5G Network Slicing with Blockchain Traceability and AI Resource Inferencing

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Solution Overview

Problem

Current technologies face challenges in achieving traceability and optimal resource allocation in 5G network slicing, particularly in complex mobility settings and IoT networks, where orchestration, resource management, and security are compromised, especially in configuring and deploying network resources within an informed 5G supply chain.

Innovation Solution

The integration of multi-access edge computing (MEC) with blockchain traceability and AI-based analytics for dynamic resource management, enabling on-demand 5G network slice instance deployments and reconfigurations, while leveraging public key encryption for secure resource utilization and AI-driven inferencing for predictive resource allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If distributed ledger (blockchain) technology is integrated for traceability in 5G network slicing, then security and traceability are improved, but device complexity and processing overhead increase

Engineering Contradiction:

ImprovetraceabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a distributed ledger network as an intermediary layer between network slice instances and resource management systems. This mediator provides immutable traceability of resource allocation and usage without requiring direct integration between all system components, thereby improving security while managing complexity through modular architecture.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments traceability functionality into modular components distributed across the blockchain network. Each network slice instance and resource management entity maintains localized tracking capabilities while contributing to the overall distributed ledger, reducing the complexity burden on any single component.

Inventive Principle:

Principle #1Segmentation

2Productivity

If AI-based analytics and inferencing are deployed for resource utilization optimization, then resource allocation efficiency is improved, but use of energy and computational resources increase

Engineering Contradiction:

Improveresource allocation efficiencyVSAvoidcomputational energy consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent implements AI-based analytics selectively at strategic points in the network architecture rather than uniformly across all components. Inferencing is applied to critical resource allocation decisions and predictive scenarios, achieving significant efficiency improvements while avoiding the excessive energy consumption that would result from comprehensive AI deployment throughout the entire system.

Inventive Principle:

Principle #16Partial or excessive action

3Adaptability or versatility

If on-demand network slice instance deployment is enabled for dynamic services, then adaptability is improved, but orchestration complexity and management overhead increase

Engineering Contradiction:

Improvedynamic deployment capabilityVSAvoidorchestration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic network slice instance deployment where slice configurations can be created, modified, and terminated on-demand based on service requirements. The system uses automated orchestration mechanisms that adapt resource allocation in real-time, enabling high adaptability while managing complexity through event-driven architecture and self-organizing network functions.

Inventive Principle:

Principle #15Dynamics

4Reliability

If public key encryption is implemented for secure resource utilization, then security is improved, but processing speed and operational efficiency decrease

Engineering Contradiction:

ImprovesecurityVSAvoidoperational efficiency

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent implements public key encryption infrastructure in advance, establishing cryptographic key pairs and digital certificates before resource allocation operations occur. This preliminary setup enables secure resource utilization without requiring complex real-time cryptographic operations during normal operations, thereby maintaining both security and operational efficiency.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11711267B25G network slicing with distributed ledger traceability and resource utilization inferencing

Publication Date: 2023.07.25 INTEL CORP

AI summary

Various systems and methods for implementing an edge computing system to realize 5G network slices with blockchain traceability for informed 5G service supply chain are disclosed. A system configured to track network slicing operations includes memory and processing circuitry configured to select a network slice instance (NSI) from a plurality of available NSIs based on an NSI type specified by a client node. The available NSIs uses virtualized network resources of a first network resource provider. The client node is associated with the selected NSI. The utilization of the network resources by the plurality of available NSIs is determined using an artificial intelligence (AI)-based network inferencing function. A ledger entry of associating the selected NSI with the client node is recorded in a distributed ledger, which further includes a second ledger entry indicating allocations of resource subsets to each of the NSIs based on the utilization.