133 citations · 202 across the 12 of their papers we have counts for
15 papers
Meta-Reinforcement Learning Based Resource Allocation for Dynamic V2X Communications
Yi Yuan, Gan Zheng, Kai-Kit Wong +1
This paper studies the allocation of shared resources between vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) links in vehicle-to-everything (V2X) communications. In e…
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…
Transfer Learning and Meta Learning Based Fast Downlink Beamforming Adaptation
Yi Yuan, Gan Zheng, Kai-Kit Wong +2
This paper studies fast adaptive beamforming optimization for the signal-to-interference-plus-noise ratio balancing problem in a multiuser multiple-input single-output downlink sys…
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…
Model-Driven Beamforming Neural Networks
Wenchao Xia, Gan Zheng, Kai-Kit Wong +1
Beamforming is evidently a core technology in recent generations of mobile communication networks. Nevertheless, an iterative process is typically required to optimize the paramete…