Semantic Waveform Adaptation for Reliable Multi-Function Communication
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Solution Overview
Problem
Existing semantic communication methods are not optimized to transmit all necessary data effectively, failing to consider the importance of semantics in communication beyond symbol transmission.
Innovation Solution
A method for semantic communication that adapts a waveform to embed multiple semantic functions, considering channel quality and hardware constraints, allowing simultaneous transmission of semantic messages and metadata within a physical layer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional symbol transmission methods are used, then communication reliability is maintained, but semantic information effectiveness is lost
Solution Approach 1:
The communication process is segmented into three distinct levels: symbol transmission (physical layer), semantic extraction (semantic layer), and effectiveness evaluation (application layer). This segmentation allows each layer to be optimized independently, with the semantic layer extracting meaningful information from transmitted symbols without compromising the reliability of the underlying symbol transmission.
Solution Approach 2:
A semantic layer is introduced as an intermediary between the physical transmission layer and the application layer. This semantic layer includes semantic extractors that process transmitted symbols to derive semantic information, and semantic databases that store and manage semantic knowledge, thereby preserving semantic information effectiveness while maintaining symbol transmission reliability.
2Quantity of substance
If data is transmitted in raw form, then completeness of information is ensured, but transmission efficiency decreases
Solution Approach 1:
The semantic layer extracts only the essential semantic information from the transmitted data using semantic extractors and ontologies. Instead of transmitting or processing all raw data, the system identifies and extracts key semantic concepts, relationships, and meanings, thereby maintaining information completeness while significantly improving transmission and processing efficiency.
Solution Approach 2:
The system transforms data from raw numerical form into semantic parameters such as concepts, entities, relationships, and meanings. This parameter transformation allows the system to work with compressed semantic representations rather than full raw data, improving efficiency while preserving the essential information content through semantic equivalence.
3Device complexity
If semantic communication is implemented without waveform adaption, then system complexity is reduced, but transmission performance deteriorates
Solution Approach 1:
The waveform adaption mechanism dynamically adjusts transmission parameters based on channel conditions and semantic requirements. The system monitors channel quality and automatically adapts waveform characteristics such as modulation depth, symbol rate, and power allocation to optimize semantic information transmission, thereby improving transmission performance without requiring complex manual configuration.
Solution Approach 2:
The semantic communication system includes self-adaptation capabilities where the waveform adaption automatically responds to channel conditions and semantic extraction requirements without external intervention. The system monitors its own performance and adjusts transmission parameters in real-time, reducing the need for complex external control mechanisms while maintaining high transmission performance.
Data Source
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AI summary
The present invention concerns a method for carrying out a semantic communication within a semantic communication system (10) defining a semantic communication channel, the semantic communication system (10) comprising a sender (12) and a receiver (14) connected through a wireless channel (16), the method comprising the following phases: - semantic communication setting comprising determining multiple semantic functions to be embedded into a waveform; - semantic adaption of the waveform to embed the multiple semantic functions; - semantic transmission of the adapted waveform in a form of an electromagnetic signal.