5G-A车联网确定性网络中的语义通信系统  

Semantic communication system in deterministic networking for 5G-advanced vehicular network

作　　者：栾宏之 李书才[1] 李屹 钱传杰 梅琼 LUAN Hongzhi;LI Shucai;LI Yi;QIAN Chuanjie;MEI Qiong(Comprehensive Smart Energy Department.,Shandong Electric Power Engineering Consulting Institute Limited Company,Jinan 250011,China;Strategic Project Department,Jiangsu Future Network Group,Nanjing 211111,China)

机构地区：[1]山东电力工程咨询院有限公司综合智慧能源部,山东济南250011 [2]江苏未来网络集团有限公司战略项目部,江苏南京211111

出　　处：《浙江大学学报(工学版)》2025年第5期964-972,共9页Journal of Zhejiang University:Engineering Science

基　　金：北京市自然科学基金:资助项目(L222043)。

摘　　要：针对现有语义通信(SC)系统编码时间较长,无法直接应用于5G-Advanced技术框架下,需要处理大量高实时性、低延迟数据的智能车联网系统(V2X)中确定性网络(DN)的问题,提出针对5G-Advanced智能车联网中确定性网络设计的截止时间敏感的语义通信系统(DDA-SC).该系统采用截止时间敏感的语义编码器,通过控制编码深度适应数据截止时间,确保在有效时间内完成编码与传输.为了提高各编码截止时间下的传输可靠性,提出基于编码深度的信噪比感知网络.该网络在训练时将SNR映射为编码深度相关的相关信噪比(R-SNR),利用注意力机制进行R-SNR感知,以在不同编码截止时间下更好地抵御信道噪声.实验结果表明,当编码截止时间<5μs时,该系统在CARS-196汽车识别任务上的准确度较不考虑截止时间的系统提高80.31%以上.结果表明,DDASC可以在极低编码截止时间下完成一般语义通信系统无法完成的任务,验证了该方法的有效性.A deadline-aware semantic communication(DDA-SC)system specifically tailored for deterministic network in 5G-Advanced intelligent vehicle-to-everything(V2X)environments was proposed in order to overcome the challenge of prolonged encoding time in current semantic communication(SC)systems,which impedes their direct deployment in deterministic networking(DN)for 5G-Advanced vehicle-to-everything(V2X)networks—particularly critical for intelligent transportation systems requiring high-throughput and low-latency data processing.A deadlineaware semantic encoder(DDA-SE)was employed,which adjusted the depth of semantic encoding to meet data deadlines,ensuring timely encoding and transmission.A signal-to-noise ratio(SNR)aware network based on encoding depth was introduced in order to enhance transmission reliability across different encoding deadlines.SNR was mapped to relevant signal-to-noise ratio(R-SNR)based on encoding depth during training,using an attention mechanism to sense R-SNR and better resist channel noise under various encoding deadlines.The experimental results show that this system achieve an accuracy improvement of over 80.31%in the CARS-196 vehicle identification task compared with systems that do not consider data deadlines when encoding deadlines are shorter than 5 microseconds.Results demonstrate that DDA-SC can accomplish tasks under extremely low encoding deadlines that are unachievable by conventional semantic communication systems,thus verifying the effectiveness of the method.

关 键 词：车联网(V2X) 语义通信 5G-Advanced 确定性网络 联合信源信道编码 

分 类 号：TN914[电子电信—通信与信息系统]