Throughput Maximization for Movable Antenna Systems with Movement Delay Consideration
Honghao Wang, Qingqing Wu, Ying Gao, Wen Chen, Weidong Mei, Guojie Hu,, Lexi Xu

TL;DR
This paper develops algorithms to maximize throughput in movable antenna systems by accounting for movement delay, optimizing antenna positioning, and demonstrating improved performance over fixed antennas in multiuser downlink communications.
Contribution
It introduces a novel approach to optimize movable antenna placement considering movement delay, including a quantization-based analysis and an efficient successive convex approximation algorithm.
Findings
Proposed algorithms outperform fixed-position schemes.
Algorithms are robust across various transmission durations and speeds.
Reduced hardware costs due to low-speed motor use.
Abstract
In this paper, we model the minimum achievable throughput within a transmission block of restricted duration and aim to maximize it in movable antenna (MA)-enabled multiuser downlink communications. Particularly, we account for the antenna moving delay caused by mechanical movement, which has not been fully considered in previous studies, and reveal the trade-off between the delay and signal-to-interference-plus-noise ratio at users. To this end, we first consider a single-user setup to analyze the necessity of antenna movement. By quantizing the virtual angles of arrival, we derive the requisite region size for antenna moving, design the initial MA position, and elucidate the relationship between quantization resolution and moving region size. Furthermore, an efficient algorithm is developed to optimize MA position via successive convex approximation, which is subsequently extended to…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Antenna Design and Analysis · Cooperative Communication and Network Coding
