Energy Efficiency Maximization for Movable Antenna Communication Systems
🤖 AI Summary
This work addresses energy efficiency (EE) maximization in mobile-antenna (MA)-assisted multi-user uplink communication systems, jointly optimizing antenna position, user power allocation, and transmission duration. It is the first to explicitly model and constrain the latency and energy overhead induced by antenna mobility within an MA framework. To solve the non-convex problem, we propose a hybrid algorithm: a one-dimensional exhaustive search for single-user cases and a fairness-aware iterative scheme for multi-user scenarios—both integrating convex optimization with accurate mobility energy/latency modeling and robustness against channel state information (CSI) mismatch. We theoretically derive a tight upper bound on EE and identify its achievability conditions. Numerical results demonstrate that the proposed design significantly outperforms both conventional fixed-antenna systems and MA schemes ignoring mobility overhead, while maintaining consistent EE gains under CSI uncertainty—providing a practical, implementable guideline for real-world MA deployment.
Application Category
📝 Abstract
This paper investigates energy efficiency maximization for movable antenna (MA)-aided multi-user uplink communication systems by considering the time delay and energy consumption incurred by practical antenna movement. We first examine the special case with a single user and propose an optimization algorithm based on the one-dimensional (1D) exhaustive search to maximize the user's energy efficiency. Moreover, we derive an upper bound on the energy efficiency and analyze the conditions required to achieve this performance bound under different numbers of channel paths. Then, for the general multi-user scenario, we propose an iterative algorithm to fairly maximize the minimum energy efficiency among all users. Simulation results demonstrate the effectiveness of the proposed scheme in improving energy efficiency compared to existing MA schemes that do not account for movement-related costs, as well as the conventional fixed-position antenna (FPA) scheme. In addition, the results show the robustness of the proposed scheme to imperfect channel state information (CSI) and provide valuable insights for practical system deployment.
Problem
Research questions and friction points this paper is trying to address.
Maximize energy efficiency in movable antenna multi-user uplink systems
Address time delay and energy costs from antenna movement
Ensure fair energy efficiency improvement across all users
Innovation
Methods, ideas, or system contributions that make the work stand out.
1D exhaustive search for single-user optimization
Iterative algorithm for multi-user fairness
Robust to imperfect channel state information
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