Proactive Cell Reselection Using WLAN-Assisted QoS Metrics

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Solution Overview

Problem

Conventional cell reselection processes in mobile devices often result in dropped calls due to radio link failures before a suitable alternative cell can be selected, as they rely on carrier preferences and do not proactively assess the quality of service of neighboring cells.

Innovation Solution

The use of access point information from wireless local area networks to calculate quality of service metrics based on call logs from mobile devices, allowing proactive cell reselection to a candidate cell with better service quality before a radio link failure occurs, independent of carrier preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional cell reselection processes are used, then carrier preferences are maintained, but radio link failures occur before suitable alternative cells can be selected

Engineering Contradiction:
Improvecall reliabilityVSAvoidtime to select alternative cell
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by proactively assessing the quality of service of neighboring cells before radio link failures occur. The mobile device collects and stores quality of service metrics for multiple cells in advance, enabling rapid selection when needed without waiting for failure to manifest.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring and collecting quality of service metrics from call logs and network information. This feedback loop allows the mobile device to learn about cell performance patterns and make informed reselection decisions based on actual service quality data.

Inventive Principle:
Principle #23Feedback

2Reliability

If cell reselection waits for radio link failure, then carrier preferences are respected, but dropped calls occur

Engineering Contradiction:
Improvecommunication reliabilityVSAvoiddropped calls
Core Design Contradiction:
ReliabilityVSObject-generated harmful factors

Solution Approach 1:

The system applies preliminary anti-action by taking preemptive measures to prevent dropped calls before they occur. By assessing neighboring cell quality in advance and preparing reselection decisions, the system counteracts the harmful effect of radio link failures before they can cause call drops.

Inventive Principle:
Principle #9Preliminary anti-action

Solution Approach 2:

The mobile device performs preliminary assessment of candidate cells by collecting and analyzing quality of service metrics before actual reselection is needed. This advance preparation ensures that when a radio link failure occurs, a suitable alternative cell can be selected immediately, preventing call drops.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If proactive cell reselection is implemented, then dropped calls are reduced, but quality of service assessment complexity increases

Engineering Contradiction:
Improvecall reliabilityVSAvoidquality assessment complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the quality of service assessment into distinct components: collecting call log data, extracting quality metrics, storing performance information, and making reselection decisions. This segmentation reduces overall complexity by breaking down the assessment process into manageable, independent tasks.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The mobile device performs self-service by autonomously collecting, analyzing, and utilizing quality of service information for its own reselection decisions. The device leverages its existing capabilities to process call logs and network information without requiring external intervention, reducing system complexity.

Inventive Principle:
Principle #25Self-service

4Ease of manufacture

If carrier preferences are used for cell selection, then network management is simplified, but service quality may deteriorate

Engineering Contradiction:
Improvenetwork management simplicityVSAvoidservice quality
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The system introduces dynamics by transitioning from static carrier preferences to dynamic quality-based reselection. The mobile device adapts its cell selection behavior based on real-time quality of service metrics, allowing service quality to drive decisions rather than fixed carrier preferences.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the selection parameter from carrier preference (static) to quality of service metric (dynamic). By using measurable quality parameters such as call success rates and network performance data, the system enables data-driven cell selection that improves service quality while maintaining manageable network operations.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9980195B2Cell reselection based on information collected from a plurality of mobile devices
Publication Date: 2018.05.22 APPLE INC
  • US9980195B2 patent drawing
  • US9980195B2 patent drawing
  • US9980195B2 patent drawing

AI summary

Data provided by an access point of a wireless local area network (“WLAN”) is used to assist a mobile device in cell reselection. If a serving cell of a cellular communications network is unsuitable for providing cellular service, a candidate cell co-located with the serving cell can be selected as the serving cell based on quality of service metrics associated with the serving cell and the candidate cell. The mobile device can be proactively commanded to switch to the candidate cell for receiving cellular service. In some implementations, the quality of service metrics are calculated from call logs collected from mobile devices operating in the cellular communications network. In some implementations, network information regarding serving cell performance can be used with the call logs to generate the quality of service metrics.