Movable antennas at the base station, jointly optimized with beamforming, deliver substantial gains in worst-case sum rate for vehicular networks despite imperfect CSI.
DNN partitioning, task offloading, and resource allocation in dynamic vehicular networks: A Lyapunov-guided diffusion-based reinforcement learning approach,
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Movable-Antenna Enabled Robust Vehicular Consumer Networks Under Imperfect CSI
Movable antennas at the base station, jointly optimized with beamforming, deliver substantial gains in worst-case sum rate for vehicular networks despite imperfect CSI.