Precoding Granularity Determination for Non-RRC Channel Estimation
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Solution Overview
Problem
In future wireless communication systems like 5G NR, user equipment faces challenges in determining precoding granularity for channel estimation before an RRC connection is established, especially for control resource sets not configured by RRC, such as RMSI CORESET, which is crucial for correct information reception.
Innovation Solution
A method and device for determining precoding granularity using various determination modes, including resource element group bundle size in the frequency domain, number of consecutive resource blocks, and network configuration information, allowing user equipment to perform channel estimation before an RRC connection is established.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precoding granularity is configured by RRC for CORESET, then channel estimation accuracy is improved, but the system cannot operate before RRC connection is established
Solution Approach 1:
The patent applies preliminary action by enabling the UE to determine precoding granularity for RMSI CORESET before RRC connection is established. The network device configures precoding granularity parameters (such as frequency domain granularity) in advance through system information, allowing the UE to perform channel estimation and receive RMSI without requiring prior RRC connection, thus resolving the contradiction between needing RRC configuration for accuracy and needing to operate before RRC connection.
2Adaptability or versatility
If multiple determination modes are provided for precoding granularity, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent applies dynamics by providing multiple determination modes for precoding granularity that can be dynamically selected based on system conditions. The network device can indicate different determination modes through configuration information, allowing the system to adapt between: (1) using REG bundle size in frequency domain, (2) using number of consecutive RBs, or (3) using network-configured values. This dynamic selection mechanism provides flexibility while managing UE complexity through standardized algorithms for each mode.
Data Source
AI summary
The present application discloses a method of channel estimation based on precoding granularity of control resource set, which is applied to a user equipment with control resource set (CORESET) configured in a non-RRC manner. The method includes: determining precoding granularity according to a determination mode among a plurality of determination modes; performing channel estimation according to the precoding granularity. The plurality of determination modes includes: determining the precoding granularity according to a resource element group (REG) bindle size in frequency domain, determining the precoding granularity according to the number of consecutive resource blocks (RBs) in frequency domain of the CORESET, and determining the precoding granularity according to network configuration information. According to the present application, the precoding granularity of the control resource set configured in a non-RRC manner can be determined, so that the user equipment can determine the precoding granularity before the RRC connection is established, and then perform channel estimation.