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Method for computing unloading according to user movement mode in mobile edge computing

A technology of user mobility and edge computing, which is applied in the field of mobile communication technology and computer, can solve the problem of increased receiving delay of mobile smart terminal equipment, achieve precise task migration actions, speed up training, and avoid the effect of dimension explosion

Pending Publication Date: 2022-05-31
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For example, unmanned autonomous driving technology in the field of artificial intelligence, due to the high mobility of vehicle driving, the edge computing server associated with offloading computing tasks may become farther and farther away from mobile smart terminal devices. , the receiving delay of mobile smart terminal equipment will also increase accordingly

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  • Method for computing unloading according to user movement mode in mobile edge computing
  • Method for computing unloading according to user movement mode in mobile edge computing
  • Method for computing unloading according to user movement mode in mobile edge computing

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] like figure 1 As shown, the present invention is a method of calculating and offloading according to the user's mobile mode, specifically related to mobile edge computing task migration offloading technology and deep reinforcement learning technology, constructing a system model, and judging whether the user is within the coverage of the original MEC server. In the coverage area, the task migration and offloading will not be performed, otherwise the tas...

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Abstract

The invention belongs to the technical field of mobile communication and computers, and particularly relates to a method for computing unloading according to a user moving mode in mobile edge computing. The method comprises the following steps: establishing a communication model of a system in the heterogeneous network; according to the position coordinates of the MEC servers associated with the user in the current time slot and the previous time slot of the user; calculating the distance between the coordinates of the two MEC servers; determining whether the user needs to perform task migration or not; according to the distance between the MEC server coordinates before and after user association, respectively calculating the user experience quality and the delay cost of the user in the moving mode; the difference value between the user experience quality and the delay cost in the mobile mode is used as an award, and the total cost of the user experience quality is optimized by using an improved deep reinforcement learning DQN algorithm; according to the method, a migration unloading decision can be made for the task of the user under the condition that the motion mode of the user is not known in advance, and the method has very strong generalization ability.

Description

technical field [0001] The invention belongs to the field of mobile communication technology and computer technology, and in particular relates to a method for computing unloading according to user task movement patterns in mobile edge computing. Background technique [0002] In recent years, with the maturity of 5G technology and the rapid development of heterogeneous networks based on the Internet of Things, many new applications and new scenarios have emerged. With the exponential growth of mobile smart terminal devices, massive unprocessed data tasks are generated, which puts high demands on the computing power and cache capacity of mobile smart terminal devices. The ability of computing and caching massive data of ordinary household mobile smart terminal devices is difficult to meet the requirements, especially various new technologies gradually emerging in the field of artificial intelligence, such as automatic driving technology, virtual reality technology, augmented ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/445G06N3/04G06N3/08H04W28/08
CPCG06F9/44594H04W28/0925G06N3/08G06N3/045Y02D30/70
Inventor 李云陈治涵
Owner CHONGQING UNIV OF POSTS & TELECOMM
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