A gradient-based meta-learning optimizer that jointly tunes antenna positions, beamforming, and artificial noise improves secrecy rate in movable-antenna secure ISAC simulations compared with six baselines.
Toward integrated sensing and com- munications for 6G: Key enabling technologies, standardization, and challenges,
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Antenna Positioning and Beamforming Optimization in MA Enabled Secure ISAC Systems: A Gradient-Based Meta Learning Approach
A gradient-based meta-learning optimizer that jointly tunes antenna positions, beamforming, and artificial noise improves secrecy rate in movable-antenna secure ISAC simulations compared with six baselines.