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

Resource allocation method and system for improving network quality in multi-slice network

A resource allocation and network quality technology, applied in the field of network quality assessment

Active Publication Date: 2020-08-18
STATE GRID ECONOMIC TECH RES INST CO +3
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is no resource allocation method that can effectively utilize wireless resources in the prior art

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
  • Resource allocation method and system for improving network quality in multi-slice network
  • Resource allocation method and system for improving network quality in multi-slice network
  • Resource allocation method and system for improving network quality in multi-slice network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0095] Based on the above description, if figure 2 As shown, the resource allocation method for improving network quality in a multi-slice network provided by the present invention includes the following steps:

[0096] 1) Slice the heterogeneous network to be tested according to the user's business needs, and model the resource allocation problem that affects the network quality of each slice, and establish a resource allocation model for each slice, specifically:

[0097] 1.1) According to user service requirements, the heterogeneous network to be tested is sliced ​​into rate-priority slices and delay-priority slices.

[0098] 1.2) Set the resources that tenant 1 uses to control rate-first slicing, and tenant 2 that controls the resources that delay-priority slicing. Aiming at the problem of resource allocation that affects the network quality of each slice, with the goal of scoring the network services of the two tenants, establish each The slice corresponds to the non-co...

Embodiment 2

[0206] This embodiment provides a resource allocation system for improving network quality in a multi-slice network, including:

[0207] The resource allocation model building module is used to slice the heterogeneous network to be tested, and model the resource allocation problem that affects the network quality of each slice, and establish the resource allocation model of each slice;

[0208] An approximate convex function determination module is used to process non-convex functions in each resource allocation model to obtain an approximate convex function of each resource allocation model;

[0209] The continuous convex approximation module is used to solve the approximate convex objective function of the resource allocation model of each slice by using the continuous convex approximation algorithm under the condition that the tenants corresponding to each slice equally share the total subcarriers, and determine the Optimal slice resource allocation strategy and scoring cri...

Embodiment 3

[0215] A computer program, including computer program instructions, wherein, when the computer program instructions are executed by a processor, they are used to implement the steps corresponding to the resource allocation method for improving network quality in a multi-slice network.

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 relates to a resource allocation method and system for improving the network quality in a multi-slice network, and the method is characterized in that the method comprises the followingsteps: 1) slicing a to-be-tested heterogeneous network, and building a resource allocation model of each slice; 2) obtaining an approximate convex function of each resource allocation model; 3) underthe condition that the tenant corresponding to each slice equally divides the total subcarriers, solving an approximate convex objective function of each slice resource allocation model by adopting acontinuous convex approximation algorithm according to the number of the subcarriers of each slice, and determining an optimal slice resource allocation strategy and a scoring standard of each slice;4) under the condition that the tenant corresponding to each slice does not equally divide the total subcarrier, solving the approximate convex objective function of each slice resource allocation model by adopting a non-cooperative game method according to the number of subcarriers of each slice, determining the optimal slice resource allocation strategy and scoring standard of each slice, and the method can be widely applied to the technical field of network quality evaluation.

Description

technical field [0001] The invention relates to a resource allocation method and system for improving network quality in a multi-slice network, and belongs to the technical field of network quality assessment. Background technique [0002] The comprehensive index evaluation of the communication network is mainly composed of the overall network utility quality and the network comprehensive performance score. The overall network utility quality evaluation index reflects the utility value of the current network from the perspective of network quality, avoiding the tedious work of checking indicators one by one; the network comprehensive performance The score combines various types of network indicators through normalization to present the performance of all aspects of the network, which can speed up the positioning of specific KPIs (key performance indicators) that affect network quality. [0003] At present, there has been some research on the performance evaluation of the net...

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
IPC IPC(8): H04W24/06H04W72/08
CPCH04W24/06H04W72/542Y02D30/70
Inventor 江璟王玉东辛培哲马腾滕袁思雨张勇郑伟军邵炜平王文华陈鼎方景辉吴国庆唐锦江杨鸿珍
Owner STATE GRID ECONOMIC TECH RES INST CO
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