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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月20日

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  • Madeeha Aman,
  • Ghani Ur Rehman,
  • Muhammad Zubair,
  • Riad Alharbey,
  • Ali Daud,
  • Sajid Ullah Khan

摘要

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.