Ten issues of NetGPT

Wen Tong; Chenghui Peng; Tingting Yang; Fei Wang; Juan Deng; Rongpeng Li; Lu Yang; Honggang Zhang; Dong Wang; Ming Ai; Li Yang; Guangyi Liu; Yang Yang; Yao Xiao; Liexiang Yue; Wanfei Sun; Zexu Li; Wenwen Sun

Ten issues of NetGPT

Networking and Internet Architecture 2023-11-23 v1

Authors: Wen Tong , Chenghui Peng , Tingting Yang , Fei Wang , Juan Deng , Rongpeng Li , Lu Yang , Honggang Zhang , Dong Wang , Ming Ai , Li Yang , Guangyi Liu , Yang Yang , Yao Xiao , Liexiang Yue , Wanfei Sun , Zexu Li , Wenwen Sun

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Abstract

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.

Keywords

foundation model network protocol

Cite

@article{arxiv.2311.13106,
  title  = {Ten issues of NetGPT},
  author = {Wen Tong and Chenghui Peng and Tingting Yang and Fei Wang and Juan Deng and Rongpeng Li and Lu Yang and Honggang Zhang and Dong Wang and Ming Ai and Li Yang and Guangyi Liu and Yang Yang and Yao Xiao and Liexiang Yue and Wanfei Sun and Zexu Li and Wenwen Sun},
  journal= {arXiv preprint arXiv:2311.13106},
  year   = {2023}
}

Ten issues of NetGPT

Abstract

Keywords

Cite

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