Call for Papers

Periodically, we will organize Special Issues–proposals are always welcome. This is an opportunity to focus the content of an issue on a particular theme, which provides a unique coherence to the subject matter. Often, such Special Issues become valuable go-to resources for those working in the field and for those who want a convenient on-ramp to subjects in the field.


IEEE Journal on Miniaturization for Air and Space Systems Special Issue on Network Intelligence for Unmanned Aerial Vehicles

Unmanned aerial vehicles (UAVs) are experiencing high growth rates and are utilized in a
wide array of applications such as remote sensing, surveillance, environmental monitoring, and
disaster management. Supporting such UAV-based applications necessitates advanced
communication and networking technologies for two main reasons. The applications requiring
computation-intensive data analysis pose a challenge to the limited battery life and on-board
computing capability of UAVs, which requires the support of remote servers via networks.
Besides, as UAV-based applications become complex, the requirements of timely data
transmission for each UAV and reliable communication for collaboration among UAVs are
increasingly strict.

With the recent advancements in artificial intelligence (AI), the sixth generation (6G)
networks are anticipated to incorporate various AI techniques natively, referred to as network
intelligence, providing new opportunities for UAV-based applications. By leveraging AI
techniques, network intelligence holds potential to facilitate automatically identifying the time-
varying demands of UAV-enabled applications and adaptively scheduling network resources
towards on-demand service provision. However, the highly dynamic network topologies, weakly
connected communication links, and various requirements of UAV-based applications challenge
the design of network intelligence. This special issue invites original and breakthrough research
in the field of network intelligence for UAVs. Topics include, but are not limited to, the

  • Intelligent network architecture for UAVs
  • Intelligent network protocol designs for UAVs
  • Intelligent communication and networking technologies for UAVs
  • Intelligent UAV-assisted edge computing
  • Network intelligence for UAV-assisted sensing
  • Network intelligence for UAV deployment and trajectory design
  • Network intelligence for UAV navigation
  • AI-based network virtualization technologies, e.g., network slicing, for UAVs
  • AI-based network resource management for UAVs
  • AI-based UAV communication technologies, e.g., mmWave, Reconfigurable intelligent surfaces
  • Federated learning and distributed learning for UAVs
  • Distributed computing for UAVs
  • Tiny deep learning technologies for UAVs
  • Network digital twin for UAVs
  • Integrated sensing and communication related to UAVs
  • On-demand service provisioning with/for UAVs
  • Testing and evaluation tools of network intelligence for UAVs
  • Security and privacy issues of network intelligence for UAVs

Guest Editor:

Zan Li, Xidian University,
Katsuya Suto, The University of Electro-Communications,
Ling Lyu, Dalian Maritime University,
Conghao Zhou, University of Waterloo,
Nan Cheng, Xidian University,
Wei Zhang, The University of New South Wales,


Manuscript SubmissionManuscript ReviewEstimated Publication
February 1 – July 31, 2024As received – Sep. 30, 2024Q4 2024

Manuscript Submission:

Manuscripts with supporting documents are submitted to the web-based
portal: (select “Regular Paper” for “Article Type”).
Submission requirements include:

  1. A Cover Letter clearly identifying the paper as a submission for the Special Issue. Any
    changes to the author list between the original article and the new submission must be
    explained with all co-authors (original, new, removed) as co-signers.
  2. The manuscript.
  3. The name of the Special Issue should be included in the upper right-hand corner of every
    document submitted.
  4. Additional details available on the manuscript submission
    portal, and on J-MASS information