학술논문

Satellite Aerial Terrestrial Hybrid NOMA Scheme in 6G Networks: An Unsupervised Learning Approach
Document Type
Conference
Source
2022 1st International Conference on 6G Networking (6GNet) 6G Networking (6GNet), 2022 1st International Conference on. :1-5 Jul, 2022
Subject
Communication, Networking and Broadcast Technologies
6G mobile communication
NOMA
Base stations
Satellites
Hybrid power systems
Unsupervised learning
6G
Hybrid NOMA/OMA
Machine Learning
Satellite
UAV
Language
Abstract
Hybrid satellite aerial terrestrial networks (HSATNs) are a promising solution towards tackling coverage and mobility issues in sixth generation (6G) networks. This paper presents a novel transmission scheme in the context of HSATNs, which allows pairs of terrestrial users to be simultaneously served via the satellite and the aerial base station (ABS). To this aim, non-orthogonal multiple access (NOMA) technique is adopted, at the ABS, by applying a rule-based hybrid NOMA and orthogonal multiple access (OMA) schemes. Comparisons between a standalone NOMA-based satellite transmission and the proposed method, reveal that significant sum-rate gains can be harvested under varying system parameters.