Power Profile

Power profile optimization aims to efficiently manage the distribution of power across various aspects of communication systems, improving performance and resource utilization. Current research focuses on developing and validating sophisticated models, including deep reinforcement learning, variational expectation maximization, and convolutional neural networks coupled with differential evolution, to dynamically adjust power levels based on real-time channel conditions and network demands. These advancements are crucial for enhancing the efficiency and reliability of wireless networks, particularly in complex environments like indoor small cells and large-scale wavelength-division multiplexing (WDM) systems, leading to improved data transmission and reduced energy consumption.