Point-to-Point Communication in Integrated Satellite-Aerial Networks: State-of-the-art and Future Challenges
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Abstract (arXiv)
This paper overviews point-to-point (P2P) links for integrated satellite-aerial networks, which are envisioned to be among the key enablers of the sixth-generation (6G) of wireless networks vision. The paper first outlines the unique characteristics of such integrated large-scale complex networks, often denoted by spatial networks, and focuses on two particular space-air infrastructures, namely, satellites networks and high-altitude platforms (HAPs). The paper then classifies the connecting P2P communications links as satellite-to-satellite links at the same layer (SSLL), satellite-to-satellite links at different layers (SSLD), and HAP-to-HAP links (HHL). The paper overviews each layer of such spatial networks separately, and highlights the possible natures of the connecting links (i.e., radio-frequency or free-space optics) with a dedicated overview to the existing link-budget results. The paper, afterwards, presents the prospective merit of realizing such an integrated satellite-HAP network towards providing broadband services in under-served and remote areas. Finally, the paper sheds light on several future research directions in the context of spatial networks, namely large-scale network optimization, intelligent offloading, smart platforms, energy efficiency, multiple access schemes, and distributed spatial networks.
Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). First posted on arXiv 11 Dec 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1.
4 papers.
- 2022FedHAP: Fast Federated Learning for LEO Constellations Using Collaborative HAPscited by 21
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directionscited by 10
- 2021Learning Emergent Random Access Protocol for LEO Satellite Networkscited by 3
- 2022Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networkscited by 2
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions5 Jul 2024
- 2022Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networks27 May 2022
- 2022FedHAP: Fast Federated Learning for LEO Constellations Using Collaborative HAPs15 May 2022
- 2021Learning Emergent Random Access Protocol for LEO Satellite Networks3 Dec 2021