Joint trajectory and beamforming optimization via branch-and-bound yields globally optimal solutions that outperform static repositioning baselines in MA-enabled ISAC.
Optimal solutions for joint beamforming and antenna selection: From branch and bound to graph neural imitation learning,
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Movable-Antenna-Enhanced ISAC: Optimal Antenna Trajectory and Beamforming Design
Joint trajectory and beamforming optimization via branch-and-bound yields globally optimal solutions that outperform static repositioning baselines in MA-enabled ISAC.