NR Measurement Cycle Parameters for Processing Time Conflicts
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Solution Overview
Problem
Existing methods for determining measurement cycles in wireless communication systems fail to effectively address conflicts between measurement objects due to processing time limitations, particularly in the NR system, leading to inefficient and sometimes incorrect measurement periods.
Innovation Solution
A method for determining measurement parameters that considers the processing times of multiple measurement objects, optimizing measurement cycles by accounting for conflicts and prioritizing low-priority objects, thereby avoiding simultaneous measurement conflicts and improving measurement reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If measurement cycles are determined without considering processing time conflicts, then measurement configuration is simple, but measurement reliability deteriorates due to simultaneous measurement conflicts
Solution Approach 1:
The patent applies preliminary action by determining processing times for multiple measurement objects in advance and using these pre-determined values to calculate measurement parameters. The terminal device obtains processing times for first, second, and third measurement objects before determining the measurement parameter, allowing conflicts to be avoided proactively rather than reactively. This ensures measurement reliability by preventing simultaneous measurement conflicts before they occur.
Solution Approach 2:
The patent implements dynamics by making the measurement parameter determination adaptive based on processing time characteristics. The measurement parameter is dynamically adjusted according to the processing times of different measurement objects, allowing the system to optimize measurement cycles based on actual processing requirements rather than using fixed predetermined cycles. This dynamic approach resolves the contradiction by adapting complexity to actual needs.
2Reliability
If measurement cycles are extended to accommodate processing times, then measurement conflicts are reduced, but measurement precision deteriorates due to longer intervals
Solution Approach 1:
The patent applies parameter changes by determining measurement parameters based on processing time characteristics of different measurement objects. Instead of using fixed extended measurement cycles, the system dynamically adjusts measurement parameters (such as measurement cycle length) according to the specific processing times required. This allows the system to use the minimum necessary measurement interval for each object, avoiding unnecessary extensions that would degrade measurement precision while still preventing conflicts.
Solution Approach 2:
The system dynamically optimizes measurement cycles by calculating them based on actual processing times rather than using conservative fixed intervals. The measurement parameter determination is adaptive, adjusting cycle lengths to match actual processing requirements. This dynamic optimization prevents measurement conflicts while minimizing interval extensions, thereby maintaining measurement precision.
3Productivity
If multiple measurement objects are processed simultaneously, then productivity is high, but measurement reliability deteriorates due to resource conflicts
Solution Approach 1:
The patent applies preliminary action by determining processing times for all measurement objects in advance and using these pre-determined values to calculate measurement parameters that prevent conflicts. The terminal device obtains processing times for multiple measurement objects before determining measurement parameters, allowing the system to plan measurement schedules proactively. This enables efficient parallel processing while maintaining reliability by avoiding simultaneous conflicts through advance planning.
Solution Approach 2:
The system dynamically adjusts measurement parameters based on processing time characteristics of different measurement objects. Instead of using fixed measurement cycles, the system adapts measurement timing to match actual processing requirements of each object. This dynamic optimization allows maximum parallel processing efficiency while preventing resource conflicts by adjusting measurement schedules to actual processing needs.
Data Source
AI summary
The present application relates to a measurement parameter determination method, a terminal device, a chip, and a storage medium, the method comprising: on the basis of the processing time of a plurality of measurement objects, determining measurement parameters of a target measurement object amongst the plurality of measurement objects, the measurement parameters being used for determining the measurement cycle of the target measurement object.


