Implicit TCI Determination for Multi-TRP Wireless Signaling
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Solution Overview
Problem
In 5G New Radio (NR) Massive Multi-Input Multi-Output (MIMO) systems, determining the correct Transmission Configuration Indication (TCI) set for the Physical Downlink Shared Channel (PDSCH) is challenging due to the need for explicit indication in control signaling, leading to increased overhead and reduced spectral efficiency, especially in multi-TRP scenarios.
Innovation Solution
A method that uses implicit information associated with the second time-frequency resource set to determine the target reference signal resource, reducing signaling overhead and enhancing spectral efficiency by allowing any of the N reference signal resource sets to be used for beam determination, ensuring flexibility in scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If explicit indication fields are added to PDCCH to indicate TCI sets for multi-TRP scenarios, then beam determination accuracy is improved, but control signaling overhead increases and spectral efficiency decreases
Solution Approach 1:
The terminal determines the TCI set for the PDSCH by itself based on implicit rules (search space set association, time-frequency resource location) without requiring explicit indication from the network. This self-service mechanism eliminates the need for additional indication fields in PDCCH, thereby reducing control signaling overhead while maintaining beam determination accuracy.
Solution Approach 2:
The patent introduces intermediate elements (search space set associations, time-frequency resource locations) as mediators to indirectly indicate the TCI set. Instead of directly indicating the TCI set through explicit fields, the network configures associations between search space sets and TCI states, and the terminal uses these associations along with PDCCH reception locations to determine the appropriate TCI set, reducing the need for direct signaling.
2Adaptability or versatility
If multiple reference signal resource sets are configured for different CORESET pools, then beam flexibility is improved, but device complexity increases
Solution Approach 1:
The patent segments the reference signal resource sets into different groups associated with different CORESET pools. Each CORESET pool has its own configured TCI states and associations, allowing independent beam management for different TRPs. This segmentation enables beam flexibility while organizing the complexity in a structured manner that the terminal can handle through systematic processing rules.
Solution Approach 2:
The network performs preliminary configuration by pre-establishing associations between search space sets and TCI states for different CORESET pools before actual data transmission. This preliminary action prepares the terminal with all necessary mapping relationships, so during actual operation the terminal only needs to follow simple lookup rules based on which search space set the PDCCH was received in, reducing real-time processing complexity.
Data Source
AI summary
Method and device in nodes for wireless communications. A node firstly receives a first signaling in a first time-frequency resource set, the first signaling indicating a target reference signal resource; and receives a first signal in a second time-frequency resource set; a DMRS of a channel occupied by the first signal is QCL with the target reference signal resource; a target reference signal resource set comprises K1 candidate reference signal resources, with the first signaling indicating the target reference signal resource among the K1 candidate reference signal resources; at least either of frequency-domain resources occupied by the second time-frequency resource set or time-domain resources occupied by the second time-frequency resource set are used to determine the target reference signal resource set. Present application improves the method of indicating data-scheduling beams with multiple search spaces under M-TRP being combined monitored, thus reducing the signaling overhead and optimizing the system performance.