Advances in UAV Networks Towards 6G

A special issue of Drones (ISSN 2504-446X). This special issue belongs to the section "Drone Communications".

Deadline for manuscript submissions: 15 May 2025 | Viewed by 745

Special Issue Editors


E-Mail Website
Guest Editor
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: wireless communications and networking technology

E-Mail Website
Guest Editor
School of Information and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
Interests: intelligent communication and computing fusion system; wireless large model; edge learning; holographic communication
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Electrical and Computer Engineering Department, University of Miami, Coral Gables, FL 33146, USA
Interests: machine learning and artificial intelligence (AI) for wireless networks; unmanned aerial vehicle over wireless networks; semantic communications

Special Issue Information

Dear Colleagues,

Unmanned Aerial Vehicles (UAVs) have been widely accepted as one of the potential technologies for future six-generation (6G) networks. On the one hand, UAVs can serve as aerial relays and access points (APs) to extend the coverage range of networks and provide communication connectivity. On the other hand, UAVs can also be flexibly deployed as aerial servers to provide computing ability, such as mobile edge computing-enabled UAV networks. Different from ground base stations in cellular networks, UAVs are characterized by the high mobility, which brings new optimization perspectives, such as cooperative control, positioning, and trajectory design. Furthermore, UAV networks are characterized by unique channel attributes of UAV–ground links, asymmetric quality of service (QoS) demands for downlink commands and uplink data transmission, and energy limitations. These distinctive features make the deployment of UAVs in future 6G networks a challenging issue that requires innovative strategies to ensure effective integration and operation.

The aim of this Special Issue is to spotlight the latest advancements in UAV network technologies toward 6G integration and emphasize their real-world applications within communication systems. This Special Issue seeks to attract academics, researchers, professionals, and engineers working on, but not limited to, the following key areas within UAV networks and 6G communication for future sustainable and efficient connectivity solutions.

This Special Issue aims to gather cutting-edge research, innovative methods, and practical applications of UAV networks towards 6G. The scope of topics includes, but is not limited to, the following:

  • Joint trajectory design and resource allocation for UAV-assisted wireless communications;
  • UAV swarm in 6G wireless applications;
  • Joint control and optimization in satellite-UAV-ground networks;
  • Cooperative positioning and navigation in UAV networks;
  • Data collection in UAV networks;
  • Energy-efficient UAV communications;
  • Positioning and localization in UAV networks;
  • Channel modeling for UAV-ground and UAV-UAV communications;
  • Three-dimensional beamforming for cellular-connected UAVs;
  • Massive MIMO/millimeter wave communications for UAVs;
  • Security in UAV-aided wireless networks.

Prof. Dr. Changchuan Yin
Dr. Zhaohui Yang
Dr. Mingzhe Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Drones is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • UAV swarm
  • integrated space–air–ground networks
  • positioning
  • trajectory design
  • data collection

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

28 pages, 910 KiB  
Article
Virtual Force-Based Swarm Trajectory Design for Unmanned Aerial Vehicle-Assisted Data Collection Internet of Things Networks
by Xuanlin Liu, Sihua Wang and Changchuan Yin
Drones 2025, 9(1), 28; https://doi.org/10.3390/drones9010028 - 3 Jan 2025
Viewed by 528
Abstract
In this paper, the problem of trajectory design for unmanned aerial vehicle (UAV) swarms in data collection Internet of Things (IoT) networks is studied. In the considered model, the UAV swarm is deployed to patrol a designated area and collect status information from [...] Read more.
In this paper, the problem of trajectory design for unmanned aerial vehicle (UAV) swarms in data collection Internet of Things (IoT) networks is studied. In the considered model, the UAV swarm is deployed to patrol a designated area and collect status information from sensors monitoring physical processes. The sense-collect-interchange-explore (SCIE) protocol is proposed to regulate UAV actions, ensuring synchronization and adaptability in a distributed manner. To maintain real-time monitoring while reducing data transmission, we introduce status freshness, which is an extension of age of information (AoI) and allows negative values to reflect the swarm’s predictive capabilities. The trajectory design problem is then formulated as an optimization problem to minimize average status freshness. A virtual force-based algorithm is developed to solve this problem, where UAVs are influenced by attractive forces from sensors and repulsive forces from neighbors. These forces guide UAVs toward sensors requiring data transmission while reducing communication overlap. The proposed distributed algorithm allows each UAV to independently design its trajectory, reducing redundancy and enhancing scalability. Simulation results show that the proposed method can significantly reduce average status freshness under the same energy efficiency conditions compared to artificial potential field algorithm. The proposed method also achieves significantly reduction in terms of communication overhead, compared to fully connected strategies, ensuring scalability in large-scale UAV deployments. Full article
(This article belongs to the Special Issue Advances in UAV Networks Towards 6G)
Show Figures

Figure 1

Back to TopTop