A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future
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Abstract (arXiv)
A High Altitude Platform Station (HAPS) is a network node that operates in the stratosphere at an of altitude around 20 km and is instrumental for providing communication services. Precipitated by technological innovations in the areas of autonomous avionics, array antennas, solar panel efficiency levels, and battery energy densities, and fueled by flourishing industry ecosystems, the HAPS has emerged as an indispensable component of next-generations of wireless networks. In this article, we provide a vision and framework for the HAPS networks of the future supported by a comprehensive and state-of-the-art literature review. We highlight the unrealized potential of HAPS systems and elaborate on their unique ability to serve metropolitan areas. The latest advancements and promising technologies in the HAPS energy and payload systems are discussed. The integration of the emerging Reconfigurable Smart Surface (RSS) technology in the communications payload of HAPS systems for providing a cost-effective deployment is proposed. A detailed overview of the radio resource management in HAPS systems is presented along with synergistic physical layer techniques, including Faster-Than-Nyquist (FTN) signaling. Numerous aspects of handoff management in HAPS systems are described. The notable contributions of Artificial Intelligence (AI) in HAPS, including machine learning in the design, topology management, handoff, and resource allocation aspects are emphasized. The extensive overview of the literature we provide is crucial for substantiating our vision that depicts the expected deployment opportunities and challenges in the next 10 years (next-generation networks), as well as in the subsequent 10 years (next-next-generation networks).
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Jul 2020.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 2; 2024: 3; 2025: 5.
14 papers.
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- 2021Graph-based Deep Learning for Communication Networks: A Surveycited by 21
- 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
- 2024Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDMcited by 6
- 2025Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networkscited by 5
- 2022Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networkscited by 2
- 2024Non-iterative Optimization of Trajectory and Radio Resource for Aerial Networkcited by 2
- 2025Multi-Functional RIS-Enabled in SAGIN for IoT: A Hybrid Deep Reinforcement Learning Approach with Compressed Twin-Modelscited by 2
- 2023FLSTRA: Federated Learning in Stratospherecited by 1
- 2025Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networkscited by 1
- 2022VHetNets for AI and AI for VHetNets: An Anomaly Detection Case Study for Ubiquitous IoTcited by 0
- 2023AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertaintycited by 0
- 2025Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networks22 Oct 2025
- 2025Multi-Functional RIS-Enabled in SAGIN for IoT: A Hybrid Deep Reinforcement Learning Approach with Compressed Twin-Models22 Jul 2025
- 2025AoI-Aware Resource Allocation with Deep Reinforcement Learning for HAPS-V2X Networks21 Jul 2025
- 2025Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks6 Jun 2025
- 2025Multi-Agent DRL for Queue-Aware Task Offloading in Hierarchical MEC-Enabled Air-Ground Networks5 Mar 2025
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions5 Jul 2024
- 2024Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network2 May 2024
- 2024Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM1 Jan 2024
- 2023AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty1 May 2023
- 2023FLSTRA: Federated Learning in Stratosphere1 Feb 2023
- 2022VHetNets for AI and AI for VHetNets: An Anomaly Detection Case Study for Ubiquitous IoT14 Oct 2022
- 2022Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networks27 May 2022
- 2021Graph-based Deep Learning for Communication Networks: A Surveycited by 21
- 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
- 2024Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDMcited by 6
- 2025Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networkscited by 5
- 2022Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networkscited by 2
- 2024Non-iterative Optimization of Trajectory and Radio Resource for Aerial Networkcited by 2
- 2025Multi-Functional RIS-Enabled in SAGIN for IoT: A Hybrid Deep Reinforcement Learning Approach with Compressed Twin-Modelscited by 2
- 2023FLSTRA: Federated Learning in Stratospherecited by 1
- 2025Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networkscited by 1
- 2022VHetNets for AI and AI for VHetNets: An Anomaly Detection Case Study for Ubiquitous IoTcited by 0
- 2023AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertaintycited by 0
12 most cited of 14 All 14 (JSON)
- 2025Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networks22 Oct 2025
- 2025Multi-Functional RIS-Enabled in SAGIN for IoT: A Hybrid Deep Reinforcement Learning Approach with Compressed Twin-Models22 Jul 2025
- 2025AoI-Aware Resource Allocation with Deep Reinforcement Learning for HAPS-V2X Networks21 Jul 2025
- 2025Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks6 Jun 2025
- 2025Multi-Agent DRL for Queue-Aware Task Offloading in Hierarchical MEC-Enabled Air-Ground Networks5 Mar 2025
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions5 Jul 2024
- 2024Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network2 May 2024
- 2024Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM1 Jan 2024
- 2023AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty1 May 2023
- 2023FLSTRA: Federated Learning in Stratosphere1 Feb 2023
- 2022VHetNets for AI and AI for VHetNets: An Anomaly Detection Case Study for Ubiquitous IoT14 Oct 2022
- 2022Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networks27 May 2022
12 newest of 14 All 14 (JSON)