You are currently viewing a new version of our website. To view the old version click .

UAV Assisted Wireless Communications

This special issue belongs to the section “Electrical, Electronics and Communications Engineering“.

Special Issue Information

Dear Colleagues,

Unmanned Aerial Vehicles (UAV), also known as drones, have seen recently an increasing interest in a wide range of domains due to the numerous advantages they present, in terms of mobility, flexibility, and easy deployment.

With the challenges faced by communication networks to handle the growing demand and various services, UAVs represent an interesting solution to many problems, ranging from ensuring coverage in emergency situations and rural areas to network densification for highly dense areas. However, to be deployed, several challenges need to be addressed, such as limited energy, backhaul link, mobility and handover, etc.

The scope of this Special Issue is to address the potential research areas in UAV-assisted communications. We seek the submission of high-quality, original and unpublished manuscripts on topics including, but not limited to:

  • Channel modeling for air-to-ground and air-to-air communication
  • Channel reliability for drone based communication
  • 5G communication for UAV
  • Physical layer design for drone based communication
  • Power consumption and energy harvesting models
  • Positioning optimization
  • Information and communication reliability
  • Mobility impacts at different flying altitudes
  • Models and algorithms for control of UAV networks
  • UAV traffic management
  • Test bed results for UAV communication
  • Regulatory Issues
Assoc. Prof. Dr. Md. Jahangir Hossain
Dr. Mahdi Ben Ghorbel
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. Applied Sciences 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

  • Unmanned Aerial Vehicles
  • UAV-based communications
  • Vehicular communications

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.

Published Papers

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Appl. Sci. - ISSN 2076-3417