6D Movable Antenna for Internet of Vehicles: CSI-Free Dynamic Antenna Configuration
This work addresses the problem of enhancing spectral efficiency in IoV communications for vehicle networks, but it is incremental as it builds on existing 6DMA concepts with a new configuration method.
The paper tackles the challenge of real-time optimization for six-dimensional movable antenna (6DMA) systems in Internet-of-Vehicles (IoV) scenarios, where high vehicle mobility causes rapid channel variations, and proposes a low-complexity, CSI-free dynamic configuration method that integrates motion prediction and offline priors to maximize sum rate, with simulation results showing it significantly outperforms fixed antenna arrays and baseline 6DMA schemes in total sum rate.
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.