Wireless resource virtualization method based on Gaussian fitting

Abstract

The invention discloses a Gaussian fitting-based wireless resource virtualization method, which mainly solves the problem of Gaussian fitting-based resource virtualization in a wireless network. The specific steps include: 1. Obtaining the channel state transition probability matrix; 2. Obtaining the probability distribution of the channel capacity in the scheduling time slot; 3. Performing Gaussian fitting on the probability density of the channel capacity; 4. Obtaining the channel virtual capacity available for allocation. The present invention adopts the wireless resource virtualization method based on Gaussian fitting, utilizes Gaussian fitting, fits the channel capacity probability density function, uses the virtual channel capacity to hide the complex details and specific implementation of the fading channel, and abstracts that can be directly used in Allocated resources, quantified resources, reduce the computational complexity of virtual resources, and improve the efficiency of virtual resource allocation.

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...

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

Images