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Multiuser mmWave MIMO Communications

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

Deadline for manuscript submissions: 20 June 2024 | Viewed by 1901

Special Issue Editors


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Guest Editor
Instituto de Telecomunicações, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Interests: 5G mobile communication; MIMO communication; resource allocation; array signal processing; cellular radio; millimeter-wave communication

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Guest Editor
Faculty of Computing, Engineering and Science, University of South Wales, Pontypridd CF37 1DL, UK
Interests: MIMO; mmWave; mobile networks; 6G; IoT; resource allocation; cybersecurity
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham NG1 4FQ, UK
Interests: massive MIMO; mmWave wireless; underwater communications; IoT

Special Issue Information

Dear Colleagues,

Millimeter-wave (mmWave) MIMO communication, in addition to possessing many varied applications, is gradually becoming the standard for wireless connectivity in cellular, vehicular, and non-terrestrial networks. Compared to the sub-7 GHz (FR1) frequency bands used in legacy networks, the 30–300 GHz mmWave bands (FR2) offer larger bandwidths, translating directly to higher capacity and data rates; smaller wavelengths, enabling massive MIMO; and relatively closer spectral allocations, leading to a more homogeneous propagation. These attractive capabilities have spurred extensive academic research and the release of commercial communication products. However, the inherent challenges of mmWave MIMO such as high path and penetration losses, atmospheric absorption and rain attenuation, and vulnerability to blockage by objects have been subject to continuous research. Specifically used for multiuser mmWave MIMO in challenging networking scenarios (e.g., ultra-dense, dual mobility and multi-connectivity, etc.), interference mitigation, precoding and beam management, energy efficiency, and radio resource allocation frameworks are among the major technical challenges. Solutions to these challenges will extend the frontiers of next-generation networks’ services and applications. This Special Issue invites researchers to present new ideas to address the challenges of multiuser mmWave MIMO communications and seeks to compile together original research and review articles on recent advances in the field. Potential topics include, but are not limited to:

  • Efficient precoding schemes for multiuser mmWave MIMO;
  • System-level performance analysis and optimization;
  • Energy efficiency optimization for multiuser mmWave MIMO;
  • Beam-tracking algorithms for mmWave MU-MIMO in V2X;
  • Interference management for mmWave MU-MIMO in UDNs;
  • Intelligent radio resource allocation for mmWave MU-MIMO;
  • Measurement studies and deployment use cases for mmWave MU-MIMO;
  • Channel modeling and estimation for mmWave MU-MIMO
  • Interplay of mmWave MU-MIMO with RIS/IRS and NOMA.

Dr. Sherif Adeshina Busari
Prof. Dr. Jonathan Rodriguez
Prof. Dr. Charalampos Tsimenidis
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.

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Published Papers (1 paper)

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Research

14 pages, 909 KiB  
Article
A WaveGAN Approach for mmWave-Based FANET Topology Optimization
by Enas Odat, Hakim Ghazzai and Ahmad Alsharoa
Sensors 2024, 24(1), 6; https://doi.org/10.3390/s24010006 - 19 Dec 2023
Cited by 1 | Viewed by 779
Abstract
The integration of dynamic Flying Ad hoc Networks (FANETs) and millimeter Wave (mmWave) technology can offer a promising solution for numerous data-intensive applications, as it enables the establishment of a robust flying infrastructure with significant data transmission capabilities. However, to enable effective mmWave [...] Read more.
The integration of dynamic Flying Ad hoc Networks (FANETs) and millimeter Wave (mmWave) technology can offer a promising solution for numerous data-intensive applications, as it enables the establishment of a robust flying infrastructure with significant data transmission capabilities. However, to enable effective mmWave communication within this dynamic network, it is essential to precisely align the steerable antennas mounted on Unmanned Aerial Vehicles (UAVs) with their corresponding peer units. Therefore, it is important to design a novel approach that can quickly determine an optimized alignment and network topology. In this paper, we propose a Generative Adversarial Network (GAN)-based approach, called WaveGAN, for FANET topology optimization aiming to maximize the network throughput by selecting the communication paths with the best channel conditions. The proposed approach consists of a WaveGAN model followed by a beam search. The former learns how to generate optimized network topologies from a supervised dataset, while the latter adjusts the generated topologies to meet the structure requirements of the mmWave-based FANET. The simulation results show that the proposed approach is able to quickly find FANET topologies with a very small optimality gap for different network sizes. Full article
(This article belongs to the Special Issue Multiuser mmWave MIMO Communications)
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