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

Area of Science:

• Wireless Communication Systems
• Signal Processing
• Network Resource Management

Background:

• Integrated Sensing and Communication (ISAC) systems offer dual functionality but face resource allocation challenges.
• Optimizing power and frequency is crucial for balancing sensing and communication performance.

Purpose of the Study:

• To develop a dynamic joint resource allocation framework for downlink ISAC systems.
• To enable flexible trade-offs between sensing accuracy and communication throughput.

Main Methods:

• An iterative optimization algorithm is proposed to dynamically allocate power and frequency.
• Real-time channel state information and sensing requirements are incorporated.
• A composite utility function balances sensing and communication objectives.

Main Results:

• The proposed framework achieves significant improvements in both sensing accuracy and communication rates compared to benchmarks.
• The method provides insights into optimal power distribution for users and sensing tasks.
• Demonstrated adaptability to various application scenarios.

Conclusions:

• The dynamic joint resource allocation framework is a practical and adaptive solution for ISAC systems.
• This approach shows strong potential for enhancing performance in 6G networks.
• The findings pave the way for efficient ISAC deployment.