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Electronics
Special Issues
Signal Processing in Wireless Communications
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Signal Processing in Wireless Communications

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 June 2022) | Viewed by 3643

Special Issue Editors

Dr. Eric Pierre Simon

E-Mail Website
Guest Editor
IEMN laboratory, University of Lille, F-59000 Lille, France
Interests: channel estimation; synchronization; machine learning for physical layer; NOMA
Dr. Sumit Chakravarty

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Kennesaw State University, Marietta, GA, USA
Interests: robot sensing and communication; automoation and control
Special Issues, Collections and Topics in MDPI journals
Dr. Maria Valero

E-Mail Website
Guest Editor
Department of Information Technology, Kennesaw State University, Marietta, GA 30060, USA
Interests: IoT for smart healthcare; distributed computing; signal processing; wireless sensor networks; cyber–physical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The fifth generation and beyond of communications holds great potential for changing the way we live. Pervasive connectivity will lead to revolutions within today’s society, including in areas such as connected healthcare, networked energy management, united transportation, and smart and secure living.

The enabling factor for any such development will be the progress in signal processing in wireless communications. Signal processing is the keystone technology, with the potential to significantly improve future communication systems. It is the core of modern communications and driven by the availability of very powerful and cost-effective silicon technologies, the physics of availing larger-spectrum zones, and materials allowing for connectivity to newer frontiers like space. This trio of developments has allowed signal processing algorithms to bloom in efficiency and maturity.

The challenges set for future communications, however, still need to be researched, particularly to enable the three pillars of 5G and beyond, namely massive connectivity via the IoT and other devices, extremely low latency (enabling applications like Cv2x and robotic surgery), and applications with high data demands like real-time multimedia and gaming.

The goal of this Special Issue is to present a collection of exciting papers reporting cutting-edge advances in signal processing for applications in wireless communications. Example topics of interest are the application of signal processing in such areas as:

  • wireless, optical, and hybrid communications;
  • full-duplex, massive MIMO, and mm-wave/THz communications;
  • spectrum sensing, access, and co-habitation;
  • integrated sensing and communication;
  • compressive sensing;
  • deep/machine learning;
  • cyber–physical systems and in-the-loop communications;
  • image and video applications in communication systems;
  • quantum communication systems;
  • software-defined radio and applications;
  • smart and connected city-based applications;
  • upcoming applications like Cv2x, satellite–terrestrial communications, and modern modulations;
  • signal and pattern extraction from massive spatiotemporal data;
  • FOG and Edge communications;
  • wireless power transfer communications.

Dr. Eric Pierre Simon
Dr. Sumit Chakravarty
Dr. Maria Valero
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

  • 5G and beyond communications
  • IoT for smart city applications
  • signal processing using deep/machine learning
  • spectrum sensing and Interference management
  • image and video communications

Published Papers (2 papers)

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Research

10 pages, 4214 KiB  
Communication
A Five-Level RF-PWM Method with Third and Fifth Harmonic Elimination for All-Digital Transmitters
by Haoyang Fu, Qiang Zhou, Lei Zhu, Zhang Chen, Zhihu Wei and Siyu Zeng
Electronics 2022, 11(19), 3257; https://doi.org/10.3390/electronics11193257 - 10 Oct 2022
Cited by 1 | Viewed by 1318
Abstract
An appropriate pulse-coding algorithm is the key to achieving an efficient switched-mode power amplification in all-digital transmitters. A five-level RF-PWM method with third and fifth harmonic elimination is proposed to relax the requirements of the filter and to reduce the control complexity of [...] Read more.
An appropriate pulse-coding algorithm is the key to achieving an efficient switched-mode power amplification in all-digital transmitters. A five-level RF-PWM method with third and fifth harmonic elimination is proposed to relax the requirements of the filter and to reduce the control complexity of the SMPA for all-digital transmitters. By controlling the pulse width and the center position of three-level sub-pulses, third and fifth harmonic elimination is achieved. Meanwhile, the control complexity of the SMPA is reduced by the decrease in the output-signal-level number. Finally, the feasibility of the method is verified by simulation. For the 16QAM signal with a carrier frequency of 200 MHz, the proposed method can achieve third harmonic suppression of −46.24 dBc and fifth harmonic suppression of −54.05 dBc when coding efficiency reaches 77.51%. Full article
(This article belongs to the Special Issue Signal Processing in Wireless Communications)
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11 pages, 4330 KiB  
Article
A Three-Level RF-PWM Method Based on Phase-Shift Control and MPWM for ADTx
by Siyu Zeng, Qiang Zhou, Shenglin Yu, Lei Zhu, Jiashun Zhu and Haoyang Fu
Electronics 2022, 11(18), 2905; https://doi.org/10.3390/electronics11182905 - 13 Sep 2022
Cited by 1 | Viewed by 1350
Abstract
A radio frequency pulse width modulation (RF-PWM) scheme based on phase-shift control and mapping PWM (MPWM) is described. Pulse coding is the key to improving the coding efficiency, flexibility, and configurability of the all-digital transmitter (ADTx). To solve the problem that the real-time [...] Read more.
A radio frequency pulse width modulation (RF-PWM) scheme based on phase-shift control and mapping PWM (MPWM) is described. Pulse coding is the key to improving the coding efficiency, flexibility, and configurability of the all-digital transmitter (ADTx). To solve the problem that the real-time performance of the system is limited by the time resolution, the phase-shift control principle is adopted to constrain the output pulse state. It decomposes the original signal into two phase-modulated constant envelope signals, and directly converts the two-level pulse waveform by MPWM. Finally, the fast generation of the three-level digital RF modulated signal is completed by vector synthesis. In this way, the rear power amplifier can be directly driven, and the difficulty of physical implementation is greatly reduced. Different from the traditional mapping strategy of traversal search, the proposed scheme does not require complicated error calculation and comparison. Simulation and offline experiments show that the proposed scheme has better comprehensive performance than other mapping schemes. For 16QAM modulated signals at a 300 MHz carrier, the proposed scheme can achieve nearly 70% coding efficiency (CE), less than −50 dBc, and 1% adjacent channel power ratio (ACPR) and error vector magnitude (EVM). Full article
(This article belongs to the Special Issue Signal Processing in Wireless Communications)
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