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Integrated Sensing and Communication (ISAC) in 6G

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Signal and Data Analysis".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 280

Special Issue Editors


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Guest Editor
iTEAM Research Institute, Universitat Politècnica de València, Valencia, Spain
Interests: 5G and 6G wireless technologies design; channel modeling; network planning; resource allocation

E-Mail Website
Guest Editor
iTEAM Research Institute, Universitat Politècnica de València, Valencia, Spain
Interests: signal processing; wireless communication systems; channel modeling; vehicular communications; 5G and 6G technologies design

Special Issue Information

Dear Colleagues,

Integrated sensing and communication (ISAC) is an emerging technology that integrates communication and sensing functions into a single system, offering new possibilities for future wireless networks. A key challenge in ISAC systems is optimizing the trade-offs between sensing and communication performance. Both functions often compete for limited resources, such as spectrum, energy, and hardware, making it essential to balance their performance for maximum system efficiency.

Equally important are channel models that account for the correlation between the sensed channel and the communication channel. These models are crucial for accurately characterizing the interactions between communication and sensing, leading to more effective systems that minimize interference and optimize resource usage.

This Special Issue will focus on trade-off analysis and advanced channel modeling in ISAC systems. Contributions will also explore applications in vehicular communications, where ISAC enables enhanced safety and low-latency communication, and in industrial environments, where it facilitates real-time monitoring, predictive maintenance, and efficient resource management. We invite researchers to submit works that address both the theoretical foundations and practical implementations of ISAC, providing insights into the future of integrated systems in these domains.

Dr. Danaisy Prado-Alvarez
Dr. Jose F. Monserrat
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. Entropy is an international peer-reviewed open access monthly 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 2600 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

  • ISAC (integrated sensing and communication)
  • trade-offs
  • channel models
  • sensing and communication
  • vehicular communications
  • industrial applications
  • resource optimization

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Published Papers (1 paper)

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Research

13 pages, 540 KiB  
Article
Transmit Power Optimization for Simultaneous Wireless Information and Power Transfer-Assisted IoT Networks with Integrated Sensing and Communication and Nonlinear Energy Harvesting Model
by Chengrui Zhou, Xinru Wang, Yanfei Dou and Xiaomin Chen
Entropy 2025, 27(5), 456; https://doi.org/10.3390/e27050456 - 24 Apr 2025
Viewed by 146
Abstract
Integrated sensing and communication (ISAC) can improve the energy harvesting (EH) efficiency of simultaneous wireless information and power transfer (SWIPT)-assisted IoT networks by enabling precise energy harvest. However, the transmit power is increased in the hybrid system due to the fact that the [...] Read more.
Integrated sensing and communication (ISAC) can improve the energy harvesting (EH) efficiency of simultaneous wireless information and power transfer (SWIPT)-assisted IoT networks by enabling precise energy harvest. However, the transmit power is increased in the hybrid system due to the fact that the sensing signals are required to be transferred in addition to the communication data. This paper aims to tackle this issue by formulating an optimization problem to minimize the transmit power of the base station (BS) under a nonlinear EH model, considering the coexistence of power-splitting users (PSUs) and time-switching users (TSUs), as well as the beamforming vector associated with PSUs and TSUs. A two-layer algorithm based on semi-definite relaxation is proposed to tackle the complexity issue of the non-convex optimization problem. The global optimality is theoretically analyzed, and the impact of each parameter on system performance is also discussed. Numerical results indicate that TSUs are more prone to saturation compared to PSUs under identical EH requirements. The minimal required transmit power under the nonlinear EH model is much lower than that under the linear EH model. Moreover, it is observed that the number of TSUs is the primary limiting factor for the minimization of transmit power, which can be effectively mitigated by the proposed algorithm. Full article
(This article belongs to the Special Issue Integrated Sensing and Communication (ISAC) in 6G)
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