Adaptive Network Slice Configuration for Dynamic Resource Allocation

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Solution Overview

Problem

Conventional network slicing approaches are agnostic to network context, leading to compromised service quality and improper resource allocation, as they rely on pre-defined proportions for latency and resource allocation across network segments, failing to adapt to dynamic user entitlements and network conditions.

Innovation Solution

A method and system for adaptive determination of network slice configuration and resource requirement, which creates a service requirement set based on user entitlements and dynamic network context, determining enhancements and adjustments to service characteristics, performance requirements, and dimensions, and generating an updated service requirement set to optimize network slice template hierarchy and resource allocation across network sub-nets.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If pre-defined proportions are used for resource allocation across network segments, then resource allocation is simple and deterministic, but service quality is compromised and resource allocation becomes improper

Engineering Contradiction:

Improveresource allocation simplicityVSAvoidservice quality

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The patent implements dynamic network slicing where resource allocation ratios are adjusted in real-time based on network conditions and service requirements. The system transitions from static pre-defined proportions to dynamic adaptive allocation, allowing the network to respond to changing demands while maintaining service quality.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the parameter of resource allocation ratios from fixed values to variable values that adapt based on network context. By modifying these parameters dynamically, the system achieves both simplicity through automated adjustment and reliability through context-aware allocation.

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If conventional network slicing approaches are used, then implementation is straightforward, but the system becomes agnostic of network context leading to compromised service quality

Engineering Contradiction:

Improveimplementation simplicityVSAvoidnetwork context awareness

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent introduces feedback mechanisms where the network slicing system continuously monitors network context and service performance, then adjusts slicing configurations accordingly. This feedback loop enables the system to maintain simplicity of operation while becoming aware of and responsive to network context.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system implements self-service capabilities where the network automatically adjusts slice configurations based on monitored conditions without requiring manual intervention. This maintains ease of operation while achieving adaptability through automated context-aware decision-making.

Inventive Principle:

Principle #25Self-service

3Stability of the object's composition

If static network slicing is used, then network configuration is stable, but it cannot cater to high throughput, low latency, high device density and diverse service types

Engineering Contradiction:

Improvenetwork configuration stabilityVSAvoidservice delivery capability

Core Design Contradiction:

Stability of the object's compositionVSProductivity

Solution Approach 1:

The patent transitions from static to dynamic network slicing, allowing the network configuration to adapt in real-time to different service requirements. This enables the network to maintain stability through controlled changes while achieving high productivity through optimized resource allocation for diverse service types.

Inventive Principle:

Principle #15Dynamics

4Measurement precision

If pre-defined resource allocation ratios are used, then resource distribution is deterministic, but service request refusal increases due to improper allocation

Engineering Contradiction:

Improveresource allocation determinismVSAvoidservice request fulfillment

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The system changes resource allocation from fixed deterministic ratios to dynamically adjusted ratios based on actual network conditions and service requirements. This improves service request fulfillment while maintaining a form of determinism through rule-based adaptive allocation.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11563652B2Method, system, and device for adaptive determination of network slice configuration and resource requirements

Publication Date: 2023.01.24 WIPRO LTD

AI summary

A method and system for adaptive determination of network slice configuration and resource requirement is disclosed. The method includes creating a service requirement set based on a service request. The method further includes determining enhancements and adjustments to be done in the service requirement set based on a plurality of user entitlements corresponding to the user associated with the service request. The method further includes generating an updated service requirement set based on the enhancements and adjustments applied on the service requirement set. The method further includes determining a network slice template hierarchy based on the updated service requirement set. The method further includes determining a resource requirement corresponding to each of the plurality of network sub-nets based on the updated service requirement set, the plurality of user entitlements, and dynamic network context.