Dynamic MSD Reporting for 5G UE Self-Interference
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Solution Overview
Problem
Current mobile communication systems, particularly in 5G networks, face challenges with maximum sensitivity degradation (MSD) due to self-interference issues like uplink harmonics, harmonic mixing, and intermodulation distortion, leading to conservative carrier aggregation configurations that may not accurately reflect individual user equipment (UE) performance, resulting in potential call drops and network capacity inefficiencies.
Innovation Solution
User equipment (UE) measures and reports MSD values dynamically during runtime, using self-interference estimation methods like cross-correlation, to optimize MSD values based on actual performance, reducing safety margins and improving accuracy, thereby enhancing network capacity and preventing premature carrier aggregation configuration drops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conservative carrier aggregation configurations are used to address self-interference issues, then reliability is improved, but network capacity and productivity deteriorate
Solution Approach 1:
The patent implements dynamic MSD value reporting where the user equipment continuously monitors actual self-interference levels and updates the Maximum Sensitivity Degradation values in real-time. This dynamic adjustment allows the system to adapt carrier aggregation configurations based on actual operational conditions rather than using static conservative values, thereby improving network capacity while maintaining call drop prevention.
Solution Approach 2:
The patent establishes a feedback mechanism where the user equipment measures actual self-interference levels during operation and uses these measurements to update and refine MSD values. This feedback loop enables the system to learn from actual performance data and adjust configurations accordingly, resolving the contradiction between reliability and network capacity by replacing conservative estimates with data-driven optimizations.
2Device complexity
If static MSD values are reported based on manufacturer data, then device complexity is reduced, but measurement precision and accuracy deteriorate
Solution Approach 1:
The patent incorporates preliminary manufacturer-provided MSD values as initial estimates, which simplifies the initial device configuration. However, these preliminary values are subsequently refined through runtime self-measurements and updates, allowing the system to maintain low initial complexity while achieving high measurement precision through continuous improvement.
Solution Approach 2:
The patent enables the user equipment to perform self-measurements of self-interference levels and autonomously update its own MSD values without requiring external calibration or complex measurement infrastructure. This self-service capability maintains device simplicity while significantly improving measurement accuracy through practical operational data collection.
3Reliability
If safety margins are increased in carrier aggregation configurations, then reliability is improved, but device performance and productivity deteriorate
Solution Approach 1:
The patent dynamically adjusts the MSD parameter values based on actual measured self-interference levels. By changing these parameters from static conservative values to dynamic data-driven values, the system optimizes the balance between configuration stability and UE performance, allowing for reduced safety margins when actual interference levels are low while maintaining reliability when interference is detected.
Data Source
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AI summary
Systems, methods, apparatuses, and computer program products for reporting by a user equipment of maximum sensitivity degradation and relaxation values thereof. A method comprises receiving a request message related to capability of the apparatus, wherein the request message includes maximum sensitivity degradation information of the apparatus corresponding to an operational situation of the apparatus; responding to the request message with a response message, wherein the response message indicates the maximum sensitivity degradation value corresponding to said operational situation of the apparatus; and utilizing self-measurements during said operational situation of the apparatus to determine a new maximum sensitivity degradation value which replaces the current maximum sensitivity degradation value corresponding to the operational situation of the apparatus.