🤖 AI Summary
To address the incompatibility between semantic communication (SC) and traditional non-semantic communication under 6G multi-service coexistence, this paper proposes a Hybrid Semantic Cellular Radio Access Network (HSC-RAN) protocol stack. Methodologically, it introduces the first PDSCH transmission mechanism jointly supporting SC and non-SC, along with a configurable DCI format, enabling dynamic, real-time, dual-mode scheduling and transmission of semantic representations and bit streams over a unified OFDM air interface. At the physical layer, integrated semantic encoding/decoding modules support concurrent end-to-end semantic reconstruction and conventional bit-level transmission. Experimental results demonstrate that the scheme simultaneously ensures high-quality parallel delivery of SC-based AR/VR video and non-SC industrial control text. Under high-fidelity semantic reconstruction constraints, it significantly improves spectral efficiency and service adaptability.
📝 Abstract
Recently, Semantic Communication (SC) has been recognized as a crucial new paradigm in 6G, significantly improving information transmission efficiency. However, the diverse range of service types in 6G networks, such as high-data-volume services like AR/VR/MR and low-data-volume applications requiring high accuracy, such as industrial control and data collection, presents significant challenges to fully replacing the fundamental technologies with SC. Therefore, we design a Hybrid Semantic Communication Ratio Access Network (HSC-RAN) protocol stack demo for 6G systems to achieve compatibility and smooth transition between SC and non-SC. Specifically, we take the Physical Downlink Shared Channel (PDSCH) as an example, to efficiently integrate SC with Orthogonal Frequency Division Multiplexing (OFDM). Furthermore, we introduce a novel Downlink Control Information (DCI) format that jointly supports SC and non-SC, enabling real-time video transmission via SC and text transmission through non-SC. Experimental results demonstrate that our approach allows simultaneous transmission of semantic and non-semantic information while maintaining high-quality reconstruction at the receiver.