Joint Communication and Trajectory Design for Movable Antenna Systems
Jiaxuan Li, Weidong Mei, Changhao Liu, Zhi Chen, Boyu Ning, and Rui Zhang

TL;DR
This paper proposes a joint communication and trajectory optimization for movable antennas to maximize data rates, using graph theory and closed-form solutions for special cases, with significant performance improvements shown in simulations.
Contribution
It introduces a novel joint optimization framework for movable antennas, transforming a complex problem into a shortest path problem for efficient solution.
Findings
Optimized trajectories significantly increase data rates.
The reformulation into a shortest path problem enables optimal solutions.
Simulation results outperform baseline schemes.
Abstract
Movable antennas (MAs) have attracted significant attention in wireless communications due to their ability to reconfigure channel conditions by flexibly adjusting the antenna positions within a confined region. However, MA movement generally incurs a non-negligible delay, which may significantly limit the data transmission time at optimized positions. To tackle this challenge, this paper investigates a new joint communication and trajectory optimization problem, where each MA transmits while moving along an optimized trajectory to prolong the effective data transmission time. Focusing on a single-MA system, our goal is to maximize the average data rate by optimizing the MA's positions over time, subject to its maximum velocity constraints. However, this continuous-time antenna position optimization problem is highly non-convex and challenging to solve. To tackle this challenge, we…
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