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Ten issues of NetGPT

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arxiv 2311.13106 v1 pith:QVMGN53R submitted 2023-11-22 cs.NI

Wen Tong , Chenghui Peng , Tingting Yang , Fei Wang , Juan Deng , Rongpeng Li , Lu Yang , Honggang Zhang
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Dong Wang Ming Ai Li Yang Guangyi Liu Yang Yang Yao Xiao Liexiang Yue Wanfei Sun Zexu Li Wenwen Sun
This is my paper · ORCID
classification cs.NI
keywords modelsnetgptwirelessapplicationcommunicationsfoundationissuesnetwork
verification ladder T0 review T1 audit T2 compute T3 formal
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With the rapid development and application of foundation models (FMs), it is foreseeable that FMs will play an important role in future wireless communications. As current Artificial Intelligence (AI) algorithms applied in wireless networks are dedicated models that aim for different neural network architectures and objectives, drawbacks in aspects of generality, performance gain, management, collaboration, etc. need to be conquered. In this paper, we define NetGPT (Network Generative Pre-trained Transformer) -- the foundation models for wireless communications, and summarize ten issues regarding design and application of NetGPT.

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Cited by 2 Pith papers

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  1. Text2Net: Transforming Plain-text To A Dynamic Interactive Network Simulation Environment

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  2. Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities

    cs.NI 2024-12 conditional novelty 3.0 of 10

    This overview paper structures the convergence of AI and 6G into three stages and proposes a Quality of AI Service framework for measuring AI services in future networks.

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