5G network slice resource allocation method

A network slicing and resource allocation technology, applied in the field of 5G network slicing resource allocation, can solve the problems of being unable to meet different user service requests, ignoring user service quality, and small base station coverage, so as to achieve rapid resource allocation, good real-time performance and Global selectivity, the effect of improving expected returns

Pending Publication Date: 2022-02-18
NANJING UNIV OF SCI & TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the disadvantage of this method is that it only guarantees the interests between most users and access providers, and a small number of mobile users will get very poor service quality, or even not receive service
However, this method has three deficiencies. First, in reality, the coverage of base stations is small, the setting density is high, and the service range is far smaller than the assumed range of this method. Second, there are differences between different users. Considering the allocation of bandwidth resources at the first level, it is easy to ignore the quality of service of users; third, only the resource allocation method between network slice access providers is given, and the resource allocation among mobile users is not involved
[0006] In short, the existing 5G network slicing resource allocation methods have the problems of complex implementation process, low spectrum utilization, and inability to meet different user service requests.

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
  • 5G network slice resource allocation method
  • 5G network slice resource allocation method
  • 5G network slice resource allocation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0074] The specific conditions of this example are: the number of mobile users N within the coverage of a single physical macro base station is set to 12, the number of slices M is set to 3, that is, 3 network slices obtain spectrum resources from the physical macro base station to provide 12 mobile users Different data transfer services. In the simulation environment where the signal-to-noise ratio (SNR) is 1db to 20db, the channel fading obeys the Rayleigh distribution.

[0075] Based on the above experimental conditions, first obtain the delay sensitivity of different users, and quantify it as Then, the service request A made by the mobile user n assigned to different network slices. After the network slice receives the service request, it calculates the cost function μ m (ω m ), and sequentially update the virtual price ω m and penalty factor q m , until the virtual price converges, the base station allocates spectrum resource b according to the virtual price m Sli...

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 5G network slice resource allocation method which is simple in implementation process, high in spectrum utilization rate and capable of meeting service requests of different users. The method comprises the following steps: (10) user communication time delay sensitivity acquisition: acquiring the sensitivity of a mobile user to communication time delay in a 5G wireless network slice, and performing data quantization on the sensitivity; (20) user service request distribution: distributing service requests proposed by mobile users to different network slices; (30) base station spectrum resource allocation: allocating the spectrum resources of the base station to different network slices by using a generalized Kailey algorithm and taking minimization of user transmission delay as a target cost function; (40) user spectrum resource allocation: further dividing the base station spectrum resources allocated to different network slices by using a Lyapunov algorithm, so that each mobile user obtains the required spectrum resources; and (50) data transmission: the user completes data transmission according to the obtained spectrum resources.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method for allocating 5G network slice resources. Background technique [0002] Wireless network slicing, or network virtualization, is one of the potential technologies to address the rapidly growing demand for mobile data services associated with 5G cellular networks. Network slicing technology has been widely used in the transmission service of network information data. Each slice can be regarded as a logical network with complete functions, which is the key technology to realize network flexibility and scalability, and reduce network operation and maintenance costs while improving network security. However, due to the on-demand networking characteristics of wireless network slicing, the fixed networking mode fails, and the resource allocation technology between base stations and mobile users has become an important problem to be solved urgently. ...

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): H04L41/5041H04L41/5051H04L41/0894H04L41/0896H04W72/04
CPCH04L41/5041H04L41/5051H04L41/0893H04L41/0896H04W72/0453
Inventor 李乐钱玉文时龙马川李骏詹勇杰
Owner NANJING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products