Advances in Communication Signal Processing

A special issue of Telecom (ISSN 2673-4001).

Deadline for manuscript submissions: 30 April 2026 | Viewed by 228

Special Issue Editors

State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
Interests: communication signal processing; statistical signal processing; information security

E-Mail Website
Guest Editor
School of Information Science and Technology, Nantong University, Nantong 226019, China
Interests: multiple access; wirelss security; integration of air-space-ground-sea network; cooperative communications

E-Mail Website
Guest Editor
School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 510006, China
Interests: massive MIMO; mmWave communication; array signal processing; MIMO transceiver design

Special Issue Information

Dear Colleagues,

With the rapid development of wireless communications, new intelligent applications such as machine-type communication, connected robotics, extended reality, and autonomous driving, have become part of our daily lives and affect us profoundly. As a consequence, the future wireless networks require massive connectivity levels with extremely high data rates. For instance, the International Data Corporation forecasts that in 2025 there will be 55.7 billion connected devices, most of which will be Internet of Things devices, generating 73.1 zettabytes of data, which exacerbates the scarcity of spectrum resources. In this regard, it is necessary to develop intelligent multiple access technologies for future wireless networks to realize massive connectivity with a higher spectral efficiency. Additionally, the era of future wireless networks demands simultaneous sensing and communication. For example, concurrent blind-spot obstacle detection and inter-user communications are required to support risk-free and reliable driving experience in vehicular networks. In this context, the joint design of intelligent sensing and communication is essential to achieving highly accurate sensing and high data transmission rates and simultaneously meet the requirements of these new emerging services and applications.

In addition, confidential messages may be compromised by malicious attacks from unauthorized entities in future wireless networks. Specifically, the proliferation of network entities elevates compromise risks, where authenticated users become vulnerable to adversarial takeover. To this end, new security techniques such intelligent physical-layer security and covert communications could provide promising solutions to prevent malicious attacks in future wireless networks.

Therefore, the design of advances in communication signal processing will require the use of one or more of these aspects in the near future:

  • Intelligent signal processing for multiple access technologies;
  • Intelligent security techniques for future communication signal processing;
  • Intelligent signal processing for joint sensing and communications;
  • Reconfigurable intelligent surfaces for the integrated sensing and communication;
  • AI/ML/FL/cloud/computing-enabled integrated sensing and communication systems;

Dr. Weijie Tan
Dr. Peishun Yan
Dr. Weiqiang Tan
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 250 words) can be sent to the Editorial Office for assessment.

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. Telecom is an international peer-reviewed open access quarterly 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 1200 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

  • wireless security
  • intelligent singal processing
  • multiple access
  • sensing and communication
  • covert communication
  • physical-layer security

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

39 pages, 1526 KB  
Article
A Quantum MIMO-OFDM Framework with Transmit and Receive Diversity for High-Fidelity Image Transmission
by Udara Jayasinghe, Thanuj Fernando and Anil Fernando
Telecom 2025, 6(4), 96; https://doi.org/10.3390/telecom6040096 - 11 Dec 2025
Abstract
This paper proposes a quantum multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) framework for image transmission, which combines quantum multi-qubit encoding with spatial and frequency diversity to enhance noise resilience and image quality. The system utilizes joint photographic experts group (JPEG), high efficiency [...] Read more.
This paper proposes a quantum multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) framework for image transmission, which combines quantum multi-qubit encoding with spatial and frequency diversity to enhance noise resilience and image quality. The system utilizes joint photographic experts group (JPEG), high efficiency image file format (HEIF), and uncompressed images, which are first source-encoded (if applicable) and then processed using classical channel encoding. The channel-encoded bitstream is mapped into quantum states via multi-qubit encoding and transmitted through a 2 × 2 MIMO system with varied diversity schemes. The spatially mapped qubits undergo the quantum Fourier transform (QFT) to form quantum OFDM subcarriers, with a cyclic prefix added before transmission over fading quantum channels. At the receiver, the cyclic prefix is removed, the inverse QFT is applied, and the quantum MIMO decoder reconstructs spatially diverged quantum states. Then, quantum decoding reconstructs the bitstreams, followed by channel decoding and source decoding to recover the final image. Experimental results show that the proposed quantum MIMO-OFDM system outperforms its classical counterpart across all evaluated diversity configurations. It achieves peak signal-to-noise ratio (PSNR) values up to 58.48 dB, structural similarity index measure (SSIM) up to 0.9993, and universal quality index (UQI) up to 0.9999 for JPEG; PSNR up to 70.04 dB, SSIM up to 0.9998, and UQI up to 0.9999 for HEIF; and near-perfect reconstruction with infinite PSNR, SSIM of 1, and UQI of 1 for uncompressed images under high channel noise. These findings establish quantum MIMO-OFDM as a promising architecture for high-fidelity, bandwidth-efficient quantum multimedia communication. Full article
(This article belongs to the Special Issue Advances in Communication Signal Processing)
Show Figures

Figure 1

Back to TopTop