Network Slice Deployment Description Generation for 5G

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Solution Overview

Problem

Current 5G/NR wireless communication systems face challenges in dynamically configuring network slices to meet specific service requirements, leading to inefficient resource allocation and potential over- or under-allocation of resources for communication sessions.

Innovation Solution

A slice offer system generates a custom slice deployment description (SDD) based on location-specific characteristics and service level agreements, allowing for automated configuration of network slice instances (NSIs) that match requested services, thereby enabling deterministic resource allocation and optimized resource utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If fixed slice descriptions are used for network slice configuration, then configuration simplicity is improved, but service adaptability deteriorates

Engineering Contradiction:
Improveconfiguration simplicityVSAvoidservice adaptability
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The system segments the network slice configuration into multiple independent parameters including slice type identifier, deployment parameters, location information, service level agreement terms, and resource requirements. This segmentation allows each parameter to be independently configured and customized, enabling both simple fixed configurations and complex adaptive configurations without increasing overall system complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system transitions from static fixed slice descriptions to dynamic configurable slice descriptions. The network slice configuration can be dynamically adjusted based on service requirements, location-specific characteristics, and service level agreements. This dynamics enables the configuration to adapt to changing service needs while maintaining a structured approach through parameterized templates.

Inventive Principle:
Principle #15Dynamics

2Manufacturing precision

If manual network slice configuration is performed, then configuration accuracy is improved, but productivity deteriorates

Engineering Contradiction:
Improveconfiguration accuracyVSAvoidservice deployment speed
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The system implements self-service automation where the network slice configuration is automatically generated and deployed based on input parameters such as slice type identifier, location information, and service level agreement terms. The system autonomously determines resource allocation, selects appropriate network functions, and configures the slice without manual intervention, thereby maintaining configuration accuracy through standardized processes while dramatically improving deployment productivity.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system incorporates feedback mechanisms that validate configuration parameters against service level agreement terms and resource availability. This feedback loop ensures configuration accuracy by automatically checking and adjusting parameters, while the automated nature of the feedback process maintains high productivity without requiring manual verification steps.

Inventive Principle:
Principle #23Feedback

3Speed

If generic network slice configurations are used, then resource allocation speed is improved, but resource utilization efficiency deteriorates

Engineering Contradiction:
Improveresource allocation speedVSAvoidresource utilization efficiency
Core Design Contradiction:
SpeedVSLoss of energy

Solution Approach 1:

The system applies local quality by tailoring network slice configurations to specific location characteristics and service requirements. Instead of uniform generic configurations, each slice is customized with location-specific parameters, service level agreement terms, and resource allocation settings that match the local demands. This ensures optimal resource utilization efficiency while maintaining fast allocation speeds through automated parameterization.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system utilizes parameter changes to transition from generic to customized configurations. By modifying key parameters such as deployment parameters, location information, and service level agreement terms, the system rapidly generates optimized configurations tailored to specific services. This parameter-driven approach maintains fast allocation speeds while achieving high resource utilization efficiency through precise customization.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11095731B2System and methods for generating a slice deployment description for a network slice instance
Publication Date: 2021.08.17 VERIZON PATENT & LICENSING INC
  • US11095731B2 patent drawing
  • US11095731B2 patent drawing
  • US11095731B2 patent drawing

AI summary

A slice order system may receive a request to generate a network slice configuration for providing a service via a network. The slice offer system may determine a description template associated with a network slice type. The slice offer system may determine, based on the description template and a set of deployment parameters, a description profile for the network slice configuration. The slice offer system may generate, based on the description profile and a location, a slice deployment description for the network slice configuration according to location-specific characteristics associated with resources at the location and a service level agreement associated with the request. The slice offer system may deploy the slice deployment description to permit a network slice instance to be created according to the slice deployment description.