Proportional Fair Trajectory Design and Resource Allocation for UAV-Assisted SWIPT System

Area of Science:

• Wireless communication systems
• Robotics and control systems
• Energy harvesting technologies

Background:

• Unmanned aerial vehicles (UAVs) are increasingly used for wireless communication.
• Simultaneous wireless information and power transfer (SWIPT) enables devices to receive data and energy wirelessly.
• Optimizing UAV trajectory and resource allocation is crucial for efficient SWIPT systems.

Purpose of the Study:

• To design a proportional fair trajectory and resource allocation strategy for UAV-assisted SWIPT.
• To maximize the sum of logarithmic average spectral efficiency (SE) for ground nodes (GNs).
• To guarantee average harvested energy requirements and improve user fairness.

Main Methods:

• Developed a power-splitting (PS) policy for GNs to receive information and energy.
• Employed quadratic transform and first-order Taylor expansion to address nonconvex optimization.
• Proposed an iterative algorithm to optimize UAV trajectory, transmit power, and GN PS ratios.

Main Results:

• The proposed scheme significantly improves average spectral efficiency compared to baseline methods.
• Achieved user fairness comparable to state-of-the-art schemes.
• Demonstrated the effectiveness of the iterative algorithm in optimizing system parameters.

Conclusions:

• The proposed UAV-assisted SWIPT system effectively balances spectral efficiency and user fairness.
• The developed optimization approach provides a viable solution for practical SWIPT deployments.
• This research contributes to advancing efficient wireless power and data transfer using UAVs.