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Electronics
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Digital Signal Processing and Wireless Communication
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Digital Signal Processing and Wireless Communication

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: 15 October 2024 | Viewed by 1644

Special Issue Editors

Dr. Jihyung Kim

E-Mail Website
Guest Editor
Spatial Wireless Transmission Research Section, Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea
Interests: 5G/6G; UAV; RIS; AI
Prof. Dr. Byungju Lee

E-Mail Website
Guest Editor
Department of Information and Telecommunication Engineering, Incheon National University, Incheon 22012, Republic of Korea
Interests: 5G/6G; NTN; ISAC
Prof. Dr. Junghyun Kim

E-Mail Website
Guest Editor
Department of Artificial Intelligence, Sejong University, Seoul 05006, Republic of Korea
Interests: artificial intelligence; drug discovery; wireless communication; postquantum cryptography
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Our Special Issue focuses on various aspects and innovations in modern communication technology, with a particular emphasis on Digital Signal Processing (DSP) and wireless communications. DSP plays a crucial role as a core technology in modern communication systems, contributing significantly to signal processing and data analysis. Wireless communication technology has revolutionized our lives by enabling fast data access and real-time information exchange from anywhere. In this Special Issue, we cover a wide range of wireless communication technologies, including advancements in 5G and the upcoming 6G networks, as well as discussions about the future of wireless communication technology.

Through this Special Issue, readers can gain insights into the latest trends and innovative technologies in modern communication. We aim to contribute to the advancement of wireless communication by sharing the opinions and research findings of experts in various fields. We hope that this issue will become a valuable resource for the development of wireless communication technology.

Dr. Jihyung Kim
Prof. Dr. Byungju Lee
Prof. Dr. Junghyun Kim
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

  • modulation/waveform
  • antenna techniques
  • coding
  • UAV and satellite communication
  • AI wireless communication
  • 5G/6G

Published Papers (2 papers)

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Research

19 pages, 1674 KiB  
Article
Equalizer Parameters’ Adjustment Based on an Oversampled Channel Model for OFDM Modulation Systems
by Marcin Kucharczyk, Grzegorz Dziwoki, Jacek Izydorczyk, Wojciech Sułek, Adam Dustor, Wojciech Filipowski, Weronika Izydorczyk, Piotr Kłosowski, Piotr Zawadzki, Piotr Sowa and Michał Rajzer
Electronics 2024, 13(5), 843; https://doi.org/10.3390/electronics13050843 - 22 Feb 2024
Viewed by 520
Abstract
A physical model of a wireless transmission channel in the time domain usually consists of the main propagation path and only a few reflections. The reasonable assumptions made about the channel model can improve its parameters’ estimation by a greedy OFDM (Orthogonal Frequency [...] Read more.
A physical model of a wireless transmission channel in the time domain usually consists of the main propagation path and only a few reflections. The reasonable assumptions made about the channel model can improve its parameters’ estimation by a greedy OFDM (Orthogonal Frequency Division Multiplexing) equalizer. The equalizer works flawlessly if delays between propagation paths are in the sampling grid. Otherwise, the channel impulse response loses its compressible characteristic and the number of coefficients to find increases. It is possible to get back to the simple channel model by data oversampling. The paper describes how the above idea helps the OMP (Orthogonal Matching Pursuit) algorithm estimate channel coefficients. The authors analyze the oversampling algorithm on the one hand to assess the influence of filtering function and signal resolution on the quality of the channel impulse response reconstruction. On the other hand, the abilities of the OMP algorithm are analyzed to distinguish components of the oversampled signal. Based on these analyses, we proposed modifications to the compressible channel’s impulse response reconstruction algorithm to minimize the number of transmission errors. A distinction was made between the filters used in the OMP search and channel reconstruction stages before calculating equalizer coefficients. Additionally, the results of the search stage were considered as elements within the groups. Full article
(This article belongs to the Special Issue Digital Signal Processing and Wireless Communication)
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15 pages, 983 KiB  
Article
Augmenting Beam Alignment for mmWave Communication Systems via Channel Attention
by Jihyung Kim and Junghyun Kim
Electronics 2023, 12(20), 4318; https://doi.org/10.3390/electronics12204318 - 18 Oct 2023
Viewed by 714
Abstract
The beamforming technique has attracted considerable attention in wireless communication due to its various advantages such as interference reduction and improved wireless resource efficiency. However, the beam alignment between transmitting and receiving devices, which is fundamentally required for the beamforming, poses a significant [...] Read more.
The beamforming technique has attracted considerable attention in wireless communication due to its various advantages such as interference reduction and improved wireless resource efficiency. However, the beam alignment between transmitting and receiving devices, which is fundamentally required for the beamforming, poses a significant challenge due to the continuous variability of the wireless channel. Recently, a deep learning-based technique has been proposed to predict narrow beam indices by measuring wide beams. However, there is room for improvement in the performance of the neural network architecture employed in this technique. Therefore, we suggest a novel deep learning model architecture that incorporates a channel attention module for beam training. The simulation results show a significant enhancement in performance with our scheme compared to both a state-of-the-art approach and other existing methods across all scenarios. Particularly, we confirm that even when reducing the number of wide beams used for measurement by approximately 50%, our proposed approach achieves a performance close to that of the state-of-the-art scheme. Full article
(This article belongs to the Special Issue Digital Signal Processing and Wireless Communication)
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