2 citations · 2 across the 5 of their papers we have counts for
6 papers
Massive MIMO CSI Feedback with Spiking Neural Networks
Yanzhen Liu, Geoffrey Ye Li
Deep learning-based channel state information (CSI) feedback has achieved empirical success in massive multiple-input multiple-output (MIMO) systems. However, existing approaches l…
Enabling Green Wireless Communications with Neuromorphic Continual Learning
Yanzhen Liu, Zhijin Qin, Yongxu Zhu +1
The pursuit of carbon-neutral wireless networks is increasingly constrained by the escalating energy demands of deep learning-based signal processing. Here, we introduce SpikACom (…
Latency Minimization for mmWave D2D Mobile Edge Computing Systems: Joint Task Allocation and Hybrid Beamforming Design
Yanzhen Liu, Yunlong Cai, An Liu +2
Mobile edge computing (MEC) and millimeter wave (mmWave) communications are capable of significantly reducing the network's delay and enhancing its capacity. In this paper we inves…
Deep-Unfolding Beamforming for Intelligent Reflecting Surface assisted Full-Duplex Systems
Yanzhen Liu, Qiyu Hu, Yunlong Cai +2
In this paper, we investigate an intelligent reflecting surface (IRS) assisted multi-user multiple-input multiple-output (MIMO) full-duplex (FD) system. We jointly optimize the act…
Latency Minimization in Intelligent Reflecting Surface Assisted D2D Offloading Systems
Yanzhen Liu, Qiyu Hu, Yunlong Cai +1
In this letter, we investigate an intelligent reflecting surface (IRS) aided device-to-device (D2D) offloading system, where an IRS is employed to assist in computation offloading…
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays
Qiyu Hu, Yanzhen Liu, Yunlong Cai +2
The millimeter wave (mmWave) multiuser multiple-input multiple-output (MU-MIMO) systems with discrete lens arrays (DLA) have received great attention due to their simple hardware i…