Task unloading method of heterogeneous cellular network

A cellular network and task technology, applied in the field of cloud computing, can solve problems such as inability to effectively reduce transmission energy consumption, and achieve the effect of maximizing unloading utility, reducing congestion, and reducing backlog

Active Publication Date: 2018-02-16
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Considering the problem only from the perspective of service delivery cannot effectively reduce transmission energy consumption
The current research has only don...

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  • Task unloading method of heterogeneous cellular network
  • Task unloading method of heterogeneous cellular network
  • Task unloading method of heterogeneous cellular network

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Embodiment Construction

[0028] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, and Not all examples.

[0029] A task offloading method of a heterogeneous cellular network in the present invention, such as figure 1 ,include:

[0030] Create a user uninstall task request and preset parameters;

[0031] Construct Lyapunov function and objective function;

[0032] According to the objective function to maximize the utility of user system unloading, reduce the backlog of user queues, and then choose the method to solve the optimal unloading amount according to whether the set WIFI connection time is determined, if it is determined, use the Lagrangian optimization method to solve the optimal unloading...

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Abstract

The invention relates to the technical field of communication, in particular to a task unloading method of a heterogeneous cellular network. The method comprises the steps as follows: a user unloadingtask request is established and parameters are preset; a lyapunov function and a target function are constructed; the queue backlog is minimized while the user unloading utility is maximized, a method for solving the optimal unloading amount is selected according to the effect of network heterogenization on user unloading tasks and whether the WIFI connection lime is determined, that is, if the set WIFI connection time is determined, a lagrangian optimization method is adopted to solve the optimal unloading amount; otherwise, stochastic programming is adopted to solve the optimal unloading amount. The user system unloading utility maximization is considered, the unloading queue backlog is reduced, and the user mobility and the effect of network heterogenization on the user unloading tasksare considered, so that the backlog of user unloading tasks is substantially reduced and system jam is reduced while the user unloading utility is maximized.

Description

[0001] The invention relates to the technical field of cloud computing, in particular to a task offloading method of a heterogeneous cellular network. Background technique [0002] In the "mobile" era, industries are accelerating mutual penetration and integration, while technology and services are still the focus of competition. According to data released by the international market research organization eMarketer, the number of people using smartphones in the world has exceeded 2 billion in 2016. The smart phone market tends to be saturated, and related businesses based on smart phones have entered a stage of rapid development. These businesses include mobile payment, mobile games, mobile e-commerce, mobile information, mobile travel, etc. However, mobile terminals (such as smart phones and tablet computers) are important tools for people to handle business, and more and more people put important business on mobile terminals to run. Compared with desktop computers, mobile t...

Claims

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Application Information

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IPC IPC(8): H04W28/02
CPCH04W28/0289
Inventor 黄巍郑梦妍李云吴广富
Owner CHONGQING UNIV OF POSTS & TELECOMM
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