A Survey on Non-Geostationary Satellite Systems: The Communication Perspective
Not on the map. Why?
Abstract (arXiv)
The next phase of satellite technology is being characterized by a new evolution in non-geostationary orbit (NGSO) satellites, which conveys exciting new communication capabilities to provide non-terrestrial connectivity solutions and to support a wide range of digital technologies from various industries. NGSO communication systems are known for a number of key features such as lower propagation delay, smaller size, and lower signal losses in comparison to the conventional geostationary orbit (GSO) satellites, which can potentially enable latency-critical applications to be provided through satellites. NGSO promises a substantial boost in communication speed and energy efficiency, and thus, tackling the main inhibiting factors of commercializing GSO satellites for broader utilization. The promised improvements of NGSO systems have motivated this paper to provide a comprehensive survey of the state-of-the-art NGSO research focusing on the communication prospects, including physical layer and radio access technologies along with the networking aspects and the overall system features and architectures. Beyond this, there are still many NGSO deployment challenges to be addressed to ensure seamless integration not only with GSO systems but also with terrestrial networks. These unprecedented challenges are also discussed in this paper, including coexistence with GSO systems in terms of spectrum access and regulatory issues, satellite constellation and architecture designs, resource management problems, and user equipment requirements. Finally, we outline a set of innovative research directions and new opportunities for future NGSO research.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jul 2021.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 4; 2025: 6; 2026: 2.
12 papers.
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directionscited by 10
- 2024Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Modelscited by 7
- 2024On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networkscited by 4
- 2024Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classificationcited by 2
- 2025AI-Native Open RAN for Non-Terrestrial Networks: An Overviewcited by 1
- 2025Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Predictioncited by 0
- 2025SmartUT: Receive Beamforming for Spectral Coexistence of NGSO Satellite Systemscited by 0
- 2025OrbitChain: Orchestrating In-orbit Real-time Analytics of Earth Observation Datacited by 0
- 2025Asynchronous Risk-Aware Multi-Agent Packet Routing for Ultra-Dense LEO Satellite Networkscited by 0
- 2025OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centerscited by 0
- 2026Adversarial Water-Filling: Theory, Algorithms, and a Domain-Specific Wireless Foundation Modelcited by 0
- 2026STR-Agent: An LLM-Driven Agent for QoS-Aware Routing in LEO Satellite Networkscited by 0
- 2026STR-Agent: An LLM-Driven Agent for QoS-Aware Routing in LEO Satellite Networks17 Sep 2026
- 2026Adversarial Water-Filling: Theory, Algorithms, and a Domain-Specific Wireless Foundation Model24 May 2026
- 2025OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers30 Dec 2025
- 2025Asynchronous Risk-Aware Multi-Agent Packet Routing for Ultra-Dense LEO Satellite Networks31 Oct 2025
- 2025OrbitChain: Orchestrating In-orbit Real-time Analytics of Earth Observation Data18 Aug 2025
- 2025AI-Native Open RAN for Non-Terrestrial Networks: An Overview16 Jul 2025
- 2025SmartUT: Receive Beamforming for Spectral Coexistence of NGSO Satellite Systems12 May 2025
- 2025Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction28 Feb 2025
- 2024Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification31 Oct 2024
- 2024On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks23 Sep 2024
- 2024Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models5 Sep 2024
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions5 Jul 2024