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Wireless Communications with Unmanned Aerial Vehicle

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 2337

Special Issue Editors


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Guest Editor
ISCTE-IUL and Instituto de Telecomunicações, 1649-026 Lisboa, Portugal
Interests: mobile and personal communications; channel coding; satellite communications; spread spectrum communications
Special Issues, Collections and Topics in MDPI journals
1. Faculty of Sciences and Technology, Universidade Nova, 2829-516 Caparica, Portugal
2. Instituto de Telecomunicações, 1049-001 Lisboa, Portugal
Interests: wireless communications; wireless systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. ISCTE – Instituto Universitário de Lisboa, 1649-026 Lisbon, Portugal
2. Instituto de Telecomunicacoes, Lisbon, Portugal
Interests: signal processing for communications; communication signal transmission; reception and detection algorithms; channel estimation and modeling; MIMO communications; performance analysis of communication systems; optimization techniques in wireless communications; wireless, ad hoc and sensor networks

Special Issue Information

Dear Colleagues,

The importance of unmanned aerial vehicles (UAVs) is growing every day, as they can perform a variety of services that are faster and more sophisticated, safer, or simply more economical than other systems or humans can handle.

As wireless controlled systems, UAVs also need many other technologies for their success. For example, their energy systems not only need to be efficient, to provide greater autonomy, but also smart so that they can collect energy in many different forms. Different wireless technologies are also needed to guarantee robustness and the diversity of frequency bands and systems, for example, using terrestrial and satellite security with a very high degree of service reliability to ensure that these vehicles can successfully accomplish their missions without being interfered, detected or captured.

With this in mind, there are many possible contributions that are welcome for this Special Issue, including, but not limited to, the following:

  • path planning and robust navigation;
  • massive MIMO systems;
  • autonomy and smart decision planning;
  • energy-efficient UAVs;
  • reliability, see/sense-detect-and-avoid systems;
  • smart sensors for UAVs;
  • security, risk assessment, advanced guidance and control algorithms using AI;
  • fail-safe systems;
  • manned/unmanned aviation;
  • reconfigurable intelligent surface-assisted UAV communications;
  • UAV-to-UAV communications;
  • higher frequency (mmWave/THz) UAV communications;
  • cell-free architectures;
  • intelligent and resilient UAV communications;
  • channel modelling and mobility management;
  • interoperability and new concept vehicles.

Prof. Dr. Francisco Cercas
Dr. Rui Dinis
Dr. Nuno Manuel Branco Souto
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. Sensors is an international peer-reviewed open access semimonthly 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.

Published Papers (2 papers)

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Research

14 pages, 2061 KiB  
Article
Clustering and Beamwidth Optimization for UAV-Assisted Wireless Communication
by Weidong Zhao, Jun Zhang and Dongxing Li
Sensors 2023, 23(23), 9614; https://doi.org/10.3390/s23239614 - 04 Dec 2023
Viewed by 659
Abstract
With the development of wireless communication technology, unmanned aerial vehicles (UAV) are now widely used in many complex communication scenarios. When a UAV serves as an aerial base station for urban and rural ground users or marine users, it is necessary to consider [...] Read more.
With the development of wireless communication technology, unmanned aerial vehicles (UAV) are now widely used in many complex communication scenarios. When a UAV serves as an aerial base station for urban and rural ground users or marine users, it is necessary to consider the clustering of ground users and the energy efficiency of the UAV since the users are usually randomly distributed. For the scenario with randomly distributed ground users and different densities of ground users in urban and rural areas, a clustering and beamwidth optimization method for UAV-assisted wireless communication is proposed. Firstly, the energy efficiency expression of a UAV serving ground users was derived in a downlink wireless communication system assisted by a UAV. Secondly, based on the geographical location information of non-uniformly distributed users, an improved k-means method is proposed to cluster ground users, ensuring that the number of users in each cluster is within an appropriate range. Then, based on the clustering results, a fixed-point iteration (FPI) algorithm was proposed to design the optimal beamwidth of UAVs and improve their energy efficiency. Finally, the superiority of the proposed algorithm in improving energy efficiency was verified through simulation analysis, and the impact of parameters such as the cluster number and transmission power on system energy efficiency was also analyzed. Full article
(This article belongs to the Special Issue Wireless Communications with Unmanned Aerial Vehicle)
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29 pages, 1723 KiB  
Article
Investigation of a HAP-UAV Collaboration Scheme for Throughput Maximization via Joint User Association and 3D UAV Placement
by Huda Goehar, Ahmed S. Khwaja, Ali A. Alnoman, Alagan Anpalagan and Muhammad Jaseemuddin
Sensors 2023, 23(13), 6095; https://doi.org/10.3390/s23136095 - 02 Jul 2023
Cited by 1 | Viewed by 1243
Abstract
In this paper, a collaboration scheme between a high-altitude platform (HAP) and several unmanned aerial vehicles (UAVs) for wireless communication networks is investigated. The main objective of this study is to maximize the total downlink throughput of the ground users by optimizing the [...] Read more.
In this paper, a collaboration scheme between a high-altitude platform (HAP) and several unmanned aerial vehicles (UAVs) for wireless communication networks is investigated. The main objective of this study is to maximize the total downlink throughput of the ground users by optimizing the UAVs’ three-dimensional (3D) placements and user associations. An optimization problem is formulated and a separate genetic-algorithm-based approach is proposed to solve the problem. The K-means algorithm is also utilized to find the initial UAV placement to reduce the convergence time of the proposed genetic-algorithm-based allocation. The performance of the proposed algorithm is analyzed in terms of convergence time, complexity, and fairness. Finally, the simulation results show that the proposed HAP-UAV integrated network achieves a higher total throughput through joint user association and UAV placement schemes compared to a scheme with a single HAP serving all users. Full article
(This article belongs to the Special Issue Wireless Communications with Unmanned Aerial Vehicle)
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