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Offload decision-making method for mobile edge computing based on deep deterministic policy gradient

A decision-making method and edge computing technology, applied in the field of communications to minimize energy loss and ensure service quality

Active Publication Date: 2021-06-18
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
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  • Application Information

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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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  • Offload decision-making method for mobile edge computing based on deep deterministic policy gradient
  • Offload decision-making method for mobile edge computing based on deep deterministic policy gradient
  • Offload decision-making method for mobile edge computing based on deep deterministic policy gradient

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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

A mobile edge computing shunt decision-making method based on a deep deterministic policy gradient method, including the following steps: 1) Calculate all energy losses in the system under a given shunt decision; 2) Find an optimal Optimal shunt decision x nm , the split decision x of all users nm are programmed into the state x required by the execution unit t ; 3) Offload decision x for all wireless devices nm State x as a deep deterministic policy approach t , action a is to state x t After the change, the total energy loss of the system will be compared with a set standard value, if it is greater than this standard value, the current reward r(x t , a) is set to a positive value, otherwise it is set to a negative value, and the system enters the next state x t+1 , repeating this iterative process until the best split decision x nm . The present invention minimizes energy consumption under the premise of ensuring 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 Patents(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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