mlsanityData to 14 Oct 2026

Empowering Intelligent Low-altitude Economy with Large AI Model Deployment

arXiv 2505.22343 ↗First posted 28 May 2025eess.SP cs.AIcited by 4

Not on the map. Why?

Abstract (arXiv)

Low-altitude economy (LAE) represents an emerging economic paradigm that redefines commercial and social aerial activities. Large artificial intelligence models (LAIMs) offer transformative potential to further enhance the intelligence of LAE services. However, deploying LAIMs in LAE poses several challenges, including the significant gap between their computational/storage demands and the limited onboard resources of LAE entities, the mismatch between lab-trained LAIMs and dynamic physical environments, and the inefficiencies of traditional decoupled designs for sensing, communication, and computation. To address these issues, we first propose a hierarchical system architecture tailored for LAIM deployment and present representative LAE application scenarios. Next, we explore key enabling techniques that facilitate the mutual co-evolution of LAIMs and low-altitude systems, and introduce a task-oriented execution pipeline for scalable and adaptive service delivery. Then, the proposed framework is validated through real-world case studies. Finally, we outline open challenges to inspire future research.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 12 of its 19 references that are in the map. First posted on arXiv 28 May 2025.

Builds on

12 of 19 references.

References · 12

  1. 2023A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6Gcited by 61
  2. 2024Generative AI based Secure Wireless Sensing for ISAC Networkscited by 20
  3. 2024Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigmcited by 13
  4. 2024Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networkscited by 13
  5. 2024A Survey on Integrated Sensing, Communication, and Computationcited by 12
  6. 2021UAV-aided Radio Map Construction Exploiting Environment Semanticscited by 11
  7. 2025Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networkingcited by 11
  8. 2021Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communicationcited by 10
  9. 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directionscited by 10
  10. 2025The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networkscited by 7
  11. 2024Embodied AI-empowered Low Altitude Economy: Integrated Sensing, Communications, Computation, and Control (ISC3)cited by 4
  12. 2024Cost-Efficient Computation Offloading in SAGIN: A Deep Reinforcement Learning and Perception-Aided Approachcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

  1. 2025UAVBench: An Open Benchmark Dataset for Autonomous and Agentic AI UAV Systems via LLM-Generated Flight Scenarioscited by 13
  2. 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approachescited by 2
  3. 2026RadioGen3D: 3D Radio Map Generation via Adversarial Learning on Large-Scale Synthetic Datacited by 0
  4. 2026UAV-Assisted Cooperative Edge Inference for Low-Altitude Economy via MoE-based Hierarchical Deep Reinforcement Learningcited by 0