Optimizing User Access in Satellite-Terrestrial Networks
Author Information
Author(s): Xin Peizhe, Fu Zihao, Chen Zhiyi, Jiang Jing, Zou Jing, Zhang Yu, Hu Xinyue
Primary Institution: State Grid Economic and Technological Research Institute Co., Ltd.
Hypothesis
Can a two-stage algorithm improve resource optimization in NOMA-based integrated satellite-terrestrial networks?
Conclusion
The proposed algorithm effectively maximizes the achievable sum rate in NOMA-based networks by optimizing user access and resource allocation.
Supporting Evidence
- The algorithm allows users to choose between terrestrial base stations and satellites based on their needs.
- Simulation results validate the effectiveness of the proposed algorithm.
- Users prefer terrestrial base stations when they have sufficient capacity.
- The overall system performance peaks when the number of users matches the number of antennas.
Takeaway
This study shows how users can choose between satellite and ground stations for better internet access, and a new method helps make this choice smarter.
Methodology
A two-stage algorithm was developed to optimize user association and power allocation in a NOMA-based integrated satellite-terrestrial network.
Limitations
The study primarily considers scenarios with fixed user associations and may not account for all real-world variables.
Digital Object Identifier (DOI)
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