Near-Space Communications: the Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle
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Abstract (arXiv)
This article presents a comprehensive study on the emerging near-space communications (NS-COM) within the context of space-air-ground-sea integrated network (SAGSIN). Specifically, we firstly explore the recent technical developments of NS-COM, followed by the discussions about motivations behind integrating NS-COM into SAGSIN. To further demonstrate the necessity of NS-COM, a comparative analysis between the NS-COM network and other counterparts in SAGSIN is conducted, covering aspects of deployment, coverage, channel characteristics and unique problems of NS-COM network. Afterwards, the technical aspects of NS-COM, including channel modeling, random access, channel estimation, array-based beam management and joint network optimization, are examined in detail. Furthermore, we explore the potential applications of NS-COM, such as structural expansion in SAGSIN communication, civil aviation communication, remote and urgent communication, weather monitoring and carbon neutrality. Finally, some promising research avenues are identified, including stratospheric satellite (StratoSat) -to-ground direct links for mobile terminals, reconfigurable multiple-input multiple-output (MIMO) and holographic MIMO, federated learning in NS-COM networks, maritime communication, electromagnetic spectrum sensing and adversarial game, integrated sensing and communications, StratoSat-based radar detection and imaging, NS-COM assisted enhanced global navigation system, NS-COM assisted intelligent unmanned system and free space optical (FSO) communication. Overall, this paper highlights that the NS-COM plays an indispensable role in the SAGSIN puzzle, providing substantial performance and coverage enhancement to the traditional SAGSIN architecture.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Dec 2023.
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Citing papers per year: 2024: 2; 2025: 3; 2026: 1.
6 papers.
- 2025Generative Video Semantic Communication via Multimodal Semantic Fusion with Large Modelcited by 9
- 2024CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channelscited by 5
- 2024Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Networkcited by 4
- 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approachescited by 2
- 2025Large Model Enabled Embodied Intelligence for 6G Integrated Perception, Communication, and Computation Networkcited by 2
- 2026MD-AirComp+: Adaptive Quantization for Blind Massive Digital Over-the-Air Computationcited by 0
- 2026MD-AirComp+: Adaptive Quantization for Blind Massive Digital Over-the-Air Computation20 Feb 2026
- 2025Large Model Enabled Embodied Intelligence for 6G Integrated Perception, Communication, and Computation Network17 Dec 2025
- 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches19 Jul 2025
- 2025Generative Video Semantic Communication via Multimodal Semantic Fusion with Large Model19 Feb 2025
- 2024CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels5 Jun 2024
- 2024Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network30 May 2024