Special Issue "Advances in Massive Signal Processing"

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

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 236

Special Issue Editors

Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: compressive sensing based signal processing; deep learning based signal processing; massive MIMO; grant-free access
Special Issues, Collections and Topics in MDPI journals
Dr. Ping Yang
E-Mail Website
Guest Editor
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: wireless communication; massive signal processing
Prof. Dr. Pei Xiao
E-Mail Website
Guest Editor
Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK
Interests: communications theory and signal processing for wireless communications

Special Issue Information

Dear Colleagues,

The sixth-generation (6G) wireless networks are envisioned to provide a reliable service for a wide range of communication scenarios, including ultra-low latency, massive random access, integrated satellite-terrestrial, high-mobility, and high-frequency scenarios. In order to satisfy the growing demands for higher capacity, broader coverage, and better reliability, novel technologies, such as grant-free access, cell-free massive multiple-input multiple-output (MIMO), orthogonal time-frequency space (OTFS) modulation, and intelligent reflect surface (IRS), are conceived to be incorporated into the current communication systems. However, both the increase in the number of the antennas and that of the users have augmented the dimension of signals, resulting in extremely complex signal processing, for which conventional signal processing methods may not be efficient.

Against this background, it is necessary to investigate low-complexity signal processing approaches, including precoding, estimation, and detection algorithms for emerging techniques, such as grant-free access, IRS, OTFS, cell-free MIMO, etc. Specifically, new perspectives around signal processing, such as learning-based schemes and distributed signal processing, are encouraged to be further explored. This Special Issue aims to focus on the development of low-complexity efficient signal processing algorithms for future massive signal models. The topics of interest in this Special Issue include but are not limited to the following:

  • Compressive-sensing-based signal processing;
  • Matrix information geometry-based signal processing;
  • Model-driven learning-based signal processing;
  • Data-driven learning-based signal processing;
  • Graph neural-network-aided signal processing;
  • Distributed signal processing;
  • Low-complexity signal processing for massive MIMO;
  • Low-complexity signal processing for massive connectivity (i.e., various NOMA systems);
  • Low-complexity signal processing for emerging techeniques (i.e., IRS, OTFS).

Prof. Dr. Lixia Xiao
Dr. Ping Yang
Prof. Dr. Pei Xiao
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 2200 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.

Published Papers

There is no accepted submissions to this special issue at this moment.
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