Dynamic Resource Block Bundling for Channel Estimation
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Solution Overview
Problem
Current wireless communication systems face challenges in achieving accurate channel estimation and demodulation, particularly in high rank transmissions, due to limitations in resource block bundling, which affects channel estimation accuracy and transmission power balance.
Innovation Solution
A base station transmits physical resource blocks in bundles with a bundle size determined by the system bandwidth configuration, using the same precoder for all blocks within a bundle, allowing for improved channel estimation and demodulation across bundled resource blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If resource block bundling is implemented with larger bundle sizes, then channel estimation accuracy is improved, but precoding flexibility is reduced
Solution Approach 1:
The system segments resource blocks into bundles of different sizes based on frequency position and system bandwidth. Different bundle sizes (e.g., 2 RBs, 4 RBs, or 8 RBs) are assigned to different frequency ranges, allowing the system to achieve accurate channel estimation in frequency-selective fading regions while maintaining precoding flexibility in other regions. This segmentation resolves the contradiction by applying different bundling strategies to different parts of the spectrum.
Solution Approach 2:
The bundle size is made dynamic rather than fixed, allowing the system to adapt the bundling configuration based on channel conditions, system bandwidth, and frequency position. The base station can dynamically adjust the number and size of bundles to optimize both channel estimation accuracy and precoding flexibility according to current system requirements and channel characteristics.
2Measurement precision
If resource block bundling is implemented with larger bundle sizes, then channel interpolation span is increased, but transmission power balance is affected
Solution Approach 1:
Different bundle sizes are applied to different frequency locations based on local channel conditions. In frequency regions experiencing severe fading, larger bundles are used to increase interpolation span and improve channel estimation. In other regions with better channel conditions, smaller bundles are used to maintain transmission power balance. This localized approach resolves the contradiction by optimizing bundle size according to specific frequency-domain characteristics.
3Reliability
If resource block bundling is implemented, then demodulation performance is improved, but system complexity increases
Solution Approach 1:
The resource block bundling mechanism is designed to be universal and multi-functional, serving multiple purposes simultaneously: improving channel estimation accuracy, enhancing demodulation performance, and adapting to different system bandwidths. The same bundling framework handles various scenarios (different RB counts, frequency selective fading conditions) without requiring separate mechanisms, thereby improving reliability while controlling system complexity through a unified approach.
Data Source
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Figure 2A~2B
Figure 3A
AI summary
A method and system for communication is disclosed. Allocating resource based on a resource block group determined dependent on a system bandwidth. Applying a same precoder to all physical resource block within a precoding subset dependent on the system bandwidth. A number of physical resource block within the precoding subset and a number of resource block within a resource block group for resource allocation are 1, if the system bandwidth is within 10 physical resource blocks. A number of physical resource block within the precoding subset and a number of resource block within a resource block group for resource allocation are 2 if the system bandwidth is between 11 and 26. A number of physical resource block within the precoding subset and a number of resource block within a resource block group for resource allocation are 3 if the system bandwidth is between 27 and 63.