UE Network Slice Assistance for Predictive Mobility Planning

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Solution Overview

Problem

Current wireless communication systems, particularly in 5G NR, lack efficient mechanisms for UE to provide historical and predictive information about network slice usage, which can lead to suboptimal resource allocation and mobility management.

Innovation Solution

A method where user equipment (UE) stores and calculates the usage history and probability of future network slices, and transmits this information to network nodes or entities, allowing for dynamic configuration of network slice structures and assistance in mobility decisions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the UE provides detailed historical and predictive network slice usage information to the network, then the network can make more informed resource allocation and mobility management decisions, but the UE complexity increases due to the need to store and calculate usage histories and probabilities

Engineering Contradiction:
Improveresource allocation efficiencyVSAvoidUE complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The UE performs preliminary actions by storing historical network slice usage information and calculating probability values for future slice usage before actual mobility events occur. This advance preparation enables the network to make more accurate predictions and resource allocations without requiring complex real-time analysis at the UE during critical moments.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The mechanism establishes a feedback loop where the UE continuously monitors and reports actual network slice usage, which then refines future probability calculations. This feedback-driven approach allows the UE to learn from past behavior patterns and improve its predictive accuracy over time, balancing the complexity burden with improved performance.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If the UE stores and processes extensive historical usage data and calculates future usage probabilities, then mobility management accuracy improves, but the time required for data processing and decision-making increases

Engineering Contradiction:
Improveusage prediction accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The UE performs preliminary calculations of usage probabilities based on historical data in advance, so that when mobility decisions need to be made, the network already has pre-computed prediction values ready for quick reference. This eliminates the need for time-consuming real-time analysis during critical mobility events.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses partial action by focusing on calculating and storing only the most relevant usage probability metrics rather than processing every conceivable data point. This selective approach maintains sufficient prediction accuracy while significantly reducing the computational time and data storage requirements.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If the network configures network slice structures dynamically based on UE assistance information, then network efficiency improves, but the signaling overhead and network complexity increase

Engineering Contradiction:
Improvenetwork efficiencyVSAvoidnetwork complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The UE provides preliminary assistance information about historical and predicted slice usage patterns before actual network configuration changes are needed. This allows the network to pre-plan and prepare slice configurations in advance, reducing the need for complex real-time signaling and dynamic reconfiguration during mobility events.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The mechanism enables a form of self-service where the UE autonomously collects, stores, and calculates its own usage patterns and provides this information proactively to the network. This reduces the burden on the network to perform complex analysis of UE behavior, thereby reducing network-side complexity while still achieving efficient adaptive configuration.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12349052B2UE assistance information for slices
Publication Date: 2025.07.01 QUALCOMM INC
  • US12349052B2 patent drawing
  • US12349052B2 patent drawing
  • US12349052B2 patent drawing

AI summary

Aspects present herein relate to methods and devices for wireless communication including an apparatus, e.g., a UE. The apparatus may transmit, to at least one of a network node or a network entity, an indication of one or more future network slices, an indication of one or more current network slices, and/or an indication of one or more past network slices, the future network slices corresponding to network slices for potential future use by the UE, the current network slices corresponding to network slices that are currently used by the UE, the past network slices corresponding to network slices that were previously used by the UE. The apparatus may also receive, from the network entity, a response to the indication of the one or more future network slices, the indication of the one or more current network slices, and/or the indication of the one or more past network slices.