Multi-UAV-Assisted ISAC System: Joint User Association, Trajectory Design, and Resource Allocation.

Area of Science:

• 6G wireless networks
• Integrated Sensing and Communication (ISAC) systems

Background:

• Unmanned aerial vehicle (UAV)-assisted ISAC systems face performance challenges due to ground user mobility and malicious jamming.
• Ensuring system reliability and performance in dynamic 6G environments is crucial.

Purpose of the Study:

• To design and optimize a multi-UAV-assisted ISAC system model resilient to malicious jamming and user mobility.
• To maximize the total communication rate under sensing accuracy constraints.

Main Methods:

• Joint optimization of user association, UAV trajectory, and transmit power using Improved Auction Algorithm (IAA), Dream Optimization Algorithm (DOA), and Rapidly-exploring Random Trees-based Optimizer Algorithm (RRTOA).
• Alternating Optimization-based Predictive Scheduling Algorithm (AOPSA) for global optimal solution.
• Long Short-Term Memory (LSTM) network for dynamic user position prediction.

Main Results:

• The proposed algorithm demonstrates a 188% improvement in communication rate compared to baseline schemes.
• Effective mitigation of performance degradation caused by user mobility.
• Enhanced real-time performance and system reliability in jamming environments.

Conclusions:

• The developed multi-UAV ISAC system effectively addresses challenges of jamming and user mobility in 6G networks.
• The proposed optimization and prediction strategies significantly improve system communication rates and reliability.
• The study validates the superiority of the designed system over existing methods.