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Electronics
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Advanced Digital Signal Processing for Future Digital Communications: 2nd Edition
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Advanced Digital Signal Processing for Future Digital Communications: 2nd Edition

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

Deadline for manuscript submissions: 30 November 2025 | Viewed by 2072

Special Issue Editors

Dr. Da Chen

E-Mail Website
Guest Editor
School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: wireless communication; multicarrier modulation; MIMO communication; waveform design
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Kai Luo

E-Mail Website
Guest Editor
School of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen 518107, China
Interests: integrated radar and communications; MIMO radar; MIMO communications; heterogeneous networks
Prof. Dr. Wei Peng

E-Mail Website
Guest Editor
School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: ubiquitous and very-large-scale multiple antenna communications; wireless channel parameter acquisition; intelligent Internet of Things

Special Issue Information

Dear Colleagues,

Digital communication employs digital signal as a carrier to transmit messages, or uses digital signal to digitally modulate a carrier and then transmit messages. It has the characteristics of strong anti-interference ability, controllable transmission error, easy encryption, and easy storage. Digital communication systems occupy the dominant position of communication systems, widely used in mobile phones, computers, video telephones, network conferences, and so on. Digital communication systems are developing towards possessing high speed, large capacity, and long distance. Digital signal processing (DSP) is a process of transforming analog signals into digital signals using special technology to expand the processing. At present, digital signal processing technology has been applied in image processing, military, medical, communication fields, among others. In the future, digital signal processing will develop towards the research of fast and efficient algorithms, high-speed hardware implementation, and new application research.

This Special Issue focuses on the application of digital signal processing algorithms to future digital communication systems to help readers understand the motivations and methods of various signal processing algorithms, invoking them to undeveloped services as well as future scenarios of communication systems. Potential topics include, but are not limited to, the following:

  • Advanced coding and modulation/waveform techniques;
  • Agile and efficient multiple access techniques;
  • MIMO signal processing techniques;
  • Radar signal processing techniques;
  • Reconfigurable intelligent surfaces-assisted techniques;
  • Underwater signal processing techniques;
  • Channel modeling, sensing, and measurement techniques;
  • Sparse signal processing for grant-free massive connectivity;
  • Signal processing optimization for federated learning.

Regarding Volume I, please refer to the following link (https://www.mdpi.com/journal/electronics/special_issues/N10CB7W699). All published papers can be accessed freely.

Dr. Da Chen
Prof. Dr. Kai Luo
Prof. Dr. Wei Peng
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

  • digital signal processing
  • digital communication

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Related Special Issue

Published Papers (3 papers)

