Mobile edge computational shunt decision method based on deep deterministic strategy gradient method

A decision-making method, edge computing technology, applied in the field of communication

Active Publication Date: 2018-10-09
ZHEJIANG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When users offload their tasks to the base station or the cloud, they can reduce their own energy consumption, but the service quality of these offloaded tasks will be affected by some additional losses, such as transmission delay

Method used

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  • Mobile edge computational shunt decision method based on deep deterministic strategy gradient method
  • Mobile edge computational shunt decision method based on deep deterministic strategy gradient method
  • Mobile edge computational shunt decision method based on deep deterministic strategy gradient method

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Embodiment Construction

[0064] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0065] refer to figure 1 and figure 2 , a mobile edge computing shunt decision-making method based on the deep deterministic policy gradient method. The implementation of this method can minimize the overall energy loss and ensure the quality of service. The present invention is based on the multi-user system model (such as figure 1 As shown), an offload decision method is proposed to determine which tasks of which users will be offloaded to the cloud. At the same time, if the task is selected to be offloaded, its uplink and downlink rates will also be optimized to achieve the minimum energy loss. The shunt decision-making method includes the following steps (such as figure 2 shown):

[0066] 1) In a mobile communication system consisting of multiple users, and each user has multiple independent tasks, x nm The splitting decision of task m for user n, ...

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Abstract

The invention discloses a mobile edge computational shunt decision method based on a deep deterministic strategy gradient method. The method comprises the following steps: 1) computing all energy consumption in the system when a shunt decision system is given out; 2) searching an optimal shun decision xnm through a deep deterministic strategy method, wherein the shunt decisions xnm of all users are compiled into the state xt required by an execution unit; 3) taking the shunt decisions xnm of all wireless equipment as the state xt of the deep deterministic strategy method, and the action a as the change on the state xt, comparing the total energy loss of the changed system with a set standard value, setting the current award r (xt, a) as the positive value if the total energy loss is greater than the standard value, otherwise, setting as the negative value; enabling the system to enter the next state xt+1, and continuously repeating the iteration process until obtaining the optimal shunt decision xnm. The energy loss is minimized in the premise of guaranteeing the user experience.

Description

technical field [0001] The invention belongs to the field of communication, and in particular relates to a communication system for mobile edge computing and a mobile edge computing shunt decision-making method based on a deep deterministic policy gradient method. Background technique [0002] With the extensive development of wireless communication technology, wireless communication technology has penetrated into every aspect of human life. Mobile edge computing expands the capabilities of mobile devices, and with the help of abundant cloud resources, user experience is greatly improved. In a multi-user mobile communication system, all users share transmission resources. When users offload their own tasks to the base station or the cloud, they can reduce their own energy consumption, but the service quality of these offloaded tasks will be affected by some additional losses, such as transmission delay. In order to minimize all energy consumption and ensure the quality of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02H04W28/10H04W28/06
CPCH04W24/02H04W28/06H04W28/10Y02D30/70
Inventor 黄亮冯旭钱丽萍吴远
Owner ZHEJIANG UNIV OF TECH
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