Key Technologies and Applications of High Level Autonomous Networks
The popularity and evolution of autonomous network in the communication industry are introduced,focusing on the analysis of large language model(LLM)and digital twins as key driving forces for advancing autonomous network to a higher level.The application of LLM in communication networks demonstrates their irreplaceable advantages,and evolving technologies such as retrieval-augmented gen-eration(RAG)are gradually enhancing their adaptability to communication network scenarios.In practical applications,the combination of large and small models,along with the collaborative work of multiple AI Agents,provides effective means for handling complex scenario analysis and task execution.Digital twin technology offers an important tool for risk control in the development of high-level autonomous networks,with technical focuses including the precise construction of feature network models,efficient data management techniques,and the refinement of distributed digital twin systems.The integration of LLM and digital twin technology not only helps networks deeply under-stand user intentions,make autonomous decisions,and execute tasks,but also provides solid technical support for autonomous network to move towards a higher stage.
autonomous networklarge language modeldigital twin
NETL
NSTL
万方数据
