Intelligent Signal Processing for Integrated Sensing and Communications towards 6G

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

Deadline for manuscript submissions: 15 November 2025 | Viewed by 873

Special Issue Editors


E-Mail Website
Guest Editor
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Interests: mobile communication; satellite communication; ratio navigation; signal processing

E-Mail Website
Guest Editor
School of Integrated Circuits and Electronics, Beijing Institute of Technology (BIT), Beijing 100081, China
Interests: wireless communications; underwater acoustic OFDM/UFMC systems; sparse signal processing; reconfigurable intelligent surface (RIS); integrated sensing and communications (ISAC); deep learning-based solutions on signal processing

E-Mail Website
Guest Editor
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Interests: mobile communications; artificial intelligence; physical layer security; terahertz transmission

E-Mail Website
Guest Editor
Pervasive Communication Research Centre, Purple Mountain Laboratories (PML), Nanjing 211111, China
Interests: AI-native wireless communication; integrated sensing and communication (ISAC) and signal processing

Special Issue Information

Dear Colleagues,

As we advance toward the era of 6G, the integration of sensing and communication becomes pivotal. Intelligent signal processing is at the core of this integration, enabling seamless, efficient, and high-performance networks. The development of intelligent signal processing techniques for 6G integrated sensing and communication (ISAC) is essential for achieving unprecedented levels of connectivity, data transfer rates, and real-time information processing. This field addresses the need for innovative solutions to meet the demands of future communication systems and applications, ensuring robust and adaptive performance in diverse environments.

This Special Issue aims to develop cutting-edge intelligent signal processing methods to enhance 6G ISAC systems, providing the foundation for the next generation of wireless technologies.

This Special Issue will accept articles on topics regarding intelligent signal processing for 6G integrated sensing and communications, including, but not limited to, the following:

  • Advanced signal processing algorithms for 6G networks;
  • Machine learning and AI for signal processing in 6G;
  • Integrated sensing and communication (ISAC) system design;
  • Reconfigurable intelligent surface (RIS)-assisted ISAC;
  • Integrated sensing and backscatter communications;
  • Real-time signal processing for high-speed communications;
  • Signal processing for massive MIMO and beamforming;
  • Intelligent resource allocation and management;
  • Signal processing techniques for terahertz (THz) and millimeter-wave (mmWave) communications;
  • Joint sensing and communication signal processing;
  • Security and privacy in signal processing for 6G;
  • Energy-efficient signal processing for 6G networks

Prof. Dr. Nan Wu
Dr. Rongkun Jiang
Dr. Dongxuan He
Dr. Huazhou Hou
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

  • 6G networks
  • integrated sensing and communications
  • artificial intelligence
  • intelligent signal processing
  • reconfigurable intelligent surface
  • backscatter communication
  • security and privacy

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 (2 papers)

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

Research

19 pages, 437 KiB  
Article
Mutual Information-Oriented ISAC Beamforming Design for Large Dimensional Antenna Array
by Shanfeng Xu, Yanshuo Cheng, Siqiang Wang, Xinyi Wang, Zhong Zheng and Zesong Fei
Electronics 2025, 14(13), 2515; https://doi.org/10.3390/electronics14132515 - 20 Jun 2025
Viewed by 154
Abstract
In this paper, we study the beamforming design for multiple-input multiple-output (MIMO) ISAC systems, with the weighted mutual information (MI) comprising sensing and communication perspectives adopted as the performance metric. In particular, the weighted sum of the communication mutual information and the sensing [...] Read more.
In this paper, we study the beamforming design for multiple-input multiple-output (MIMO) ISAC systems, with the weighted mutual information (MI) comprising sensing and communication perspectives adopted as the performance metric. In particular, the weighted sum of the communication mutual information and the sensing mutual information is shown to asymptotically converge to a deterministic limit when the number of transmitting and receiving antennas grow to infinity. This deterministic limit is derived by utilizing the operator-valued free probability theory. Subsequently, an efficient projected gradient ascent (PGA) algorithm is proposed to optimize the transmit beamforming matrix with the aim of maximizing the weighted asymptotic MI. Numerical results validate that the derived closed-form expression matches well with the Monte Carlo simulation results and the proposed optimization algorithm is able to improve the weighted asymptotic MI significantly. We also illustrate the trade-off between asymptotic sensing and asymptotic communication MI. Full article
Show Figures

Figure 1

17 pages, 474 KiB  
Article
User Experience-Oriented Content Caching for Low Earth Orbit Satellite-Enabled Mobile Edge Computing Networks
by Jianhua He, Youhan Zhao, Yonghua Ma and Qiang Wang
Electronics 2025, 14(12), 2413; https://doi.org/10.3390/electronics14122413 - 13 Jun 2025
Viewed by 206
Abstract
In this paper, we investigate a low Earth orbit (LEO) satellite-enabled mobile edge computing (MEC) network, where multiple cache-enabled LEO satellites are deployed to address heterogeneous content requests from ground users. To evaluate the network’s capability in meeting user demands, we adopt the [...] Read more.
In this paper, we investigate a low Earth orbit (LEO) satellite-enabled mobile edge computing (MEC) network, where multiple cache-enabled LEO satellites are deployed to address heterogeneous content requests from ground users. To evaluate the network’s capability in meeting user demands, we adopt the average quality of experience (QoE) of the users as the performance metric, defined based on the effective transmission rate under communication interference. Our analysis reveals that the average QoE is determined by the content caching decisions at the satellites, thereby allowing us to formulate an average QoE maximization problem, subject to practical constraints on the satellite caching capacity. To tackle this NP-hard problem, we design a two-stage content caching algorithm that combines divide-and-conquer and greedy policies for efficient solution. The numerical results validate the effectiveness of the proposed approach. Compared with several benchmark schemes, our algorithm achieves notable improvements in terms of the average QoE while significantly reducing caching costs, particularly under resource-constrained satellite settings. Full article
Show Figures

Figure 1

Back to TopTop