Work

Uplink RSMA in LEO Satellite Communications: A Perspective From Generative Artificial Intelligence

Year: 2025

Type: article

Source: IEEE Transactions on Vehicular Technology

DOI: 10.1109/tvt.2025.3579713

Authors: Kan Wang, Xingjie Wang, Nan Zhao, Xu Yang, Hai Fang, Dusit Niyato

Institutions: Xi'an University of Technology, Dalian University of Technology, Xi'an Institute of Space Radio Technology, Nanyang Technological University

Language: English

Topic: Satellite Communication Systems

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality

Awards: G29569701, G3572481298

OpenAlex ID: W4411359115

FWCI: 4.397

Cites: 15

Cited by: 11

Related to: 10