L1-RSRP Measurement Accuracy for Beam Detection
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Solution Overview
Problem
The definition of Layer 1 (L1)-Reference Signal Received Power (RSRP) measurement accuracy for beam detection in wireless communication systems is unclear, and there is no direct relationship between measurement accuracy and beam detection probability, which can lead to incorrect beam selection if accuracy is not guaranteed.
Innovation Solution
Defining L1-RSRP measurement accuracy based on successful beam detection probability, with methods including averaging multiple samples, optimizing Tx beam configuration, and increasing CSI-RS density, to ensure a beam detection probability of more than 90%, and configuring CSI-RS resources with a density of three or more resource elements per resource block per port.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If L1-RSRP measurement accuracy is not defined or guaranteed, then beam detection may be performed with insufficient precision, but system complexity and measurement overhead are reduced
Solution Approach 1:
The patent defines L1-RSRP measurement accuracy in terms of beam detection probability (e.g., 90% detection probability), transforming the measurement precision requirement into a probabilistic parameter. This allows the system to achieve reliable beam detection by configuring multiple CSI-RS resources and samples, where the aggregate measurement accuracy meets the defined threshold without requiring excessive complexity in individual measurement processes
Solution Approach 2:
The patent segments the beam detection process into multiple independent CSI-RS resource measurements and samples. By dividing the overall measurement task into multiple smaller, manageable components (different CSI-RS resources, different samples per resource), the system can achieve high detection probability through aggregation while keeping individual measurement operations simple and standardized
2Reliability
If multiple samples and higher CSI-RS density are used to improve beam detection probability, then measurement accuracy improves, but measurement overhead and resource consumption increase
Solution Approach 1:
The patent applies partial action by configuring a specific number of CSI-RS samples (e.g., 3 samples) and a minimum CSI-RS density (e.g., 3 RE per RB per port) that is sufficient to achieve the target beam detection probability of 90%. This avoids excessive measurement overhead by determining the minimum necessary configuration rather than using maximum possible resources
Solution Approach 2:
The patent transforms the reliability requirement (beam detection probability) into specific configurable parameters: number of CSI-RS samples, CSI-RS resource density, and measurement averaging. By changing these parameters to specific values, the system achieves the desired 90% detection probability while controlling measurement overhead through defined configuration rather than uncontrolled resource consumption
3Reliability
If L1-RSRP measurement accuracy is improved through multiple samples and averaging, then beam detection reliability increases, but measurement time and processing delay increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple CSI-RS resources and samples before beam detection is performed. The network configures the UE with multiple CSI-RS resources and sample parameters in advance, so that when beam detection is needed, the UE can immediately perform measurements on the pre-configured resources without additional configuration delay, achieving both high reliability and efficient timing
Data Source
AI summary
Systems and methods provide for beam detection in a wireless communication system. An apparatus for a UE may be configured to identify a plurality of CSI-RS resources corresponding to different Tx beams configured for measurement by the UE, measure an L1-RSRP for the plurality of CSI-RS resources, determine a selected Tx beam of the different Tx beams based on measured L1-RSRP values for the plurality of CSI-RS resources, and determine a measurement accuracy of a first L1-RSRP value corresponding to the selected Tx beam based on successful beam detection probability.