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Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking II
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Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking II

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

Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 6714

Special Issue Editor

Dr. Margot Deruyck

E-Mail Website
Guest Editor
Department of Information Technology, IMEC-Ghent University-WAVES, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium
Interests: (green) wireless network design; energy- and exposure-aware networking; 5G and beyond 5G networks; unmanned aerial networks; Internet of Animals; digital agriculture; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The emerging massive density of human-held and machine-type nodes implies a larger deviation in the traffic than we are facing today. In future the network will be characterized by a high degree of flexibility, allowing it to adapt smoothly, autonomously, and efficiently to the quickly changing traffic demand both in time and space. This flexibility cannot be achieved when the network’s infrastructure remains static. To this end, the topic of UAV (unmanned aerial vehicle)-enabled wireless communications and networking has received increased attention of late.

As mentioned above, the network must serve a massive density of nodes going forward, which can be either human-held (user devices) or machine-type nodes (sensors). If we wish to properly serve these sensors and optimize their data, a proper wireless connection is fundamental. This can be achieved by using UAV-enabled communication and networks.

This Special Issue will address the many existing issues that still exist to allow UAV-enabled wireless communications and networking.

Dr. Margot Deruyck
Guest Editor

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.

Keywords

  • UAV-aided network
  • UAV-enabled communication
  • drones
  • UABS
  • 5G
  • beyond 5G

Related Special Issue

Published Papers (4 papers)

