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Interactive Generative AI Agents for Satellite Networks through a Mixture of Experts Transmission
April 16, 2024, 4:43 a.m. | Ruichen Zhang, Hongyang Du, Yinqiu Liu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, Dong In Kim
cs.LG updates on arXiv.org arxiv.org
Abstract: In response to the needs of 6G global communications, satellite communication networks have emerged as a key solution. However, the large-scale development of satellite communication networks is constrained by the complex system models, whose modeling is challenging for massive users. Moreover, transmission interference between satellites and users seriously affects communication performance. To solve these problems, this paper develops generative artificial intelligence (AI) agents for model formulation and then applies a mixture of experts (MoE) approach …
abstract agents ai agents arxiv communication communications cs.lg cs.ni development experts generative global however interactive key massive mixture of experts modeling networks satellite scale solution through type
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