6D Movable Antenna for Internet of Vehicles: CSI-Free Dynamic Antenna Configuration
Maoxin Ji, Qiong Wu, Pingyi Fan, Kezhi Wang, Wen Chen, Khaled B. Letaief

TL;DR
This paper introduces a low-complexity, CSI-free dynamic antenna configuration method for 6D movable antennas in IoV, leveraging vehicle motion prediction to enhance spectral efficiency amid high mobility.
Contribution
It pioneers the application of 6DMA in IoV and proposes a novel real-time configuration approach that does not require channel state information.
Findings
Significant sum rate improvement over fixed antenna arrays.
Effective antenna reconfiguration based on vehicle motion prediction.
Outperforms baseline schemes in urban intersection scenarios.
Abstract
Deploying six-dimensional movable antenna (6DMA) systems in Internet-of-Vehicles (IoV) scenarios can greatly enhance spectral efficiency. However, the high mobility of vehicles causes rapid spatio-temporal channel variations, posing a significant challenge to real-time 6DMA optimization. In this work, we pioneer the application of 6DMA in IoV and propose a low-complexity, instantaneous channel state information (CSI)-free dynamic configuration method. By integrating vehicle motion prediction with offline directional response priors, the proposed approach optimizes antenna positions and orientations at each reconfiguration epoch to maximize the average sum rate over a future time window. Simulation results in a typical urban intersection scenario demonstrate that the proposed 6DMA scheme significantly outperforms conventional fixed antenna arrays and simplified 6DMA baseline schemes in…
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Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Millimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization
