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Electronics
Special Issues
New Trends in Next-Generation Wireless Transmissions
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New Trends in Next-Generation Wireless Transmissions

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 March 2025) | Viewed by 528

Special Issue Editors

Dr. Jie Huang

E-Mail Website
Guest Editor
1. National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing 210096, China
2. Purple Mountain Laboratories, Nanjing 211111, China
Interests: millimeter wave; massive MIMO; reconfigurable intelligent surface channel measurements and modeling; artificial intelligence; electromagnetic information theory; 6G wireless communications
Special Issues, Collections and Topics in MDPI journals
Dr. Yu Liu

E-Mail Website
Guest Editor
School of Integrated Circuits, Shandong University, No.1500, Shunhua Road, Gaoxin District, Jinan 250101, China
Interests: wireless channel measurements; modeling for 6G high-mobility scenarios
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The ITU has released data on 6G usage scenarios and performance metrics. 6G networks will further integrate communication with AI and sensing, enable space–air-ground–sea ubiquitous connectivity, and further enhance 6G’s coverage, sensing- and AI-related capabilities, sustainability, interoperability, and positioning. Many new emerging key technologies have been proposed to achieve this goal, including integrated sensing and communication (ISAC), reconfigurable intelligent surfaces (RISs), holographic multiple-input multiple-output (MIMO), movable antenna (MA)/fluid antenna system (FAS), channel knowledge map (CKM), AI, digital-twins, etc.

Such wireless transmission technologies are related to the transmitting and processing of wireless signals to achieve better performance with limited resources. They are crucial for next-generation communication system design, performance analysis, and optimization.

The aim of this Special Issue is to showcase recent advances and future challenges on 6G wireless transmission research, which fits well within the journal’s scope.

In this Special Issue, original research articles and reviews are welcome for submission. Research areas may include (but are not limited to) the following:

  • ISAC waveform design and performance analysis;
  • RIS communications;
  • Holographic MIMO communications;
  • MA/FAS-assited communications;
  • CKM-enabled system design;
  • AI/digital-twin-enabled communications and sensing;
  • Millimeter wave/THz/optical wireless transmission;
  • New multiple access schemes.

We look forward to receiving your contributions.

Dr. Jie Huang
Dr. Yu Liu
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. 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

  • 6G wireless communications
  • wireless transmission
  • ISAC
  • RIS
  • AI
  • digital twin

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Published Papers (1 paper)

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Research

15 pages, 4228 KiB  
Article
Combining the Viterbi Algorithm and Graph Neural Networks for Efficient MIMO Detection
by Thien An Nguyen, Xuan-Toan Dang, Oh-Soon Shin and Jaejin Lee
Electronics 2025, 14(9), 1698; https://doi.org/10.3390/electronics14091698 - 22 Apr 2025
Viewed by 263
Abstract
In the advancement of wireless communication, multiple-input, multiple-output (MIMO) detection has emerged as a promising technique to meet the high throughput requirements of 6G networks. Traditionally, MIMO detection relies on conventional algorithms, such as zero forcing and minimum mean square error, to mitigate [...] Read more.
In the advancement of wireless communication, multiple-input, multiple-output (MIMO) detection has emerged as a promising technique to meet the high throughput requirements of 6G networks. Traditionally, MIMO detection relies on conventional algorithms, such as zero forcing and minimum mean square error, to mitigate interference and enhance the desired signal. Mathematically, these algorithms operate as linear transformations or functions of received signals. To further enhance MIMO detection performance, researchers have explored the use of nonlinear transformations and functions by leveraging deep learning structures and models. In this paper, we propose a novel model that integrates the Viterbi algorithm with a graph neural network (GNN) to improve signal detection in MIMO systems. Our approach begins by detecting the received signal using the VA, whose output serves as the initial input for the GNN model. Within the GNN framework, the initial signal and the received signal are represented as nodes, while the MIMO channel structure defines the edges. Through an iterative message-passing mechanism, the GNN progressively refines the initial signal, enhancing its accuracy to better approximate the originally transmitted signal. Experimental results demonstrate that the proposed model outperforms conventional and existing approaches, leading to superior detection performance. Full article
(This article belongs to the Special Issue New Trends in Next-Generation Wireless Transmissions)
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