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A Hybrid Semantic RAN Protocol Stack Design for 6G System and Its Implementation

Luhan wang, Haiwen Niu, Zhaoming Lu, Xiangming Wen

TL;DR

The paper addresses the challenge of integrating semantic communications into heterogeneous 6G networks by proposing a Hybrid Semantic Communication Ratio Network (HSC-RAN) that supports simultaneous SC and non-SC transmission. It introduces a fusion mechanism that maps DL-enabled JSCC semantic vectors onto the PDSCH-OFDM PHY and extends the Downlink Control Information (DCI) with a ResourceType indicator to govern semantic resource allocation. A two-GPU, SDR-based testbed demonstrates real-time video via SC alongside text via non-SC, with metrics indicating high-fidelity reconstruction under practical channels. The work provides a practical path toward deploying SC in 6G, enabling smooth transitions between paradigms and paving the way for large-scale adoption of semantic communications in next-generation networks.

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.

A Hybrid Semantic RAN Protocol Stack Design for 6G System and Its Implementation

TL;DR

The paper addresses the challenge of integrating semantic communications into heterogeneous 6G networks by proposing a Hybrid Semantic Communication Ratio Network (HSC-RAN) that supports simultaneous SC and non-SC transmission. It introduces a fusion mechanism that maps DL-enabled JSCC semantic vectors onto the PDSCH-OFDM PHY and extends the Downlink Control Information (DCI) with a ResourceType indicator to govern semantic resource allocation. A two-GPU, SDR-based testbed demonstrates real-time video via SC alongside text via non-SC, with metrics indicating high-fidelity reconstruction under practical channels. The work provides a practical path toward deploying SC in 6G, enabling smooth transitions between paradigms and paving the way for large-scale adoption of semantic communications in next-generation networks.

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.

Paper Structure

This paper contains 7 sections, 6 figures, 1 table.

Figures (6)

  • Figure 1: A hybrid semantic communication RAN protocol stack system. This demo system runs on two GPU-aided PC.
  • Figure 2: The overall architecture of HSC-RAN demo
  • Figure 3: The fusion mechanism between SC and PHY
  • Figure 4: The overall workflow of HSC-RAN demo
  • Figure 5: The architecture of DL-enabled JSCC for video transmission
  • ...and 1 more figures