Semantic Multiple Access for UE Reconstruction Quality
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Solution Overview
Problem
Existing multiple access techniques are limited as they operate primarily in data domains such as time, frequency, code, space, or power domains, without considering the semantic domain, which restricts the reconstruction quality and access capabilities of user equipment (UEs) in communication systems.
Innovation Solution
A multiple access method and system that utilize semantic features of source information, enabling joint source-channel coding and mapping into time-frequency resources, allowing for improved reconstruction of source information and enhanced access capabilities by operating in the semantic domain, where semantic features are extracted and superposed for multiple UEs, facilitating better transmission and reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing multiple access techniques (FDMA, TDMA, CDMA, OFDMA, NOMA) are used, then system compatibility and established infrastructure are maintained, but reconstruction quality of source information and access capabilities are limited
Solution Approach 1:
The patent introduces a new semantic domain dimension for multiple access operations. Instead of operating solely in traditional data domains (time, frequency, code, space, power), the invention extracts semantic features from source information and performs multiple access in this new semantic domain, thereby improving reconstruction quality while expanding access capabilities.
Solution Approach 2:
The patent changes the fundamental parameter space by transforming source information into semantic feature sequences through semantic extraction. This parameter transformation enables operations in the semantic domain, allowing for better reconstruction quality and enhanced access capabilities compared to traditional data-domain operations.
2Reliability
If semantic feature extraction and joint source-channel coding are implemented, then reconstruction quality and access capabilities are improved, but system complexity increases
Solution Approach 1:
The patent performs semantic feature extraction and joint source-channel coding in advance, before the multiple access operation. By preparing semantic feature sequences beforehand and encoding them jointly with channel information, the system achieves better transmission performance while managing complexity through pre-processing rather than real-time complex operations.
Solution Approach 2:
The patent introduces semantic feature sequences as an intermediary between source information and channel transmission. This intermediary representation enables the system to achieve improved reliability by separating the semantic extraction function from the physical layer transmission, allowing each component to be optimized independently.
Data Source
AI summary
A multiple access method includes: obtaining, by a user equipment (UE), first source information; extracting a semantic feature of the first source information to obtain a first semantic feature sequence; performing a joint source-channel coding on the first semantic feature sequence to obtain a first semantic information sequence; mapping the first semantic information sequence into preset time-frequency resources of an uplink multiple access channel; and transmitting the first semantic information sequence through the uplink multiple access channel.