Multi-TRP Measurement Relaxation for RLM and BFD
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Solution Overview
Problem
Current RLM and BFD measurement methods are limited to single-object scenarios and are not applicable in multi-TRP environments, leading to suboptimal measurement performance by terminals.
Innovation Solution
Implement measurement relaxation methods, including RLM, BFD, and RRM relaxation, for terminals and network side devices to adapt to multi-object scenarios by configuring measurement relaxation on a target object within a plurality of objects, such as TRPs, cells, or RS sets, through flexible relaxation criteria and reporting mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement methods are limited to single-object scenarios (current RLM and BFD methods), then device complexity is reduced and ease of operation is maintained, but measurement precision and reliability deteriorate in multi-TRP environments
Solution Approach 1:
The patent segments the measurement process by introducing separate measurement relaxation configurations for different objects (TRPs, cells, RS sets). Each object can have its own measurement relaxation parameters, allowing independent optimization of measurement precision for each object while managing complexity through modular configuration.
Solution Approach 2:
The patent implements dynamic measurement relaxation where measurement configurations can be adjusted based on terminal conditions and network requirements. The measurement relaxation parameters can be dynamically modified through RRC reconfiguration, allowing the system to adapt measurement precision and complexity in real-time based on operational needs.
2Reliability
If measurement relaxation is implemented on multiple objects simultaneously, then measurement precision in multi-TRP environments is improved, but device complexity and configuration overhead increase
Solution Approach 1:
The patent creates a universal measurement relaxation framework that can be applied to multiple object types (TRPs, cells, RS sets) using a common configuration structure. This multi-functional approach allows the same measurement relaxation mechanisms to serve multiple purposes across different objects, improving reliability while controlling complexity through standardized procedures.
Solution Approach 2:
The patent modifies measurement parameters specifically for multi-object scenarios by introducing object-specific measurement relaxation configurations. These parameter changes allow the system to maintain high measurement reliability across multiple objects while managing complexity through structured parameter organization and inheritance mechanisms.
3Use of energy by moving object
If standard measurement methods are used in multi-object scenarios, then device complexity is minimized, but measurement precision and power efficiency deteriorate
Solution Approach 1:
The patent applies partial measurement relaxation where the terminal performs measurements on a subset of configured objects or with relaxed precision requirements for certain objects. This allows the system to maintain adequate measurement accuracy for critical objects while reducing power consumption by limiting or relaxing measurements on less critical objects, achieving optimal power-efficiency trade-off.
Data Source
AI summary
A measurement relaxation method, a terminal, and a network side device are disclosed. The method includes: performing, by a terminal when a plurality of objects are configured, measurement relaxation on a target object in the plurality of objects. The measurement relaxation comprises at least one of the following: Radio Link Monitor (RLM) measurement relaxation; Beam Failure Detection (BFD) measurement relaxation; or Radio Resource Management (RRM) measurement relaxation.