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Advanced AI and Optimization Solutions for Integrated 6G Non-terrestrial Networks

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

Deadline for manuscript submissions: closed (5 March 2024) | Viewed by 575

Special Issue Editors

School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an 710049, China
Interests: integrated satellite-terrestrial networks; optimization; resource allocation; machine learning
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, 1855 Kirchberg, Luxembourg
Interests: optimization; resource allocation; machine learning; NOMA; satellite networks
Department of Engineering Technology, Technical University of Denmark, 2750 Ballerup, Denmark
Interests: causal inference; data-driven optimization; combinatorial optimization; machine learning
Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39759, USA
Interests: edge computing; Internet of things; green communication
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, 4365 Esch-sur-Alzette, Luxembourg
Interests: radio resource management; general wireless networks optimization

Special Issue Information

Dear Colleagues,

Future 6G communication networks are envisioned to be intelligent, reliable, and able to support unprecedented requirements that cannot be fulfilled by 5G. As some of the key enabling technologies of 6G communication, non-terrestrial networks (NTN), including low-Earth orbit (LEO) satellite systems, unmanned aerial vehicles (UAV), and high-altitude platforms (HAP), will play important roles in achieving ubiquitous coverage, seamless connectivity, and low-cost data access. With the integration of 6G terrestrial and non-terrestrial network components into multi-dimensional and time-varying networks, it is fundamental to investigate the inherent characteristics of this new network paradigm and develop novel algorithmic solutions to achieve high-rate, reliable, low-latency, and massive connectivity performance. The goal of this Special Issue is to bring efficient and high-quality artificial intelligence (AI) and optimization solutions for future 6G communications and networking.

Topics of interest include, but are not limited to, the following:

  • AI/ML for 6G NTN networks;
  • Distributed artificial intelligence/machine learning (AI/ML) for NTN–IoT edge systems;
  • Intelligent radio/computing resource optimization for 6G communications and networking;
  • Integrated satellite–UAV/HAP–terrestrial networks;
  • Joint communication and sensing optimization for 6G NTN networks;
  • Computation offloading, caching, and edge computing in 6G networks;
  • Multiple access schemes suitable to 6G NTN networks;
  • Mobility management and handover optimization in LEO-based systems
  • Interference avoidance/mitigation in 6G NTN and satellite mega-constellation networks;
  • AI/ML and resource optimization for space IoT;
  • Green AI/ML and optimization solutions for energy-efficient 6G NTN.

Dr. Lei Lei
Dr. Anyue Wang
Dr. Lei You
Dr. Yu Luo
Dr. Eva Lagunas
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.

Keywords

  • 6G
  • non-terrestrial networks
  • satellite
  • artificial intelligence
  • distributed learning
  • edge computing
  • resource optimization
  • NTN–IoT networks

Published Papers

There is no accepted submissions to this special issue at this moment.
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