35 citations · 92 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
Deep Learning Based Predictive Beamforming Design
Juping Zhang, Gan Zheng, Yangyishi Zhang +2
This paper investigates deep learning techniques to predict transmit beamforming based on only historical channel data without current channel information in the multiuser multiple…
Embedding Model Based Fast Meta Learning for Downlink Beamforming Adaptation
Juping Zhang, Yi Yuan, Gan Zheng +2
This paper studies the fast adaptive beamforming for the multiuser multiple-input single-output downlink. Existing deep learning-based approaches assume that training and testing c…
Model-driven Learning for Generic MIMO Downlink Beamforming With Uplink Channel Information
Juping Zhang, Minglei You, Gan Zheng +2
Accurate downlink channel information is crucial to the beamforming design, but it is difficult to obtain in practice. This paper investigates a deep learning-based optimization ap…
Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration
Juping Zhang, Wenchao Xia, Minglei You +3
This paper studies fast downlink beamforming algorithms using deep learning in multiuser multiple-input-single-output systems where each transmit antenna at the base station has it…
Specific Absorption Rate-Aware Beamforming in MISO Downlink SWIPT Systems
Juping Zhang, Gan Zheng, Ioannis Krikidis +1
This paper investigates the optimal transmit beamforming design of simultaneous wireless information and power transfer (SWIPT) in the multiuser multiple-input-single-output (MISO)…