QoS-Triggered Mobile Network Reselection for Satellite Service Continuity

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Solution Overview

Problem

Existing mobile communication devices in satellite networks face challenges in network selection due to intermittent coverage and QoS issues, leading to service rejections and delayed switching to alternative networks, especially when relying on GEO satellite networks for latency-sensitive services like VoIMS.

Innovation Solution

Implementing a QoS-triggered network selection mechanism in UE processing circuitry to immediately scan for and switch to a new network that meets the required Quality of Service (QoS) when the current network cannot support the desired service, using decreased timer values and background scans to ensure seamless service continuity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If periodic network scanning is used to find higher-priority networks, then network selection flexibility is improved, but battery life deteriorates due to frequent scanning

Engineering Contradiction:

Improvenetwork selection flexibilityVSAvoidbattery life

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The UE performs network scanning and evaluation in advance during idle periods before QoS degradation occurs, preparing alternative network options ahead of time. This preliminary action allows the UE to switch networks proactively when QoS deteriorates, avoiding the need for continuous high-frequency scanning while maintaining network selection flexibility.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The UE continuously monitors QoS parameters (latency, throughput, packet loss) and uses this feedback to trigger network reselection only when degradation is detected. This feedback mechanism replaces constant scanning with event-driven scanning, reducing energy consumption while maintaining adaptability to network conditions.

Inventive Principle:

Principle #23Feedback

2Reliability

If frequent network scanning is performed to ensure optimal connectivity, then service availability is improved, but signaling traffic and network load increase

Engineering Contradiction:

Improveservice availabilityVSAvoidsignaling traffic

Core Design Contradiction:

ReliabilityVSObject-generated harmful factors

Solution Approach 1:

The network monitors QoS parameters and provides feedback to the UE about service quality. The UE uses this feedback to determine when network reselection is necessary, triggering scanning only when QoS degradation is detected. This reduces unnecessary signaling traffic while maintaining service availability through event-driven rather than continuous scanning.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

Instead of performing full network scanning continuously, the UE performs partial scanning only when QoS triggers reselection. This partial action approach reduces signaling traffic volume while still ensuring service availability by scanning only when necessary based on QoS conditions.

Inventive Principle:

Principle #16Partial or excessive action

3Speed

If LEO satellite network is set as highest-priority network, then latency performance is improved, but coverage availability deteriorates due to intermittent coverage

Engineering Contradiction:

ImprovelatencyVSAvoidcoverage availability

Core Design Contradiction:

SpeedVSReliability

Solution Approach 1:

The UE dynamically changes network priority parameters based on real-time QoS monitoring and coverage conditions. When LEO coverage is unavailable or QoS deteriorates, the UE temporarily adjusts priority settings to allow fallback to GEO or other networks, then restores LEO as highest priority when coverage becomes available. This dynamic parameter adjustment maintains low latency when possible while ensuring coverage availability when needed.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The network selection priorities are made dynamic rather than static. The UE continuously monitors QoS parameters and coverage availability, adjusting network priority rankings in real-time based on current conditions. This dynamic approach allows the system to adapt between LEO's low latency advantage and GEO's reliable coverage availability as conditions change.

Inventive Principle:

Principle #15Dynamics

4Reliability

If QoS-triggered network reselection is implemented, then service quality is improved, but device complexity increases

Engineering Contradiction:

Improveservice qualityVSAvoidnetwork selection logic

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The QoS monitoring and evaluation framework is designed to be universal, handling multiple network types (LEO, GEO, terrestrial) and service types (voice, data, video) through a single unified mechanism. The same QoS parameters and evaluation logic apply across different network scenarios, reducing the need for separate specialized handling and thereby limiting complexity increase despite improved service quality.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentEP4637216A1Qos-triggered network selection or reselection

Publication Date: 2025.10.22 DEUTSCHE TELEKOM AG

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AI summary

Provided is a concept for selecting a new mobile communication network based on a Quality of Service (QoS) requirement of a service desired by a UE which is currently registered with a current mobile communication network which cannot meet the QoS requirement.