Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Wireless resource virtualization method based on Gaussian Fitting

A Gaussian fitting, wireless resource technology, applied in wireless communication, transmission monitoring, electrical components, etc., can solve the problems of difficult to quantify the use of statistical information, difficult to calculate network virtual resources, high complexity of wireless network virtual resources, to overcome It is difficult to accurately quantify the effect of using and improving distribution efficiency

Active Publication Date: 2019-02-15
XIDIAN UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art, and propose a wireless resource virtualization method based on Gaussian fitting. The present invention considers that the complex statistical information of virtual resources is difficult to accurately quantify and use, and wireless network virtual resources are used for allocation calculations. Considering the problem of high time complexity, a wireless resource virtualization method based on Gaussian fitting is proposed. Considering that the fading process experienced by the signal in each channel is independent, it is complicated to analyze the probability distribution of channel capacity separately. Use Gaussian fitting to give the functional relationship of the channel capacity probability distribution, and fit its probability density function
In the process of virtualization, virtual channel capacity is used to hide the complex details and specific implementation of fading channels, abstract resources and directly use them for channel resource allocation, quantify the amount of resources, and solve the problem that network virtual resources are difficult to use for calculation. It facilitates the calculation of the amount of resources in subsequent resource calls, and provides a theoretical basis for the construction of an efficient and stable network architecture system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Wireless resource virtualization method based on Gaussian Fitting
  • Wireless resource virtualization method based on Gaussian Fitting
  • Wireless resource virtualization method based on Gaussian Fitting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0030] Refer to attached figure 1 , the specific steps of the present invention are described as follows.

[0031] Step 1, obtain the channel state transition probability matrix.

[0032] The parameters of the Rayleigh channel are used as the wireless channel parameters.

[0033] Its parameters are set as follows:

[0034] Mean μ=0, variance σ 2 , the probability density function of the Rayleigh channel is Among them, l() represents the probability density function of the Rayleigh channel, z represents a number selected in the interval [0,∞], and exp represents the exponential operation with e as the base.

[0035] Divide the time-varying continuous signal-to-noise ratio value received by the receiving end of the wireless signal receiver into M states at equal intervals, M represents a positive integer selected in the interval [0,∞], and each state corr...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a wireless resource virtualization method based on Gaussian Fitting, which mainly solves a problem of resource virtualization based on Gaussian Fitting in a wireless network. The method comprises the following specific steps: 1, obtaining a channel state transition probability matrix; 2, obtaining probability distribution of channel capacity in a scheduling time slot; 3, performing Gaussian Fitting for probability density of the channel capacity; 4, obtaining channel virtual capacity available for allocation. With the wireless resource virtualization method based on Gaussian Fitting provided by the invention, fitting for a channel capacity probability density function is executed through Gaussian Fitting, complex details and specific implementation of fading channels are hidden by virtual channel capacity, resource capable of being directly used for allocation is extracted, resource is quantified, virtual resource calculation complexity is reduced, and virtual resource allocation efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a Gaussian fitting-based wireless resource virtualization method in the technical field of wireless communication. The invention can virtualize the wireless resources to realize the allocation of virtual resources in the wireless network. Background technique [0002] At present, for the problem that wireless resources are difficult to dynamically allocate and share in traditional wireless networks, in order to realize more flexible allocation of wireless resources, wireless resource virtualization technology is an effective method to solve this problem. Wireless resource virtualization abstracts and isolates wireless resources into virtual resources to form a wireless virtual network, and flexibly allocates wireless resources to users. However, the existing wireless network virtualization technology can only obtain statistical information in one scheduling time slot...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/04H04W72/08H04B17/382H04W72/54
CPCH04B17/382H04W72/0446H04W72/542
Inventor 卢小峰樊思涵程可欣武靖飞蔡阳蔡甲杨鲲张海林
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products