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Emerging Unmanned Aerial Vehicle Communication Techniques for the Next Generation of Wireless Networks

This special issue belongs to the section “Electrical and Autonomous Vehicles“.

Special Issue Information

Dear Colleagues,

For several years, the academic and industrial communities have been sustainably elaborating on in-depth explorations and comprehensive innovations of B5/6G technology. Briefly, B5/6G aims to achieve seamless coverage, ultra-reliability, and ultra-low latency. At the same time, B5/6G is challenged by the explosive growth in the number of communication devices, increasingly severe communication security issues, and the challenge of communication reliability caused by interference. UAVs have been widely used in assisting wireless networks due to their advantages of low cost, flexible deployment, and high mobility, especially in communication scenarios in hard-to-reach areas (e.g., fire and earthquake-affected areas). In particular, with the advancement of artificial intelligence, movement and communication strategies can be guided and flexibly adjusted using learning-based approaches.

This Special Issue aims to outline the recent progress made on the latest techniques in enhancing the performance of UAV-assisted next-generation wireless networks. Specifically, the performance includes, but is not limited to, energy efficiency, high reliability, high security, and low latency:

  • AI for energy/spectrum efficient resource management in UAV networks;
  • Cooperative mobility edge computing in UAV networks;
  • Relaying techniques for UAV networks;
  • Interference mitigation in UAV networks;
  • Intelligent trajectory planning for UAV networks;
  • AI for anti-jamming in UAV networks;
  • Anti-eavesdropping techniques in UAV networks;
  • Beamforming and waveform design for UAV communications nodes;
  • Low-latency UAV swarm networks;
  • Routing protocol for UAV swarm networks;
  • UAV semantic communication;
  • Integrated sensing and communication applications in UAV-assisted networks;
  • Reconfigurable intelligent surface-assisted UAV communications.

Submissions focused on the various advanced analytical algorithms and technological innovations used to enhance the performance of UAV networks are welcome.

Dr. Nan Qi
Prof. Dr. Rugui Yao
Dr. Xiang Su
Prof. Dr. Liang Xiao
Dr. Lin Zhang
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 250 words) can be sent to the Editorial Office for assessment.

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. Electronics 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 2400 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

  • artificial intelligence
  • unmanned aerial vehicle communications
  • energy efficiency
  • high reliability
  • security and safety
  • low-latency routing protocol
  • reconfigurable intelligent surface

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Electronics - ISSN 2079-9292