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Communication, Sensing and Localization in 6G Systems
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Communication, Sensing and Localization in 6G Systems

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 3644

Special Issue Editor

Dr. Di He

E-Mail Website
Guest Editor
Shanghai Key Laboratory of Navigation and Location-Based Services, Shanghai Jiao Tong University (SJTU), 800 Dongchuan Road, Shanghai 200240, China
Interests: wireless localization; navigation; nonlinear signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid advancement of wireless communication technologies has brought us to the brink of a new era—the era of 6G systems. As we prepare for the next generation of mobile networks, it becomes crucial to explore and understand the potential of communication, sensing, and localization within these groundbreaking systems.

One of the key areas of focus in 6G systems is communication, which aims to provide seamless connectivity for a wide array of devices. It involves exploring advanced techniques such as MIMO (Multiple-Input Multiple-Output), millimeter-wave communication, and terahertz communication to enable efficient and reliable transmission.

Sensing capabilities in 6G systems will play a pivotal role in enabling a vast range of applications and services. By integrating sensing technologies into the network infrastructure, 6G systems can facilitate real-time monitoring, environment perception, and context awareness. These sensing capabilities can be harnessed for various domains, including smart cities, healthcare, agriculture, industrial automation, and more.

Localization, another critical aspect of 6G systems, aims to provide accurate positioning and tracking of devices and users. With advancements in localization techniques such as ultra-wideband (UWB), mmWave-based localization, and advanced signal processing algorithms, 6G systems can offer precise location information, paving the way for location-based services, navigation systems, augmented reality, and beyond.

In this rapidly evolving landscape, it is crucial to explore the challenges and opportunities associated with communication, sensing, and localization in 6G systems. This Special Issue aims to gather cutting-edge research, novel technologies, and innovative applications that drive the development of these essential components in the 6G ecosystem. We invite both original research papers and review articles that showcase the significant developments in these fields. Potential areas of interest include, but are not limited to, the following:

  • 6G systems;
  • Communication technologies;
  • Sensing capabilities;
  • Localization techniques;
  • Ultra-wideband (UWB);
  • MIMO;
  • NOMA;
  • Millimeter-wave communication;
  • Terahertz communication;
  • Real-time monitoring;
  • Internet of Things;
  • GNSS;
  • Navigation;
  • Integration of communication, sensing and navigation.

If you want to learn more information or need any advice, you can contact the Special Issue Editor Anika Deng via <anika.deng@mdpi.com> directly.

Dr. Di He
Guest Editor

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.

Published Papers (2 papers)

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Research

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27 pages, 40189 KiB  
Article
Tensor-Free Holographic Metasurface Leaky-Wave Multi-Beam Antennas with Tailorable Gain and Polarization
by Chuan-Kuei Weng, Yu-Zhan Tsai, Artem Vilenskiy and Malcolm Ng Mou Kehn
Sensors 2024, 24(8), 2422; https://doi.org/10.3390/s24082422 - 10 Apr 2024
Viewed by 323
Abstract
Recently, the community has seen a rise in interest and development regarding holographic antennas. The planar hologram is made of subwavelength metal patches printed on a grounded dielectric board, constituting flat metasurfaces. When a known reference wave is launched, the hologram produces a [...] Read more.
Recently, the community has seen a rise in interest and development regarding holographic antennas. The planar hologram is made of subwavelength metal patches printed on a grounded dielectric board, constituting flat metasurfaces. When a known reference wave is launched, the hologram produces a pencil beam towards a prescribed direction. Most earlier works on such antennas have considered only a single beam. For the few later ones that studied multiple beams, they were achieved either by having each beam taken care of by a distinct frequency or by partitioning the hologram, thereby depriving each beam of the directivity it could have had it not shared the holographic aperture with other beams. There have been recent studies related to the use of tensor surface impedance concepts for the synthesis of holograms which have attained control over the polarizations and intensities of the beams. However, this approach is complicated, tedious, and time-consuming. In this paper, we present a method for designing a planar holographic leaky-wave multi-beam metasurface antenna, of which each simultaneous beam radiating at the same frequency towards any designated direction has a tailorable amplitude, phase, and polarization, all without hologram partitioning. Most importantly, this antenna is exempted from the need for the cumbersome technique of tensor impedance. Such features of beam configurability are useful in selective multiple-target applications that require differential gain and polarization control among the various beams. Only a single source is needed, which is another benefit. In addition, effective methods to mitigate sidelobes are also proposed here. Designs by simulations according to the method are herein validated with measurements performed on fabricated prototypes. Full article
(This article belongs to the Special Issue Communication, Sensing and Localization in 6G Systems)
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Review

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40 pages, 3570 KiB  
Review
Emerging Technologies for 6G Communication Networks: Machine Learning Approaches
by Annisa Anggun Puspitasari, To Truong An, Mohammed H. Alsharif and Byung Moo Lee
Sensors 2023, 23(18), 7709; https://doi.org/10.3390/s23187709 - 06 Sep 2023
Cited by 6 | Viewed by 2935
Abstract
The fifth generation achieved tremendous success, which brings high hopes for the next generation, as evidenced by the sixth generation (6G) key performance indicators, which include ultra-reliable low latency communication (URLLC), extremely high data rate, high energy and spectral efficiency, ultra-dense connectivity, integrated [...] Read more.
The fifth generation achieved tremendous success, which brings high hopes for the next generation, as evidenced by the sixth generation (6G) key performance indicators, which include ultra-reliable low latency communication (URLLC), extremely high data rate, high energy and spectral efficiency, ultra-dense connectivity, integrated sensing and communication, and secure communication. Emerging technologies such as intelligent reflecting surface (IRS), unmanned aerial vehicles (UAVs), non-orthogonal multiple access (NOMA), and others have the ability to provide communications for massive users, high overhead, and computational complexity. This will address concerns over the outrageous 6G requirements. However, optimizing system functionality with these new technologies was found to be hard for conventional mathematical solutions. Therefore, using the ML algorithm and its derivatives could be the right solution. The present study aims to offer a thorough and organized overview of the various machine learning (ML), deep learning (DL), and reinforcement learning (RL) algorithms concerning the emerging 6G technologies. This study is motivated by the fact that there is a lack of research on the significance of these algorithms in this specific context. This study examines the potential of ML algorithms and their derivatives in optimizing emerging technologies to align with the visions and requirements of the 6G network. It is crucial in ushering in a new era of communication marked by substantial advancements and requires grand improvement. This study highlights potential challenges for wireless communications in 6G networks and suggests insights into possible ML algorithms and their derivatives as possible solutions. Finally, the survey concludes that integrating Ml algorithms and emerging technologies will play a vital role in developing 6G networks. Full article
(This article belongs to the Special Issue Communication, Sensing and Localization in 6G Systems)
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