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Advancements and Applications of UAV Communications with RF, Microwave, and mmWave Techniques

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

Deadline for manuscript submissions: 31 January 2025 | Viewed by 828

Special Issue Editor


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Guest Editor
1. Department of Electrical and Electronic Engineering, School of Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
2. Academy for Super Smart Society, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
Interests: MIMO; mmWave; mesh networks; beyond 5G cellular networks; machine learning;wireless communications;wireless power transmission;resource optimization
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Special Issue Information

Dear Colleagues,

Unmanned Aerial Vehicles (UAVs) have emerged as pivotal tools across various industries, ranging from the military and surveillance to agriculture and disaster management. This Special Issue (SI) explores the recent advancements and applications of UAV communications, focusing on the integration of Radio Frequency (RF), microwave, and millimeter-wave (mmWave) techniques. The evolution of communication technologies has significantly enhanced UAV capabilities, enabling robust and reliable data transmission for real-time surveillance, remote sensing, and collaborative mission execution. This SI delves into the challenges and opportunities associated with employing RF, microwave, and mmWave frequencies for UAV communication, addressing issues such as signal attenuation, interference, and bandwidth constraints. Furthermore, it highlights innovative solutions and engineering strategies that leverage these frequency bands to optimize communication performance, extend operational ranges, and enhance data transfer rates. The applications discussed encompass a wide array of sectors, including agriculture, environmental monitoring, disaster response, and communication relay in areas with limited infrastructure. The synthesis of cutting-edge research findings and practical case studies offers valuable insights into the ongoing transformation of UAV communication technologies, paving the way for more efficient and versatile UAV deployments across diverse domains.

Dr. Gia Khanh Tran
Guest Editor

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Keywords

  • millimeter-wave techniques for UAVs
  • beyond 5G/6G
  • NTNs including UAVs
  • microwave techniques for UAVs
  • UAV trajectories
  • UAV edge caching
  • UAV distributed computing

Published Papers (1 paper)

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Research

17 pages, 18006 KiB  
Article
Multi-IRS-Assisted mmWave UAV-BS Network for Coverage Extension
by Sota Yamamoto, Jin Nakazato and Gia Khanh Tran
Sensors 2024, 24(6), 2006; https://doi.org/10.3390/s24062006 - 21 Mar 2024
Viewed by 714
Abstract
In the era of Industry 5.0, advanced technologies like artificial intelligence (AI), robotics, big data, and the Internet of Things (IoT) offer promising avenues for economic growth and solutions to societal challenges. Digital twin technology is important for real-time three-dimensional space reproduction in [...] Read more.
In the era of Industry 5.0, advanced technologies like artificial intelligence (AI), robotics, big data, and the Internet of Things (IoT) offer promising avenues for economic growth and solutions to societal challenges. Digital twin technology is important for real-time three-dimensional space reproduction in this transition, and unmanned aerial vehicles (UAVs) can support it. While recent studies have explored the potential applications of UAVs in nonterrestrial networks (NTNs), bandwidth limitations have restricted their utility. This paper addresses these constraints by integrating millimeter wave (mmWave) technology into UAV networks for high-definition video transmission. Specifically, we focus on coordinating intelligent reflective surfaces (IRSs) and UAV networks to extend coverage while maintaining virtual line-of-sight (LoS) conditions essential for mmWave communication. We present a novel approach for integrating IRS into Beyond 5G/6G networks to enhance high-speed communication coverage. Our proposed IRS selection method ensures optimal communication paths between UAVs and user equipment (UE). We perform numerical analysis in a realistically modeled 3D urban environment to validate our approach. Our results demonstrate significant improvements in the received SNR for multiple UEs upon the introduction of IRSs, and they confirm the feasibility of coverage extension in mmWave UAV networks. Full article
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