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Research

16 pages, 2109 KiB  
Article
UAV Trajectory Design and Power Optimization for Terahertz Band-Integrated Sensing and Communications
by Ying Gao, Hongmei Xue, Long Zhang and Enchang Sun
Sensors 2023, 23(6), 3005; https://doi.org/10.3390/s23063005 - 10 Mar 2023
Viewed by 1372
Abstract
Sixth generation (6G) wireless networks require very low latency and an ultra-high data rate, which have become the main challenges for future wireless communications. To effectively balance the requirements of 6G and the extreme shortage of capacity within the existing wireless networks, sensing-assisted [...] Read more.
Sixth generation (6G) wireless networks require very low latency and an ultra-high data rate, which have become the main challenges for future wireless communications. To effectively balance the requirements of 6G and the extreme shortage of capacity within the existing wireless networks, sensing-assisted communications in the terahertz (THz) band with unmanned aerial vehicles (UAVs) is proposed. In this scenario, the THz-UAV acts as an aerial base station to provide information on users and sensing signals and detect the THz channel to assist UAV communication. However, communication and sensing signals that use the same resources can cause interference with each other. Therefore, we research a cooperative method of co-existence between sensing and communication signals in the same frequency and time allocation to reduce the interference. We then formulate an optimization problem to minimize the total delay by jointly optimizing the UAV trajectory, frequency association, and transmission power of each user. The resulting problem is a non-convex and mixed integer optimization problem, which is challenging to solve. By resorting to the Lagrange multiplier and proximal policy optimization (PPO) method, we propose an overall alternating optimization algorithm to solve this problem in an iterative way. Specifically, given the UAV location and frequency, the sub-problem of the sensing and communication transmission powers is transformed into a convex problem, which is solved by the Lagrange multiplier method. Second, in each iteration, for given sensing and communication transmission powers, we relax the discrete variable to a continuous variable and use the PPO algorithm to tackle the sub-problem of joint optimization of the UAV location and frequency. The results show that the proposed algorithm reduces the delay and improves the transmission rate when compared with the conventional greedy algorithm. Full article
(This article belongs to the Special Issue Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking II)
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19 pages, 386 KiB  
Article
Secrecy Energy Efficiency Enhancement in UAV-Assisted MEC System
by Jiansong Miao, Haoqiang Chen, Hairui Li and Shanling Bai
Sensors 2023, 23(2), 723; https://doi.org/10.3390/s23020723 - 8 Jan 2023
Viewed by 1364
Abstract
A secrecy energy efficiency optimization scheme for a multifunctional unmanned aerial vehicle (UAV) assisted mobile edge computing system is proposed to solve the computing power and security issues in the Internet-of-Things scenario. The UAV can switch roles between a computing UAV and jamming [...] Read more.
A secrecy energy efficiency optimization scheme for a multifunctional unmanned aerial vehicle (UAV) assisted mobile edge computing system is proposed to solve the computing power and security issues in the Internet-of-Things scenario. The UAV can switch roles between a computing UAV and jamming UAV based on the channel conditions. To ensure the security of the content and the system energy efficiency in the process of offloading computing tasks, the UAV trajectory, uplink transmit power, user scheduling, and offload task are jointly optimized, and an updated-rate assisted block coordinate descent (BCD) algorithm is used. Simulation results show that this scheme efficiently improves the secrecy performance and energy efficiency of the system. Compared with the benchmark scheme, the secrecy energy efficiency of the scheme is improved by 38.5%. Full article
(This article belongs to the Special Issue Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking II)
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19 pages, 13429 KiB  
Article
UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis
by Antoni Ivanov, Bilal Muhammad, Krasimir Tonchev, Albena Mihovska and Vladimir Poulkov
Sensors 2022, 22(24), 9705; https://doi.org/10.3390/s22249705 - 11 Dec 2022
Cited by 7 | Viewed by 1608
Abstract
Unmanned aerial vehicle (UAV)-empowered communications have gained significant attention in recent years due to the promise of agile coverage provision for a large number of various mobile nodes on the ground and in three-dimensional (3D) space. Consequently, there is a need for efficient [...] Read more.
Unmanned aerial vehicle (UAV)-empowered communications have gained significant attention in recent years due to the promise of agile coverage provision for a large number of various mobile nodes on the ground and in three-dimensional (3D) space. Consequently, there is a need for efficient spectrum utilization in these dense aerial networks, which is characterized through radio environment maps (REMs), the construction of which is an important research area. Nevertheless, due to the difficult collection of radio frequency (RF) data, there are limited works that are based on real-world measurement campaigns. This paper presents a novel experimental setup that includes a constellation of three UAVs, the communication signals of which are measured by a software-defined radio (SDR) mounted on a separate UAV. It follows a trajectory that defines the REM’s two-dimensional (2D) area on a plane, executed at four altitudes, to extend the REM to 3D. The measurements are then processed and their features (received mean power level, average difference of the mean power, percentage of meaningful correlations) are analyzed in the temporal, spatial, and frequency domains to determine the utilization of a 20 MHz band in the 2.4 GHz spectrum, as well as their variation with altitude. This analysis provides a base for research in reducing the amount of measurements (by identifying the regions of low and of high interest) and spectrum occupancy prediction for UAV-based communication coexistence. Full article
(This article belongs to the Special Issue Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking II)
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19 pages, 6048 KiB  
Article
A Reasonable Alternative System for Searching UAVs in the Local Area
by Marek Češkovič, Pavol Kurdel, Natália Gecejová, Ján Labun, Mária Gamcová and Matúš Lehocký
Sensors 2022, 22(9), 3122; https://doi.org/10.3390/s22093122 - 19 Apr 2022
Cited by 5 | Viewed by 1713
Abstract
UAVs, used for professional purposes, often intervene in unfamiliar terrain and challenging conditions. Unlike recreational UAVs, such professional and specialised UAVs are very expensive to develop and operate, and their value is not negligible. Due to the nature of operations in an unknown [...] Read more.
UAVs, used for professional purposes, often intervene in unfamiliar terrain and challenging conditions. Unlike recreational UAVs, such professional and specialised UAVs are very expensive to develop and operate, and their value is not negligible. Due to the nature of operations in an unknown or dangerous environment, there are also situations with forced interruption and termination of the flight mission or a collision with the environment. Locating a lost vehicle presents a new challenge for UAV operators. The possibilities of today’s localised commercial aircraft in distress (COSPASS/SARSAT systems) are undesirable for selective special-purpose drones. The optimisation of the location in the event of an emergency or catastrophic landing may be justified by a social or other condition, where the user wants to search for the device by a system other than the one experienced for rescuing people, ideally on their reserved frequencies. The article proposes a new approach to solving the problem based on the design of a terrestrial localisation system based on the methods of processing and correlation of the obtained data by the physical principle of the Doppler effect and its own system adaptation. This creates an innovative concept of a targeting system based on the broadcasting of distress (VHF) signal by crashed UAV. This signal is captured and evaluated by the IDVOR system, making it possible to determine the direction in which the searched UAV is placed. In order to determine the difference between standard targeting systems of the UAV, which use information about position (exact coordinates (x,y,z)), the IDVOR system is able to determine direction, independent of other systems in every “enemy” or “inhospitable” territory. Full article
(This article belongs to the Special Issue Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking II)
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