Movable-Antenna Position Optimization: A Graph-based Approach
Weidong Mei, Xin Wei, Boyu Ning, Zhi Chen, and Rui Zhang

TL;DR
This paper introduces a graph-based method for optimizing movable antenna positions in MISO systems, transforming the problem into a shortest path problem and proposing efficient algorithms for near-optimal solutions, leading to significant performance improvements.
Contribution
It presents a novel graph-theoretic approach to discrete antenna position optimization, including an optimal polynomial-time algorithm and a fast suboptimal method.
Findings
Proposed algorithms outperform fixed-position antennas in signal power.
Graph-based approach effectively solves the discrete position selection problem.
Significant performance gains demonstrated through numerical results.
Abstract
Fluid antennas (FAs) and movable antennas (MAs) have emerged as promising technologies in wireless communications, which offer the flexibility to improve channel conditions by adjusting transmit/receive antenna positions within a spatial region. In this letter, we focus on an MA-enhanced multiple-input single-output (MISO) communication system, aiming to optimize the positions of multiple transmit MAs to maximize the received signal power. Unlike the prior works on continuously searching for the optimal MA positions, we propose to sample the transmit region into discrete points, such that the continuous antenna position optimization problem is transformed to a discrete sampling point selection problem based on the point-wise channel information. However, such a point selection problem is combinatory and challenging to be optimally solved. To tackle this challenge, we ingeniously recast…
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Taxonomy
TopicsGenome Rearrangement Algorithms · Vehicle Routing Optimization Methods · Satellite Communication Systems
