Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission
Nanyang Technological University · University of Hong Kong · +4 more institutions
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 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 to design transmission strategies. Specifically, we leverage large language models (LLMs) to build an interactive modeling paradigm and utilize…
Citation impact
- FWCI
- 178.10
- Percentile
- 100%
- References
- 45
Authors
8Topics & keywords
- Computer science
- Generative grammar
- Transmission (telecommunications)
- Artificial intelligence
- Satellite
- Language model
- Natural language processing
- Generative model