LTE power wireless private network task unloading and resource allocation method based on cloud side cooperation

A wireless private network and resource allocation technology, applied in the field of electric power, can solve the problem of not considering system differences and so on

Active Publication Date: 2020-08-25
STATE GRID LIAONING ELECTRIC POWER RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the disadvantage of this method is that it does not consider the differences between different types of systems

Method used

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  • LTE power wireless private network task unloading and resource allocation method based on cloud side cooperation
  • LTE power wireless private network task unloading and resource allocation method based on cloud side cooperation
  • LTE power wireless private network task unloading and resource allocation method based on cloud side cooperation

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Embodiment 1

[0126] The present invention is a LTE power wireless private network task offloading and resource allocation method based on cloud-edge collaboration. There are four different delays in the cloud-edge collaboration system, and the total delay of all devices is calculated and calculated as the total time of all mobile devices. The problem of delay minimization is formulated as a mathematical model. The present invention considers the task offloading scheme in four different system scenarios, and solves the optimal allocation value of computing resources in the cloud-edge collaborative system.

[0127] The present invention is a method for offloading and resource allocation of LTE power wireless private network tasks based on cloud-edge collaboration, including the following steps:

[0128] Step 1. Establish a cloud-side collaboration system;

[0129] Step 2. Establish a MEC cache model;

[0130] Step 3. Analyze the time delay existing in the cloud-edge collaborative system; ...

Embodiment 2

[0232] The present invention uses a MATLAB simulation tool to simulate and verify the proposed cloud-edge collaboration-based task offloading and resource allocation (Cloud-Edge-TORD) scheme under the framework of cloud-edge collaboration. In order to verify the superiority of this scheme, the proposed scheme will be compared with the other three schemes. Scheme 1: Only edge, all tasks are offloaded to the MEC server and processed by the MEC server; Scheme 2: Only cloud, all tasks are Offloading to the cloud server, which is all handled by the cloud server; solution 3: Simple fixed cloud and edge, without an effective task allocation strategy, simply divides the task into two halves, one half is executed by the MEC server, and the other half is executed by the cloud server .

[0233] The parameters of this embodiment are set as follows:

[0234] In the simulation experiment, it is assumed that each MEC server serves 25 mobile devices fixedly, and the coverage radius of each M...

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Abstract

The invention belongs to the technical field of electric power, and particularly relates to an LTE electric power wireless private network task unloading and resource allocation method based on cloudside cooperation. The method comprises the following steps: calculating all time delays of equipment according to four different time delays existing in a cloud-side cooperative system, and establishing a mathematical model for the problem of minimizing the total time delay of all mobile equipment; considering a task unloading scheme in four different system scenes, and solving an optimal allocation value of computing resources in the cloud-side cooperative system. Under all conditions, the performance of the method is optimal, and by executing the cloud edge cooperation strategy and adoptingthe task unloading and resource allocation strategy provided by the invention, the computing power of the edge node and the cloud server can be optimally allocated, and the minimization of the averagesystem time delay is realized.

Description

technical field [0001] The invention belongs to the field of electric power technology, and in particular relates to a method for task offloading and resource allocation of an LTE electric power wireless private network based on cloud-edge collaboration. Background technique [0002] With the rapid development of LTE power wireless private network, the number of access devices in the network continues to increase, which brings great challenges to traditional cloud computing networks. In traditional cloud computing, due to multi-hop data transmission, the task delay is relatively large, and the core network load is relatively large. Mobile edge computing is considered to be the key technology of the next generation of wireless communication. By deploying the mobile edge computing center at the edge of the network, it provides low-latency computing services and improves the computing power of the network to meet the ever-increasing user needs. [0003] In order to use the ser...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/911H04L12/927H04L5/00H04L29/08H04L47/80
CPCH04L47/70H04L47/805H04L5/0044H04L5/006H04L67/1074Y02D30/70
Inventor 李欢孙峰刘扬王东东卢盛阳杨智斌任帅李桐佟昊松
Owner STATE GRID LIAONING ELECTRIC POWER RES INST
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