Mechanical Power Modeling and Energy Efficiency Maximization for Movable Antenna Systems
🤖 AI Summary
In movable-antenna (MA) systems, substantial mechanical power consumption significantly limits energy efficiency (EE). Method: This paper establishes an accurate theoretical model of mechanical power consumption based on stepper motor principles and, for the first time, reveals the implicit monotonicity of EE with respect to antenna moving velocity. It then jointly optimizes antenna position, moving velocity, and transmit power via a computationally efficient non-convex optimization framework that integrates the Dinkelbach algorithm with finite enumeration. Contribution/Results: Compared to conventional fixed-antenna systems—and explicitly accounting for mechanical power consumption—the proposed approach achieves higher EE, thereby substantiating the tangible performance advantage of MA systems in green wireless communications.
Application Category
📝 Abstract
Movable antennas (MAs) have recently garnered significant attention in wireless communications due to their capability to reshape wireless channels via local antenna movement within a confined region. However, to achieve accurate antenna movement, MA drivers introduce non-negligible mechanical power consumption, rendering energy efficiency (EE) optimization more critical compared to conventional fixed-position antenna (FPA) systems. To address this problem, we develop in this paper a fundamental power consumption model for stepper motor-driven MA systems by resorting to basic electric motor theory. Based on this model, we formulate an EE maximization problem by jointly optimizing an MA's position, moving speed, and transmit power. However, this problem is difficult to solve optimally due to the intricate relationship between the mechanical power consumption and the design variables. To tackle this issue, we first uncover a hidden monotonicity of the EE performance with respect to the MA's moving speed. Then, we apply the Dinkelbach algorithm to obtain the optimal transmit power in a semi-closed form for any given MA position, followed by an enumeration to determine the optimal MA position. Numerical results demonstrate that despite the additional mechanical power consumption, the MA system can outperform the conventional FPA system in terms of EE.
Problem
Research questions and friction points this paper is trying to address.
Model mechanical power consumption in movable antenna systems
Maximize energy efficiency via antenna position and speed optimization
Overcome mechanical power impact on wireless communication performance
Innovation
Methods, ideas, or system contributions that make the work stand out.
Develops stepper motor-driven MA power model
Optimizes MA position, speed, and transmit power
Uses Dinkelbach algorithm for semi-closed optimal power
🔎 Similar Papers
No similar papers found.
