TCI State Resource Mapping for Multi-TRP Channel Estimation
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Solution Overview
Problem
Current communication systems face challenges in optimizing channel estimation performance, particularly in TDM modes, due to limitations in frequency selective precoding and joint channel estimation, which affect transmission reliability and quality in multi-TRP environments.
Innovation Solution
A resource determination method and device that determine the time domain resource corresponding to a TCI state using bitmap, predefined patterns, or continuous mini slots/slots, enabling improved channel estimation and transmission reliability by maintaining consistent precoding across bundled resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequency selective precoding is applied to each PRB independently to guarantee precoding gain, then precoding performance is improved, but joint channel estimation across multiple PRBs cannot be performed
Solution Approach 1:
The patent segments the frequency domain into PRB groups (PRG) where each group contains multiple contiguous PRBs. Within each PRG, joint channel estimation is performed across all PRBs while maintaining independent precoding for each PRB. This segmentation allows the system to balance between precoding gain (by keeping PRG size limited) and channel estimation accuracy (by enabling joint estimation within the group).
Solution Approach 2:
The patent merges multiple contiguous PRBs into PRB groups for joint channel estimation purposes. By combining the channel estimation process across multiple PRBs within a group, the system improves measurement precision while maintaining the ability to apply frequency-selective precoding at the individual PRB level through the limited group size.
2Measurement precision
If PRB bundling is adopted to enable joint channel estimation across multiple PRBs, then channel estimation performance is improved, but the granularity of frequency selective precoding is limited and precoding gain is reduced
Solution Approach 1:
The patent introduces dynamic control of PRG size through higher-layer parameters (prb-BundlingSize and maxPRG-Size) that can be configured based on channel conditions and system requirements. The actual PRG size is determined by taking the minimum of the configured bundling size, maximum PRG size, and the number of contiguous PRBs allocated to the UE. This dynamic adjustment allows the system to optimize the trade-off between channel estimation accuracy and precoding gain according to specific operating conditions.
Solution Approach 2:
The patent changes the parameter of PRG size from a fixed value to a configurable parameter that can be adjusted through higher-layer signaling. By introducing prb-BundlingSize and maxPRG-Size parameters, the system can adapt the degree of PRB bundling to match channel coherence bandwidth and service requirements, thereby dynamically optimizing both channel estimation performance and precoding effectiveness.
3Reliability
If TDM mode is used with multiple TCI states for multi-TRP transmission, then transmission reliability is improved, but resource allocation complexity increases
Solution Approach 1:
The patent applies preliminary action by configuring TCI state mappings to time domain resources (slots or mini-slots) in advance through higher-layer parameters. The network pre-defines which TCI states are associated with which time resources, allowing the UE to automatically determine the appropriate TCI state for each scheduled resource without complex real-time decisions. This reduces resource allocation complexity while maintaining multi-TRP transmission reliability.
Solution Approach 2:
The patent enables self-service by allowing the UE to autonomously determine the TCI state to use for each time domain resource based on pre-configured mappings and the scheduled slot/mini-slot index. The UE independently resolves the TCI state without requiring complex network coordination during transmission, thereby simplifying resource allocation while supporting reliable multi-TRP operation.
Data Source
AI summary
Disclosed are a resource determination method and device. On a network side, a resource determination method provided in the embodiments of the present application includes: determining a correlation between a transmission configuration indication (TCI) state and a time domain resource; and determining, according to the correlation, the time domain resource corresponding to the TCI state.