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cs.IT2024
Hybrid Quantum-Classical Neural Networks for Downlink Beamforming Optimization
Juping Zhang, Gan Zheng, Toshiaki Koike-Akino +2
This paper investigates quantum machine learning to optimize the beamforming in a multiuser multiple-input single-output downlink system. We aim to combine the power of quantum neu…
cs.IT2024
A Data and Model-Driven Deep Learning Approach to Robust Downlink Beamforming Optimization
Kai Liang, Gan Zheng, Zan Li +2
This paper investigates the optimization of the long-standing probabilistically robust transmit beamforming problem with channel uncertainties in the multiuser multiple-input singl…