Variable-period mobile edge computing unloading decision-making method considering multi-resource limitation

A decision-making method and edge computing technology, applied in digital transmission systems, electrical components, transmission systems, etc., can solve problems such as poor scalability, strong assumptions ignoring resource constraints, etc.

Active Publication Date: 2021-02-26
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The problem solved by the technology of the present invention is: to overcome the shortcomings of existing models that make strong assumptions and ignore resource constraints, and at the same time solve the problem of poor scalability of existing decision-making methods

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  • Variable-period mobile edge computing unloading decision-making method considering multi-resource limitation
  • Variable-period mobile edge computing unloading decision-making method considering multi-resource limitation
  • Variable-period mobile edge computing unloading decision-making method considering multi-resource limitation

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Embodiment Construction

[0048] In the field of edge computing, the present invention provides a simulation model of mobile edge computing considering multi-resource constraints, and provides a feasible computing power offloading decision-making method. The specific implementation of the present invention will be further described in detail in conjunction with the accompanying drawings. . The following examples or drawings are used to illustrate the present invention, but not to limit the scope of the present invention.

[0049] Considering that there is an edge server with limited computing resources in the edge computing system, and there is a macro base station and multiple micro base stations as the communication intermediary between the mobile edge server and the UE, and it is set that each base station has multiple communication channels with different signal gains. frequency band. figure 1 It shows the composition diagram of the edge computing simulation model. The unloading path passes throug...

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Abstract

The invention relates to a variable-period mobile edge computing unloading decision-making method considering multi-resource limitation and an edge computing simulation model for testing the method. The simulation model considers restrictions of various resources, including restrictions of local computing power and communication capability of user mobile equipment, computing power of an edge server and a communication channel; a plurality of parameters of the model obey uniform distribution and are randomly generated. Based on the above model, in combination with a depth determination strategygradient descent depth reinforcement learning method, a feasible variable period unloading decision method is designed, the task failure rate, the energy consumption and the time delay are used as optimization indexes, and calculation unloading decision and signal transmission channel and edge server calculation power distribution are carried out at the same time. The method has the main advantages that the established model environment is close to reality due to high randomness and many consideration limits, and the variable period decision learning method overcomes the time delay caused bywaiting for a decision time slot by a task.

Description

technical field [0001] The present invention relates to a variable-period mobile edge computing offloading decision-making method considering multi-resource constraints, and an edge computing simulation model for testing the method—although the title only includes the offloading decision-making method. The proposed model is close to the actual application environment, and the computational unloading decision-making method has good applicability. Background technique [0002] Mobile edge computing is widely considered to be a new paradigm that complements cloud computing. The idea behind it is to strategically place computers with high computing performance near user equipment in the network. The network offloads computing tasks to edge servers that are close to it, and then transmits the computing results of the servers back to the local area, reducing local energy consumption and computing delays, thereby improving user experience. [0003] Offload decision-making is its k...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L29/08
CPCH04L41/0823H04L41/0893H04L41/145H04L67/1004
Inventor 王岩李子建
Owner BEIHANG UNIV
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