Dynamic power and frequency domain allocation for dedicated sensing signals in downlink ISAC


Aman M. Rehman G.U. Zubair M. Alharbey R. Daud A. Khan S.U.
December 2026Nature Research

Scientific Reports
2026#16Issue 1

This paper presents a dynamic joint resource allocation framework for downlink Integrated Sensing and Communication (ISAC) systems. The proposed approach simultaneously optimizes power and frequency assignment using an iterative optimization algorithm that adapts to real-time channel state information and sensing requirements. A composite utility function is introduced to balance sensing accuracy and communication throughput, enabling flexible trade-offs for different application scenarios. Comparative analysis against benchmark schemes demonstrates that the proposed method achieves notable improvements in both sensing accuracy and communication rate, while also providing insights into power distribution across users and sensing tasks. These results highlight the potential of the framework as a practical and adaptive solution for ISAC-enabled 6G networks.

6G , Dedicated sensing signals , Downlink communication , Dynamic power allocation , Frequency domain multiplexing , ISAC , Resource allocation

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Department of Computer Science, University of the Punjab, Lahore, Pakistan
Department of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Pakistan
Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
Faculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab Emirates
Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
Heriot Watt University (Zhubanov Campus), Aktobe, Kazakhstan

Department of Computer Science
Department of Computer Science & Bioinformatics
Department of Information Systems and Technology
Faculty of Resilience
Department of Information Systems
Heriot Watt University (Zhubanov Campus)

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