activity
20162021
most citedMeta-Reinforcement Learning Based Resource Allocation for Dynamic V2X Communications

133 citations · 173 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT2021133 cited

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…

cs.IT202130 cited

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…

cs.IT20206 cited

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…

cs.IT20204 cited

Intelligent User Clustering and Robust Beamforming Design for UAV-NOMA Downlink

Yanqing Xu, Fang Fang, Donghong Cai +1

In this work, we consider a downlink NOMA network with multiple single-antenna users and multi-antenna UAVs. In particular, the users are spatially located in several clusters by f…

cs.IT2016

On the Outage Performance of Non-Orthogonal Multiple Access with One-Bit Feedback

Peng Xu, Yi Yuan, Zhiguo Ding +2

In this paper, the outage performance of downlink non-orthogonal multiple access (NOMA) is investigated for the case where each user feeds back only one bit of its channel state in…