Application-Aware Cell Selection Using Historical Cell Metrics
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Solution Overview
Problem
Existing wireless communication systems struggle to accurately select cells that provide optimal service for the specific application and device context of a wireless device, leading to inefficiencies and increased power consumption.
Innovation Solution
A wireless device obtains cell performance information based on historical data and crowdsourced metrics, considering application and service context to select a cell that meets configured criteria, prioritizing cells with better scores for the current application and service needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional cell selection methods are used, then device complexity is reduced, but Quality of Service (QoS) for specific applications deteriorates
Solution Approach 1:
The system pre-collects and stores cell performance information from multiple sources (historical data, crowdsourced data, real-time measurements) before actual cell selection is needed. This preliminary preparation allows the device to quickly compare pre-evaluated cell options based on current application context, improving QoS while managing complexity through advance preparation
Solution Approach 2:
The cell selection process dynamically adapts to different application contexts (e.g., voice calls, data transmission, video streaming) by adjusting which cell performance metrics are prioritized. The system flexibly weights different performance parameters based on the active application's requirements, enabling optimized QoS for diverse scenarios without requiring a completely different selection mechanism for each application
2Measurement precision
If comprehensive cell performance information is collected and processed, then cell selection accuracy improves, but power consumption increases
Solution Approach 1:
The system merges multiple sources of cell performance information (historical data from the device, crowdsourced data from other devices, and real-time measurements) into a unified evaluation framework. This consolidation allows comprehensive cell assessment without requiring the device to independently collect and process all information from scratch, reducing computational overhead and power consumption while maintaining high selection accuracy
Solution Approach 2:
The system performs partial cell selection based on current application context requirements rather than evaluating all possible cell parameters equally. For example, when a voice call application is active, the system focuses primarily on signal quality and stability metrics rather than maximizing data throughput parameters, reducing the scope of analysis and associated power consumption while maintaining accuracy for the specific use case
Data Source
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AI summary
This disclosure relates to techniques for performing application context aware cell selection in a wireless communication system. A wireless device may determine (502) a current location of the wireless device. The wireless device may determine (504) cells associated with the current location of the wireless device. Application context based metric information may be determined (506) for the cells associated with the current location of the wireless device. The wireless device may determine (508) a cell with which to associate from the cells associated with the current location of the wireless device based at least in part on the application context based metric information.