Beamformer Common Representation for Multi-Technique Wireless Processing
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Solution Overview
Problem
Conventional wireless communication systems face challenges in efficiently processing and integrating different beamforming techniques due to varying resolutions and dimensions, leading to complexity in AI/ML model management and resource wastage.
Innovation Solution
A common representation for beamformers is introduced, allowing transformation and mapping of different beamforming techniques into a unified framework, using a dictionary of beams with consistent indexing, enabling efficient processing and reducing computational and storage requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple different beamforming techniques are used to serve different purposes, then the system's adaptability and functionality are improved, but the device complexity and difficulty of processing increase due to varying resolutions and dimensions
Solution Approach 1:
The patent applies universality by creating a common representation framework that can handle multiple beamforming techniques (PMI-based, SSB-based, SRS-based) through a unified interface. The beam information mapping module transforms various beamforming inputs into a standardized format, allowing the same processing pipeline to serve multiple beamforming purposes without requiring separate processing paths for each technique.
Solution Approach 2:
The patent introduces an intermediary layer (the common representation and beam information mapping module) that mediates between diverse beamforming techniques and the processing system. This intermediary transforms heterogeneous beamforming data into a unified format, eliminating the need for the processing system to directly handle the complexity of multiple different beamforming representations.
2Adaptability or versatility
If multiple AI/ML models are maintained for different beamforming techniques, then the system can handle diverse beamforming requirements, but resource wastage and model management complexity increase
Solution Approach 1:
The patent enables a single AI/ML model to handle multiple beamforming techniques by preprocessing all beamforming inputs into a common representation. This universal processing approach eliminates the need to maintain separate AI/ML models for each beamforming technique, reducing resource wastage while maintaining comprehensive beamforming technique coverage.
Solution Approach 2:
The patent extracts the technique-specific variations from the beamforming inputs and separates them into a standardized common representation. By taking out the heterogeneous elements and leaving only the essential beam information in a unified format, the system can use a single AI/ML model for all beamforming techniques, reducing model management overhead and resource consumption.
3Adaptability or versatility
If beamforming techniques with varying resolutions are used, then the system can accommodate different precision requirements, but measurement precision and processing consistency become difficult to maintain
Solution Approach 1:
The patent applies parameter changes by transforming beamforming inputs with different resolutions into a common representation with standardized parameters. The beam information mapping module adjusts and normalizes the resolution parameters of various beamforming techniques into a consistent format, maintaining measurement precision while accommodating the original resolution flexibility of different techniques.
Data Source
AI summary
An apparatus for a device for a wireless communication system, the apparatus comprising at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, cause the device to: receive first information characterizing one or more parameters of a beamformer associated with a specific beamforming technique of a plurality of different beamforming techniques, determine, based at least one the first information, second information characterizing the beamformer using a common representation for different beamformers associated with respective different beamforming techniques.