulting in a certain one-sidedness in the determined edge server deployment plan
Although both are studies in the field of edge server deployment, their respective research points are completely different

Method used

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  • Mobile user-oriented 5G network edge server deployment method
  • Mobile user-oriented 5G network edge server deployment method
  • Mobile user-oriented 5G network edge server deployment method

Examples

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no. 1 example

[0086] The first embodiment: a mobile user-oriented 5G network edge server deployment method, which includes the following steps:

[0087] S1, constructing network snapshots in different time periods; the movement of users usually follows a repeating pattern that takes one day as a cycle; users usually work in the office building from 9:00 to 19:00, and rest at home from 19:00 to 24:00. Sleep at home from :00 to 9:00; therefore, build three network snapshots according to the above-mentioned time periods for the mobile user data of a day;

[0088] S2, obtain the respective edge server deployment schemes of the three network snapshots; for each network snapshot, minimize user delay and edge server deployment cost as the optimization goal, use the improved discrete binary particle swarm algorithm and the nearest association algorithm to optimize the objective function Solving, thus obtaining the edge server deployment scheme of each network snapshot;

[0089] S3, build the edge ...

no. 2 example

[0142] The invention discloses a mobile user-oriented 5G network edge server deployment method, such as figure 1 shown, including the following steps:

[0143] The first step is to construct network snapshots of different time periods. The user's movement usually follows such a rule, that is, the user's movement is repeated on a daily basis and the user usually works in the office building from 9:00 to 19:00, rests at home from 19:00 to 24:00, and 0:00 to 24:00. Sleep at home from 00 to 9:00; therefore, analyze the mobile user data of a day, and construct three network snapshots W1, W2 and W3 in different time periods according to the user's movement rules in a day.

[0144] In this embodiment, the information included in the network snapshot mainly includes: the location where the user sends the request, the rate at which the user sends the request, and the data volume of the user's request. According to the location where the user sends the request and the location and cov...

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Abstract

The invention discloses a 5G network edge server deployment method for mobile users. The 5G network edge server deployment method comprises the following main steps: S1, dividing mobile user data in one day into a plurality of network snapshots in different time periods; s2, taking user delay and edge server deployment cost as optimization objectives, and obtaining edge server deployment schemes of different network snapshots through an improved discrete binary particle swarm optimization algorithm and a recent association algorithm; s3, obtaining a set C containing all network snapshot edge server positions; s4, calculating the position numbers of the edge servers of different network snapshots, and obtaining the maximum value K of the position numbers of the edge servers in all the network snapshots; and S5, selecting an edge server deployment position meeting the movement requirement of the user by adopting an alternate replacement mode to obtain an edge server deployment scheme. According to the method, the user delay is reduced, the mobility of the user is effectively considered, and the overall performance of the system is improved; the method is simple, and an edge server deployment scheme can be obtained more quickly.

Description

technical field [0001] The invention belongs to the field of mobile edge computing edge server deployment, in particular to a mobile user-oriented 5G network edge server deployment method. Background technique [0002] With the development of 5G technology and the Internet of Things, a large number of mobile terminals need to access the network for data transmission and processing. Most terminal applications have high requirements for delay. Users hope to complete data processing in a short time and According to feedback, the traditional cloud computing network architecture is difficult to meet the needs of current users, and mobile edge computing provides technical support for delay-sensitive applications due to its proximity to end users. [0003] As one of the most important tasks to realize mobile edge computing, edge server deployment is not well studied at present. Only by realizing a reasonable edge server deployment, can the subsequent functions of data processing, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02H04W28/02H04W28/08
CPCH04W24/02H04W28/0226H04W28/0975H04W28/0861
Inventor 何利刘天成
Owner 广州大鱼创福科技有限公司
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