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Integrated Sensing, Communications, and Computation Services in Low-Altitude Economy Networks: A Comprehensive Survey

  • Zhiyuan Liang
  • , Bintao Hu*
  • , Songjiang Yang
  • , Jianbo Du
  • , Rui Pei
  • , Yue Yin
  • *Corresponding author for this work
  • Xi'an Jiaotong-Liverpool University
  • Northeastern University China
  • Xi'an Institute of Posts and Telecommunications
  • Keio University

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

The low-altitude economy (LAE) encompasses the commercial and operational use of airspace below 1000 meters, supporting applications such as drone logistics, urban air mobility, and aerial sensing. The effective deployment of these applications necessitates highly integrated sensing, communication, and computation (ISCC) capabilities. Integrating these diverse technologies poses significant challenges for conventional network architectures and resource management strategies. This survey reviews recent progress in addressing these challenges within LAE networks, specifically focusing on advancements enabled by unmanned aerial vehicle (UAV)-assisted systems. It analyses the role of these systems in improving service delivery, optimising resource utilisation, and enhancing quality of experience (QoE) across diverse LAE scenarios. Furthermore, the survey explores various joint optimisation frameworks developed to address core challenges, including energy efficiency, latency minimisation, and dynamic resource allocation under the stringent mobility constraints inherent to LAE operations. Although significant research has advanced the field, critical open issues persist. Key limitations involve the practical scalability of current AI-enhanced methods and the growing demand to support emerging, resource-intensive applications such as augmented reality (AR), generative AI (GenAI) models deployed at the edge, and large-scale digital twin systems. This survey aims to provide a foundational reference for researchers working towards developing scalable and intelligent network solutions for the evolving LAE domain.

Original languageEnglish
Title of host publicationProceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331555221
DOIs
Publication statusPublished - 2025
Event2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025 - Suzhou, China
Duration: 7 Nov 20259 Nov 2025

Publication series

NameProceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025

Conference

Conference2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025
Country/TerritoryChina
CitySuzhou
Period7/11/259/11/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • edge intelligence
  • integrated sensing and communication
  • Low-altitude economy
  • mobile edge caching
  • mobile edge computing
  • resource management
  • unmanned aerial vehicles

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