Multi-TRP Beam Prediction Using Paired CSI Resource Reporting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In multi-transmission and reception point (TRP) deployment scenarios, user equipment (UE) and TRPs lack a mutually understood mechanism for predicting and reporting signal strengths for beams, leading to increased signaling overhead and power consumption.
Innovation Solution
UEs predict and report signal strengths for channel resource pairs using configuration- or signaling-based mechanisms, associating channel measurement resource (CMR) sets with channel prediction resource (CPR) sets, enabling beam prediction and reducing overhead and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If UEs measure and report signal strengths for all channel resources in multi-TRP scenarios, then measurement precision is improved, but signaling overhead increases
Solution Approach 1:
The patent applies preliminary action by configuring channel resource pairs (CMR-CPR pairs) in advance through higher-layer signaling. The network pre-establishes associations between channel measurement resources and channel prediction resources, allowing the UE to perform predictions based on pre-configured pairs rather than reporting all measured channel resources. This reduces signaling overhead while maintaining measurement precision for beam prediction purposes.
2Measurement precision
If UEs perform comprehensive channel measurements for beam prediction in multi-TRP scenarios, then beam prediction accuracy is improved, but power consumption increases
Solution Approach 1:
The patent applies the extraction principle by selecting and reporting only the strongest channel resource pair from multiple configured pairs, rather than processing and reporting all measured pairs. The UE extracts the most relevant information (strongest pair indicating best beam combination) and reports only that, significantly reducing computational load and power consumption while maintaining beam prediction accuracy.
3Adaptability or versatility
If the network configures multiple CMR and CPR sets for each TRP, then adaptability of beam prediction is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the multi-TRP channel resources into separate CMR sets and CPR sets for each TRP, with explicit associations configured between them. Each TRP has its own paired resources, allowing independent configuration and management. This segmented approach enables the network to adapt to different multi-TRP scenarios while keeping the configuration manageable through structured pairing rather than monolithic configuration.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. In some aspects, a UE may predict and report signal strength information associated with channel resources of a channel prediction resource (CPR) set based on measured signal strengths of channel resources of a channel measurement resource (CMR) set for each of multiple transmission and reception points (TRPs). For example, each TRP may be associated with a CMR set and a CPR set and the UE may measure signal strengths of channel resources of each CMR set and may use the measured signal strengths to predict signal strengths of channel resources of an associated CPR set. The CE may report predicted signal strengths of the CPR sets in a pair-wise manner via one or more channel resource pairs via a channel state information (CSI) report. In some aspects, the UE may include both predicted and measured signal strengths in the CSI report.