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network Meets ChatGPT:Intent Autonomous Management,Control and Operation

Journal of Communications and Information networks 2023年第3期8卷 239-255页

作者： Jingyu Wang Lei Zhang Yiran Yang Zirui Zhuang Qi Qi Haifeng Sun Lu Lu Junlan Feng Jianxin Liao State Key Laboratory of networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100000China China Unicom network Communications Co. Ltd.Beijing 100000China China Mobile Research Institute Beijing 100000China

Telecommunication has undergone significant transformations due to the continuous advancements in internet technology,mobile devices,competitive pricing,and changing customer ***,the most recent iteration of OpenAI’s large language model chat generative pre-trained transformer(ChatGPT)has the potential to propel innovation and bolster operational performance in the telecommunications ***,the exploration of network resource management,control,and operation is still in the initial *** this paper,we propose a novel network artificial intelligence architecture named language model for network traffic(NetLM),a large language model based on a transformer designed to understand sequence structures in the network packet data and capture their underlying *** continual convergence of knowledge space and artificial intelligence(AI)technologies constitutes the core of intelligent network management and ***-modal representation learning is used to unify the multi-modal information of network indicator data,traffic data,and text data into the same feature ***,a NetLM-based control policy generation framework is proposed to refine intent incrementally through different abstraction ***,some potential cases are provided that NetLM can benefit the telecom industry.

关键词： network management and control architecture generative pre-trained transformer intent-based networking NetLM network knowledge

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Research on network Cognition Model and Mechanism of Intelligent Information network

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China Communications 2023年第2期20卷 257-277页

作者： Nannan Dong Hao Yin Baoquan Ren Hongjun Li Xiangwu Gong Xudong Zhong Junmei Han Jiazheng Lyu College of Intelligent Systems Science and Engineering Harbin Engineering UniversityHarbin 150001China Institute of Systems Engineering AMSPLABeijing 100000China

Intellectualization has been an inevitable trend in the information network,allowing the network to achieve the capabilities of self-learning,self-optimization,and self-evolution in the dynamic *** to the strong adaptability to the environment,the cognitive theory methods from psychology gradually become an excellent approach to construct the intelligent information network(IIN),making the traditional definition of the intelligent information network no longer ***,the thinking capability of existing IINs is always *** paper redefines the intelligent information network and illustrates the required properties of the architecture,core theory,and critical technologies by analyzing the existing intelligent information ***,we innovatively propose a novel network cognition model with the network knowledge to implement the intelligent information *** proposed model can perceive the overall environment data of the network and extract the knowledge from the *** the model’s core,the knowledge guides the model to generate the optimal decisions adapting to the environmental *** last,we present the critical technologies needed to accomplish the proposed network cognition model.

关键词： intelligent information network network cognition multi-domain perception network knowledge

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