This technology proposes a dynamic optimization system for simultaneous wireless information and power transfer (SWIPT), deriving closed-form optimal power allocation factors through statistical channel modeling and the Lagrange method. It achieves flexible tradeoffs between data rate and energy transmission (e.g., dynamic adjustment of energy factors between 0.03–0.69 at a weight of 0.7), improving energy efficiency by over 30% under 0–25dB total power constraints while ensuring rate stability. Breaking the limitations of static allocation, it provides adaptive green communication solutions for IoT terminals and implantable medical devices.

Technology provider:Nanjing University of Posts and Telecommunications