Bandwidth-Adaptive Channel Prediction via Sub-Band Partitioning
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G/NR, face challenges in efficiently adapting to varying bandwidth and channel conditions, leading to suboptimal channel prediction and estimation, which affects data transmission quality and capacity.
Innovation Solution
A base station equipped with a processor that partitions the sounding reference signal into sub-bandwidths, applies different channel prediction operations to each sub-bandwidth, and combines the results for enhanced channel estimation and prediction, allowing for bandwidth-adaptive and model-order-adaptive channel prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single channel prediction operation is applied to the entire frequency band, then the device complexity is low, but the channel estimation accuracy deteriorates under varying bandwidth conditions
Solution Approach 1:
The frequency band is divided into multiple sub-bandwidths, and different channel prediction operations are applied to each sub-bandwidth independently. This segmentation allows the system to adapt to varying bandwidth conditions and improve channel estimation accuracy without requiring a single complex prediction operation across the entire band.
2Adaptability or versatility
If different channel prediction operations are applied to different sub-bandwidths, then the adaptability to varying bandwidth conditions is improved, but the device complexity increases
Solution Approach 1:
The system dynamically selects and applies different channel prediction operations based on the specific bandwidth conditions of each sub-bandwidth. This dynamic adaptation allows the system to optimize performance for varying bandwidth scenarios while managing complexity through conditional operation selection rather than maintaining all possible operations simultaneously.
3Productivity
If the frequency band is partitioned into multiple sub-bandwidths with different prediction operations, then the channel prediction efficiency is improved, but the processing time increases
Solution Approach 1:
By partitioning the frequency band into sub-bandwidths and applying appropriate prediction operations to each, the system improves overall prediction efficiency through targeted processing. The segmentation enables parallel processing of different sub-bandwidths and allows selection of computationally efficient operations for each segment, reducing total processing time compared to a single comprehensive operation.
Data Source
AI summary
Methods and apparatuses for a channel estimation and prediction operation in a wireless communication systems. A method of a BS comprises: receiving an SRS; partitioning, based on a partition policy, a frequency band of the SRS into sub-bandwidths in a frequency domain; generating, based on previously stored CSI in memory and the partition policy, a set of chunks corresponding to respective sub-bandwidths; performing CHPD operations corresponding to the respective sub-bandwidths to generate channel parameters, wherein different CHPD operations are applied to the respective sub-bandwidths; combining the channel parameters predicted from the respective sub-bandwidths in the frequency domain; and performing, based on the combined channel parameters, a channel estimation and prediction operation.