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Electronics
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Channel Estimation and Modulation
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Channel Estimation and Modulation

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

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 5555

Special Issue Editors

Prof. Dr. Jacek Izydorczyk

E-Mail Website
Guest Editor
Institute of Electronics, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland
Interests: channel estimation and modulation; signal theory; OFDM modulation; control engineering computing
Prof. Dr. Jacek Piskorowski

E-Mail Website
Guest Editor
Department of Electrical Engineering, West Pomeranian University of Technology, 70-313 Szczecin, Poland
Interests: analysis and synthesis of systems; circuits with time-varying parameters; biomedical engineering; ICT; systems and signals engineering

Special Issue Information

Dear Colleagues,

The area of wireless and mass MIMO communication systems has made impressive progress in recent years. This progress has been mainly due to the combination of high market demands and expectations and the availability of high processing capacity at an affordable price. The dramatic lack of free electromagnetic spectrum has led to innovations in modulation techniques, channel coding, channel identification algorithms, and approaches to improve the spectral efficiency of systems. The benefit of this progress has not only been wireless and vehicular communication but also the Internet of Things, sensor networks, underwater communication, and even wired communication.

This Special Issue aims to collect the latest information from scientists in the following areas of scientific activity:

  • Channel modeling, channel identification, and equalization
  • Modulation-assisted blind channel identification
  • Coded modulation
  • Iterative identification of mobile OFDM channels
  • Semi-blind channel estimation for MIMO systems
  • Fractional-order system identification in mass MIMO systems
  • Compressive sensing fading channels supported by deep learning
  • Deep learning-based identification of the state of the MIMO channel

Contributions are accepted in different areas of applications, including but not limited to communication, vehicle networks, wireless detection, deep learning, machine learning, and artificial intelligence.

Prof. Dr. Jacek Izydorczyk
Prof. Dr. Jacek Piskorowski
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

  • OFDM
  • receiving antennas
  • MIMO communication
  • transmitting antennas
  • channel estimation
  • correlation
  • sparse matrices
  • compressive sensing (CS)
  • deep learning
  • reconstruction algorithms
  • wireless fading channels
  • convolutional neural network

Published Papers (3 papers)

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Research

11 pages, 2509 KiB  
Article
Uni-Cycle Genetic Algorithm as an Adaptation Engine for Wireless Channel Equalizers
by Mohammed J. Khafaji and Maciej Krasicki
Electronics 2022, 11(2), 171; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11020171 - 06 Jan 2022
Viewed by 1001
Abstract
A recently developed adaptive channel equalizer driven by a so-called Uni-Cycle Genetic Algorithm (UCGA) is examined in the paper. The authors consider different initialization strategies of the iterative process and compare UCGA against the reference Recursive Least Squares (RLS) algorithm in terms of [...] Read more.
A recently developed adaptive channel equalizer driven by a so-called Uni-Cycle Genetic Algorithm (UCGA) is examined in the paper. The authors consider different initialization strategies of the iterative process and compare UCGA against the reference Recursive Least Squares (RLS) algorithm in terms of Bit Error Rate (BER) vs. Signal to Noise Ratio (SNR) performance and convergence rate of an adaptive channel equalizer. The results display a reasonable performance gain of UCGA over RLS for most of wireless channel models studied in the paper. Additionally, UCGA is capable of boosting the equalizer convergence. Thus, it can be considered a promising candidate for the future adaptive wireless channel equalizer. Full article
(This article belongs to the Special Issue Channel Estimation and Modulation)
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17 pages, 1041 KiB  
Article
Estimation of Compressible Channel Impulse Response for OFDM Modulated Transmissions
by Grzegorz Dziwoki and Marcin Kucharczyk
Electronics 2021, 10(22), 2781; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10222781 - 13 Nov 2021
Cited by 2 | Viewed by 1682
Abstract
Channel estimation scheme for OFDM modulated transmissions usually combines an initial block-pilot-assisted stage with a tracking one based on comb or scattered pilots distributed among user data in the signal frame. The channel reconstruction accuracy in the former stage has a significant impact [...] Read more.
Channel estimation scheme for OFDM modulated transmissions usually combines an initial block-pilot-assisted stage with a tracking one based on comb or scattered pilots distributed among user data in the signal frame. The channel reconstruction accuracy in the former stage has a significant impact on tracking efficiency of the channel variations and the overall transmission quality. The paper presents a new block-pilot-assisted channel reconstruction procedure based on the DFT-based approach and the Least Square impulse response estimation. The proposed method takes into account a compressibility feature of the channel impulse response and restores its coefficients in groups of automatically controlled size. The proposition is analytically explained and tested in a OFDM simulation environment. The popular DFT-based methods including compressed sensing oriented one were used as references for comparison purposes. The obtained results show a quality improvement in terms of Bit Error Rate and Mean Square Error measures in low and mid ranges of signal-to-noise ratio without significant computational complexity growth in comparison to the classical DFT-based solutions. Moreover, additional multiplication operations can be eliminated, compared to the competitive, in terms of estimation quality, compressed sensing reconstruction method based on greedy approach. Full article
(This article belongs to the Special Issue Channel Estimation and Modulation)
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16 pages, 604 KiB  
Article
A Low-Complexity Pilot-Based Frequency-Domain Channel Estimation for ICI Mitigation in OFDM Systems
by Francisco J. Martín-Vega and Gerardo Gómez
Electronics 2021, 10(12), 1404; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10121404 - 10 Jun 2021
Cited by 4 | Viewed by 2261
Abstract
A low-complexity pilot pattern and a frequency-domain channel estimation method for Inter-Carrier Interference (ICI) mitigation is proposed for Orthogonal Frequency Division Multiple Access (OFDM) systems. The proposed method exploits the band structure of the coupling matrix to perform an ICI-free channel estimation in [...] Read more.
A low-complexity pilot pattern and a frequency-domain channel estimation method for Inter-Carrier Interference (ICI) mitigation is proposed for Orthogonal Frequency Division Multiple Access (OFDM) systems. The proposed method exploits the band structure of the coupling matrix to perform an ICI-free channel estimation in the frequency domain. This ICI-free estimation relies on some conditions imposed over the pilot pattern that simplify the complexity of channel estimation significantly, since its complexity is the same as classical least squares (LS) channel estimation used in low mobility scenarios. Then, the ICI is removed by using a modified version of Minimum Mean Square Error (MMSE) equalization, which reduces the computational complexity considerably. This modified MMSE equalization relies on the sparse and banded structure of the coupling matrix and on a low complexity variant of the Cholesky decomposition, which is named LDLH factorization. It is shown that the proposed method greatly improves the Bit Error Rate (BER) in the high Signal-to-Noise Ratio (SNR) regime. Full article
(This article belongs to the Special Issue Channel Estimation and Modulation)
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