Precoding-Aware Inter-Bundle Channel Estimation for Downlink Data
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Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, face challenges in efficient inter-bundle channel estimation and synchronization at user equipment (UE), which affect data reception quality and reliability.
Innovation Solution
The UE receives a configuration specifying a bundle size N, where modulation symbols in N consecutive physical resource blocks (PRBs) are precoded with the same precoder, and performs channel estimation and synchronization by measuring reference signals in a second set of resources when a precoding condition is met, allowing for improved channel condition determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If channel estimation is performed using reference signals within a single bundle only, then the estimation process is simple and fast, but the channel estimation accuracy is limited due to insufficient measurement samples
Solution Approach 1:
The patent combines reference signal measurements from multiple bundles (first set of resources and second set of resources) to perform channel estimation for a target bundle. By merging measurement data across N PRBs in different bundles, the system increases the number of available measurement samples, thereby improving channel estimation accuracy without requiring more complex per-bundle processing
Solution Approach 2:
The system performs preliminary measurements on reference signals in the second set of resources (different bundle) before using those measurements to estimate the channel condition in the first set of resources. This preliminary action allows the UE to gather additional channel information from other bundles that can be applied to improve the accuracy of the target bundle estimation
2Measurement precision
If the UE measures reference signals in multiple bundles to improve channel estimation, then estimation accuracy improves, but the measurement time and processing load increase
Solution Approach 1:
The system measures reference signals in N PRBs of a second bundle (excessive action beyond the minimum single-bundle requirement) to obtain improved channel estimation for the first bundle. By performing measurements in additional resources beyond what would be minimally required, the system achieves better accuracy while the processing load is managed through efficient utilization of these partial measurements across bundles
3Adaptability or versatility
If precoding changes frequently across bundles, then the system can adapt to channel variations, but channel estimation becomes unreliable as measurements from other bundles cannot be applied
Solution Approach 1:
The system dynamically determines whether to apply inter-bundle channel estimation based on precoding conditions. When precoding remains consistent across bundles, measurements from the second bundle are applied to estimate the first bundle's channel. When precoding changes, the system adapts by not applying the cross-bundle measurements, thus maintaining estimation reliability while preserving adaptability to precoding variations
Data Source
AI summary
In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE. The configuration specifies a bundle size N. Modulation symbols in N consecutive PRBs are precoded with a same precoder. The UE determines whether a precoding condition is true. The precoding condition is that modulation symbols in a first set of resources and a second set of resources are precoded with a same precoder. Each set of the first set of resources and the second set of resources contains N PRBs. When the precoding condition is met: the UE measures reference signals in the second set of resources; the UE determines a channel condition of the first set of resources in consideration of the measurements of the reference signals in the second set of resources.