Dynamic decision-making for fine-grained energy-efficient control in millimeter-wave access platforms

Abstract

This paper proposes a dynamic decision-making algorithm that controls power allocation for minimizing time-average energy expenditure in millimeter-wave (mmWave) modular antenna array (MAA) networking platforms. In the reference networking system, multiple MAA modules exist and each MAA module consists of multiple elements; and the proposed algorithm dynamically allocates powers to the elements in MAA depending on the queue-backlog sizes in terms of the joint optimization of time-average energy-efficiency and queue stability.