基于通感算应用的6G自智算力光网解决方案  

6G Self-Intelligent Optical Network Solution Based on Integrated Sensing,Communication,and Computing

作　　者：林键[1] 余维阳 LIN Jian;YU Weiyang(China Mobile Communications Group Guangdong Co.,Ltd.,Shantou Branch,Shantou 521000,China)

机构地区：[1]中国移动通信集团广东有限公司汕头分公司,广东汕头521000

出　　处：《移动通信》2023年第9期84-88,共5页Mobile Communications

摘　　要：论述一种光层大数据的应用方案,基于光路光功率采集并结合光传输设备AI算力解决传输光路发生中断时,如何及时准确判断故障根因,从而有效缩短故障处理时长。本方案模型从光模块的毫秒级光功率数据采集到光传输设备利用嵌入式AI算力对故障波形进行特征提取,再到上层的OMC网管大数据模型识别网络级故障的通感算一体化算法,实现了传输光路中断智能化定界定位。从理论模型分析到现网验证,系统自动感知准确率能够有效支撑传输光网的自智运维,夯实全光运力的智能化底座。An application solution based on optical layer big data is proposed in this paper.This solution utilizes optical power data collection along optical paths and integrates AI computing capabilities on optical transmission equipment.The objective is to address the timely and accurate determination of the root causes of interruptions in transmission optical paths,thereby effectively reducing the downtime required for fault resolution.The proposed solution comprises a model that involves the collection of millisecond-level optical power data from optical modules.Subsequently,embedded AI computing capabilities on optical transmission equipment are employed for feature extraction.Finally,an integrated sensing,communication,and computation algorithm is applied,in conjunction with an upper-level OMC network management big data model,to identify network-level faults.This process enables intelligent localization and delineation of transmission optical path interruptions.From theoretical model analysis to onsite validation,the system’s automated sensing accuracy can effectively support self-intelligent operation and maintenance of transmission optical networks.This lays a solid foundation for the intelligence of all-optical network infrastructure.

关 键 词：6G 光层大数据 AI算力 通感算一体化 

分 类 号：TN913.7[电子电信—通信与信息系统]