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Research

14 pages, 898 KiB  
Article
Harmonic Interference Resilient Backscatter Communication with Adaptive Pulse-Width Frequency Shifting
by Xu Liu, Wu Dong, Binyang Yan, Xiaomeng He, Linyu Peng, Xin Chen, Da Chen and Wei Wang
Electronics 2025, 14(5), 946; https://doi.org/10.3390/electronics14050946 - 27 Feb 2025
Viewed by 391
Abstract
The last few decades have witnessed the rapid development of passive backscatter technologies, which envision promising cost-efficient ambient Internet of Things (IoT) for various applications, such as distributed solar sensor networks. However, limited by the harmonic interference caused by the conventional frequency-shifting-based backscatter [...] Read more.
The last few decades have witnessed the rapid development of passive backscatter technologies, which envision promising cost-efficient ambient Internet of Things (IoT) for various applications, such as distributed solar sensor networks. However, limited by the harmonic interference caused by the conventional frequency-shifting-based backscatter control methods, existing backscatter communication technologies cannot support the growing scale of the network. To tackle this issue, we propose a harmonic interference resilient frequency-shifting technique to compress the harmonics during backscatter communication. Different from conventional backscatter tags that shift the frequency with square waves with a constant pulse width, we dynamically modify the pulse width of the square wave to compress different parts of the harmonic waves. Furthermore, we propose a lightweight communication coding algorithm to enhance the compatibility of our system with backscatter applications. We implement the system with off-the-shelf components and conduct comprehensive experiments to evaluate the performance. The results demonstrate our harmonic interference resilient backscatter system can compress the harmonic interference and reduce the BER (bit error rate) by 70%. Full article
(This article belongs to the Special Issue Advanced Digital Signal Processing for Future Digital Communications: 2nd Edition)
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16 pages, 636 KiB  
Article
A Frequency-Domain Estimation Scheme for Frequency Offset with Large Range in OFDM Systems
by Tao Wang, Dejin Kong, Hao Jiang and Hongming Chen
Electronics 2025, 14(5), 859; https://doi.org/10.3390/electronics14050859 - 21 Feb 2025
Viewed by 562
Abstract
With the development of 5G new radio (NR) applications in high-speed scenarios, such as 5G non-terrestrial networks (NTN), the Doppler shift in the systems is significant. In this paper, an estimation scheme for frequency offset with large range in orthogonal frequency division multiplexing [...] Read more.
With the development of 5G new radio (NR) applications in high-speed scenarios, such as 5G non-terrestrial networks (NTN), the Doppler shift in the systems is significant. In this paper, an estimation scheme for frequency offset with large range in orthogonal frequency division multiplexing (OFDM) systems is proposed. The proposed scheme firstly takes advantage of the 2π-periodicity of the phase offset between two pilot OFDM symbols to estimate a set of candidate frequency offsets. It then uses the autocorrelation of the pilot sequence to determine the final estimated frequency offset. This method allows for a large estimation range, independent of the symbol gap between the two pilot OFDM symbols. Moreover, the low-complexity implementation of the scheme is provided. The simulation results based on 5G NR physical uplink shared channel (PUSCH) show the effectiveness of the proposed scheme in both single-user and multi-user scenarios, where various Doppler shifts and numbers of configured resource blocks (RB) are considered. The simulation results also show that the proposed frequency-domain method outperforms the conventional time-domain method with additional computation complexity. Full article
(This article belongs to the Special Issue Advanced Digital Signal Processing for Future Digital Communications: 2nd Edition)
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12 pages, 400 KiB  
Article
Properties and Analysis of the Guard Interval in Infinite Impulse Response–Orthogonal Frequency Division Multiplexing Systems
by Mengwan Jiang, Jiehao Luo and Dejin Kong
Electronics 2024, 13(22), 4519; https://doi.org/10.3390/electronics13224519 - 18 Nov 2024
Viewed by 644
Abstract
Recently, an orthogonal frequency division multiplexing (OFDM) technique for the infinite impulse response (IIR) channel (IIR-OFDM) was proposed, which carries the dedicated guard interval to maintain the circular convolution of the received signal and channel coefficients. Therefore, the loop of an IIR channel [...] Read more.
Recently, an orthogonal frequency division multiplexing (OFDM) technique for the infinite impulse response (IIR) channel (IIR-OFDM) was proposed, which carries the dedicated guard interval to maintain the circular convolution of the received signal and channel coefficients. Therefore, the loop of an IIR channel can be converted to the frequency domain, and single-tap equalization can still be used to equalize loop interference, like classical OFDM. In this paper, we describe how to build the IIR system based on the channel with loops and derive the properties of the dedicated guard interval for a general multi-order IIR channel, which is different from the classical cyclic prefix (CP) obtained by replicating the samples at the tail end of the signal. In particular, we address two special models for first-order and delay IIR channels. It is demonstrated that the guard interval composition and power characteristics of the two special models are similar. Moreover, the complexity of the guard interval depends not only on the maximum delay of the loop, but also on the number of loops. Finally, we simulate the IIR-OFDM performance under different IIR channels. Full article
(This article belongs to the Special Issue Advanced Digital Signal Processing for Future Digital Communications: 2nd Edition)
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