Abstract: Addressing the optimization problem during the simultaneous energy and information transmission stage in the simultaneous wireless information and power transfer (SWIPT), an optimal energy efficiency strategy based on mmWave cooperative communication small cell is proposed to maximize the link energy efficiency. This strategy, under the joint constraints of minimum link transmission rate and minimum collected energy, employs a power splitting mode at the receiving end of energy- constrained user devices. By optimizing transmit power control and power splitting factors, it aims to maximize the system's link energy efficiency. Recognizing the original problem as a non-convex fractional programming problem with NP-hard characteristics, the Dinkelbach method is utilized to transform the objective function into a convex optimization problem that is easier to solve. An iterative algorithm is designed to find the optimal solution through cross iterations. Simulation results demonstrate that the proposed strategy outperforms traditional power control methods and maximum transmit power approaches in optimizing system energy efficiency.

Key words: simultaneous wireless information and power transfer(SWIPT), millimeter wave coope- rative communication, energy efficiency, deployment optimization, energy harvesting, power splitting