Dynamic Network Slice Selection via AMF-PC_NSS Coordination

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Solution Overview

Problem

Current network slice selection mechanisms in telecommunications networks are inflexible and lack the ability to dynamically allocate UEs to different slices based on changing conditions, leading to static and poorly scalable solutions that cannot adapt to real-time service delivery requirements.

Innovation Solution

Implementing a network node, such as the Access and Mobility Management Function (AMF), which interacts with a Policy Control Network Slice Selection function (PC_NSS) to dynamically select and assign network slices based on up-to-date parameters, load conditions, and business purposes, using Network Slice Routing Rules (NSRR) to manage network slice assignments and reselections.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If static network slice selection mechanisms are used, then implementation simplicity is maintained, but adaptability to changing conditions deteriorates

Engineering Contradiction:
Improveadaptability to changing conditionsVSAvoidcomplexity of selection mechanism
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic network slice selection by enabling the network slice selector to receive updated selection data and re-evaluate network slice assignments in real-time based on changing conditions. The system transitions from static pre-configured selection to dynamic re-evaluation, allowing network slices to be reassigned based on current network state, service requirements, and resource availability.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent establishes a feedback mechanism where the network slice selector receives selection data that includes information about network slice performance, resource utilization, and service quality. This feedback loop enables continuous optimization of network slice assignments by comparing actual performance against selection criteria and making adjustments accordingly.

Inventive Principle:
Principle #23Feedback

2Productivity

If dynamic network slice selection is implemented, then service delivery optimization improves, but computational overhead increases

Engineering Contradiction:
Improveservice delivery efficiencyVSAvoidcomputational resources consumed
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent applies partial action by triggering network slice reselection only when specific events occur or when performance thresholds are breached, rather than continuously re-evaluating all network slices. This event-driven approach reduces unnecessary computational overhead while maintaining service delivery optimization when actually needed.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The patent optimizes computational resources by dynamically adjusting selection parameters and criteria based on network conditions. The system modifies which parameters are evaluated and at what frequency, reducing computational burden during stable conditions while intensifying evaluation when service quality degradation is detected.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If network slice reselection is performed frequently, then service quality is maintained, but network signaling overhead increases

Engineering Contradiction:
Improveservice quality consistencyVSAvoidnetwork signaling overhead
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent implements periodic reevaluation with configurable intervals, allowing network slice selections to be updated at regular intervals rather than continuously. This periodic approach maintains service quality by ensuring timely reselection while reducing signaling overhead by spacing out reevaluation events and avoiding excessive updates during stable periods.

Inventive Principle:
Principle #19Periodic action

4Measurement precision

If multiple network slice criteria are evaluated, then selection precision improves, but processing complexity increases

Engineering Contradiction:
Improvenetwork slice selection accuracyVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the network slice selection process into multiple independent evaluation stages, each assessing specific criteria such as service requirements, network resources, and performance metrics. This segmentation allows complex multi-criteria evaluation to be broken down into manageable components, improving selection accuracy while organizing processing complexity into structured, modular stages.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12389315B2Network slice selection
Publication Date: 2025.08.12 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
  • US12389315B2 patent drawing
  • US12389315B2 patent drawing
  • US12389315B2 patent drawing

AI summary

Network nodes and methods for control thereof for dynamic network slice selection. An AMF receives a UE request originating from the UE, the UE request being any one of a registration request and a session request. A network slice requester controls a transmitter to transmit a network slice selection request to a PC_NSS. A selection data manager of the PC_NSS determines selection data specifying one or more UE specific parameters affecting network slice selection. A network slice selector selects a network slice assignable for the UE, based on the selection data, determines network slice data and a corresponding network slice routing rule, and transmits them to the AMF. A network slice manager of the AMF controls assignment of a network slice to the UE in dependence on the received network slice data and network slice routing rule.