Integration of Communication, Sensing and Computing for 6G

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 15 September 2025 | Viewed by 317

Special Issue Editors


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Guest Editor
School of Information and Electronics, Beijing Institute of Technology (BIT), Beijing 100081, China
Interests: integrated sensing and communications; reconfigurable intelligent surface; unmanned aerial vehicle communication; mobile edge computing

E-Mail Website
Guest Editor
School of Information and Electronics, Beijing Institute of Technology (BIT), Beijing 100081, China
Interests: channel coding and modulation semantic communications; integrated sensing and communications

E-Mail
Guest Editor
School of Information and Electronics, Beijing Institute of Technology (BIT), Beijing 100081, China
Interests: MIMO radar; statistical signal processing; integrated sensing and communications

Special Issue Information

Dear Colleagues,

6G is envisioned to be a unified network, where the physical and digital worlds are deeply intertwined, enabling a plethora of new applications ranging from immersive extended reality to autonomous systems and smart cities. The success of these applications hinges on the ability to sense the environment accurately, communicate swiftly, and compute decisions intelligently—all in harmony. The integration of sensing, communication, and computing (ISCC) is therefore essential for unlocking the full potential of this next-generation technology.

This Special Issue is a call to action for researchers to delve into the heart of ISCC for 6G, exploring how these technologies can be merged to create systems that are not only more efficient but also more intuitive and responsive.

This Special Issue seeks to bring together contributions from researchers and practitioners in the area of wireless communications, signal processing, and beyond, with an emphasis on recent advances in new approaches and techniques for ISCC designs. We solicit high-quality original research papers on topics including, but not limited to, the following:

  • Fundamental information-theoretic limits for ISCC;
  • Waveform/sequence/coding/modulation/beamforming design for ISCC;
  • MIMO, massive MIMO, and extremely large-scale MIMO for ISCC;
  • Intelligent/holographic surfaces and movable/fluid antennas for ISCC;
  • Millimeter-wave and THz technologies for ISCC;
  • Channel modeling and measurement for ISCC;
  • Hardware prototyping and field tests for ISCC;
  • Near-field ISCC transmission;
  • Security and privacy issues in ISCC;
  • ISCC design for V2X/UAV networks;
  • Sensing and positioning over communication networks;
  • Cell-free ISCC networks;
  • Integrated communications and multi-modal sensing;
  • Standardization progress of ISCC.

Dr. Xinyi Wang
Dr. Jingxuan Huang
Dr. Jiahao Bai
Guest Editors

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Keywords

  • 6G networks
  • integrated sensing and communications
  • mobile edge computing
  • security and privacy
  • MIMO

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Published Papers (1 paper)

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Research

19 pages, 1116 KiB  
Article
Long-Range Sensing with CP-OFDM Waveform: Sensing Algorithm and Sequence Design
by Boyu Yao, Jiahao Bai, Jingxuan Huang, Xinyi Wang, Chenhao Yin and Zesong Fei
Electronics 2025, 14(15), 2928; https://doi.org/10.3390/electronics14152928 - 22 Jul 2025
Viewed by 121
Abstract
Integrated sensing and communication (ISAC) has become a key enabler in 5G-Advanced (5G-A) and future 6G systems, with Orthogonal Frequency Division Multiplexing (OFDM) widely adopted as the underlying waveform. However, due to the inherent structure of OFDM signals, traditional sensing algorithms often suffer [...] Read more.
Integrated sensing and communication (ISAC) has become a key enabler in 5G-Advanced (5G-A) and future 6G systems, with Orthogonal Frequency Division Multiplexing (OFDM) widely adopted as the underlying waveform. However, due to the inherent structure of OFDM signals, traditional sensing algorithms often suffer from a limited sensing range in practical applications. To address this issue, we propose a delay compensation algorithm that mitigates the impact of delay and ensures the gain of range-Doppler processing. Furthermore, we analyze the issue of ambiguous targets in CP-OFDM systems, considering both single-target and multi-target scenarios. To improve the detection probability and suppress the accumulated echo energy corresponding to ambiguous targets, we propose a sequence design criterion, in which part of the original signal is replaced with a designed sequence. Simulation results demonstrate that the proposed algorithm effectively improves detection range and ensures unambiguous target identification, while achieving effective suppression of ambiguous target energy. Compared with a conventional algorithm, it achieves a processing gain of up to 20 dB. Moreover, the results show that different redundancy ratios can be selected in varying scenarios to balance communication and sensing performance in ISAC systems. Full article
(This article belongs to the Special Issue Integration of Communication, Sensing and Computing for 6G)
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