Antenna Elements' Trajectory Optimization for Throughput Maximization in Continuous-Trajectory Fluid Antenna-Aided Wireless Communications
Shuaixin Yang, Yijia Li, Yue Xiao, Yong Liang Guan, Kai-Kit Wong, Hyundong Shin, Chau Yuen

TL;DR
This paper introduces continuous-trajectory fluid antennas (CTFA) that optimize antenna movement paths over time to maximize throughput, considering practical kinematic constraints and outperforming fixed-position benchmarks.
Contribution
It formulates a joint optimization problem for antenna trajectories and transmit strategies, and proposes an iterative solution method for practical fluid antenna systems.
Findings
CTFA significantly improves total throughput over fixed-position antennas.
The proposed algorithm effectively solves the non-convex joint optimization problem.
Numerical results validate the advantages of continuous trajectories in fluid antenna systems.
Abstract
Fluid antenna (FA) systems offer novel spatial degrees of freedom (DoFs) with the potential for significant performance gains. Compared to existing works focusing solely on optimizing FA positions at discrete time instants, we introduce the concept of continuous-trajectory fluid antenna (CTFA), which explicitly considers the antenna element's movement trajectory across continuous time intervals and incorporates the inherent kinematic constraints present in practical FA implementations. Accordingly, we formulate the total throughput maximization problem in CTFA-aided wireless communication systems, addressing the joint optimization of continuous antenna trajectories in conjunction with the transmit covariance matrices under kinematic constraints. To effectively solve this non-convex problem with highly coupled optimization variables, we develop an iterative algorithm based on block…
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