Transmission Device AI/ML Signal Processing Selection
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Solution Overview
Problem
Current radio communication systems struggle to perform both AI/ML-based signal processing and traditional signal processing simultaneously, limiting their ability to efficiently handle various communication scenarios.
Innovation Solution
A transmission device and reception device are designed to process bit sequences or symbol sequences using both AI/ML-based signal processing and traditional signal processing methods, allowing for selection between the two based on specific requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system uses AI/ML-based signal processing, then processing efficiency and adaptability are improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic signal processing by enabling the system to switch between AI/ML-based processing and traditional processing methods based on operational conditions. The base station and terminal device can dynamically select which processing approach to use, allowing the system to adapt its complexity level to match the required performance level for different communication scenarios.
2Adaptability or versatility
If the system supports both AI/ML-based and traditional signal processing, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal signal processing framework where the base station and terminal device are equipped with both AI/ML-based processing capabilities and traditional processing capabilities. This multi-functional design allows the same device to handle diverse communication scenarios by selecting the appropriate processing method, thereby improving adaptability while managing complexity through unified device architecture.
3Device complexity
If only traditional signal processing is used, then device complexity is reduced, but adaptability to different communication scenarios deteriorates
Solution Approach 1:
The patent segments the signal processing functionality into distinct modules: AI/ML-based processing module and traditional processing module. This segmentation allows the system to include both processing types without creating a monolithic complex system, as each module can be independently managed and selected based on the specific communication scenario requirements.
Data Source
AI summary
A transmission device, a reception device, a transmission method, and a reception method are capable of performing signal processing for both an AI/ML model and non AI/ML model. A transmission device includes circuitry configured to process a first bit sequence or symbol sequence with a first signal processing that uses an AI/ML model, generate a second bit sequence or symbol sequence from a result the first signal processing, process the first bit sequence or symbol sequence with a second signal processing that does not use an AI/ML model, generate a third bit sequence or symbol sequence from a result of the second signal processing, and select or determine whether to process the first bit sequence or symbol sequence with the first signal processing or the second signal processing. A first transmitter transmits the second bit sequence or symbol sequence or the third bit sequence or symbol sequence accordingly.