Semantic Channel Coding With Synonymous Set Mapping
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Solution Overview
Problem
Existing channel encoding and decoding schemes are inadequate for semantic communication scenarios, leading to increased errors and reduced transmission accuracy due to the transition from syntactic codewords to synonymous sets, as conventional methods are no longer applicable.
Innovation Solution
A method that involves pre-establishing a semantic codebook and synonymous mapping relationships to determine a syntactic codeword for transmission, and at the receiver, performing a signal recovery process to obtain a sequence index of a target synonymous set based on these relationships, thereby reducing error probabilities in semantic information reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional channel encoding and decoding schemes are used in semantic communication scenarios, then the transmission process can be maintained, but the errors in semantic information reception increase and transmission accuracy decreases
Solution Approach 1:
The patent introduces synonymous sets as an intermediary layer between the transmitted signal and the semantic meaning. Instead of directly transmitting syntactic codewords, the system transmits signals that map to synonymous sets, which then map to semantic meanings. This intermediary layer allows for error resilience because multiple syntactic codewords can represent the same semantic meaning, providing redundancy and tolerance against transmission errors.
Solution Approach 2:
The patent changes the fundamental parameter of what is being transmitted and decoded. Rather than transmitting individual syntactic codewords, the system transmits signals that correspond to synonymous sets. This parameter change from codeword-level to set-level transmission fundamentally alters the error characteristics, as the decoding process can tolerate variations within the synonymous set while maintaining semantic accuracy.
2Productivity
If semantic channel coding technologies are introduced to breakthrough Shannon theory limits, then transmission rates can be improved, but the complexity of encoding and decoding schemes increases due to synonymous sets
Solution Approach 1:
The patent applies preliminary action by pre-establishing the mapping relationships between syntactic codewords, synonymous sets, and semantic meanings before transmission. The semantic codebook and synonymous set mappings are prepared in advance, allowing the encoding process to simply look up and select appropriate codewords from pre-defined sets. This preliminary preparation reduces the computational complexity during actual transmission while maintaining the benefits of semantic channel coding.
Data Source
AI summary
Disclosed is an encoding method for semantic channels. According to the encoding method, a semantic codebook and synonymous mapping relationships may be obtained at first. Then, a syntactic information sequence to be transmitted may be determined. Further, a syntactic codeword from the semantic codebook corresponding to the syntactic information sequence may be determined based on the synonymous mapping relationships. Finally, the syntactic codeword may be modulated to obtain a signal vector.