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 terms of total sum rate.

翻译：在车联网场景中部署六维可动天线系统可大幅提升频谱效率。然而，车辆的高机动性导致空时信道快速变化，对实时优化六维可动天线提出了严峻挑战。本文首次探索六维可动天线在车联网中的应用，并提出一种低复杂度、免瞬时信道状态信息的动态配置方法。该方法融合车辆运动预测与离线方向响应先验知识，在每个重配置周期内优化天线位置与朝向，以最大化未来时间窗口内的平均总速率。典型城市交叉路口场景的仿真结果表明，所提六维可动天线方案在总速率上显著优于传统固定天线阵列及简化六维可动天线基线方案。