21 citations · 38 across the 17 of their papers we have counts for
9 papers · 1 filter
Precoder Learning by Leveraging Unitary Equivariance Property
Yilun Ge, Shuyao Liao, Shengqian Han +1
Incorporating mathematical properties of a wireless policy to be learned into the design of deep neural networks (DNNs) is effective for enhancing learning efficiency. Multi-user p…
Quantization Design for Deep Learning-Based CSI Feedback
Manru Yin, Shengqian Han, Chenyang Yang
Deep learning-based autoencoders have been employed to compress and reconstruct channel state information (CSI) in frequency-division duplex systems. Practical implementations requ…
Distributed Resource Block Allocation for Wideband Cell-free System
Yang Ma, Shengqian Han, Chenyang Yang
This paper studies distributed resource block (RB) allocation in wideband orthogonal frequency-division multiplexing (OFDM) cell-free systems. We propose a novel distributed sequen…
Learning of Uplink Resource Allocation with Multiuser QoS Constraints
Manru Yin, Shengqian Han, Chenyang Yang
In the paper the joint optimization of uplink multiuser power and resource block (RB) allocation are studied, where each user has quality of service (QoS) constraints on both long-…
Gradient-Driven Graph Neural Networks for Learning Digital and Hybrid Precoder
Lin Zhang, Shengqian Han, Chenyang Yang
The optimization of multi-user multi-input multi-output (MU-MIMO) precoders is a widely recognized challenging problem. Existing work has demonstrated the potential of graph neural…
Learning Wideband User Scheduling and Hybrid Precoding with Graph Neural Networks
Shengjie Liu, Chenyang Yang, Shengqian Han
User scheduling and hybrid precoding in wideband multi-antenna systems have never been learned jointly due to the challenges arising from the massive user combinations on resource…
ICI-Free Channel Estimation and Wireless Gesture Recognition Based on Cellular Signals
Rui Peng, Yafei Tian, Shengqian Han
Device-free wireless sensing attracts enormous attentions since it senses the environment without additional devices. While cellular signals are good opportunistic radio sources, t…
Multicell Power Control under Rate Constraints with Deep Learning
Yinghan Li, Shengqian Han, Chenyang Yang
In the paper we study a deep learning based method to solve the multicell power control problem for sum rate maximization subject to per-user rate constraints and per-base station…
Hybrid Beamforming Structure for Massive MIMO System: Full-connection v.s. Partial-connection
Zheda Li, Shengqian Han, Andreas F. Molisch
In this article we compare the performance of two typical hyrbid beamforming structures for multiuser massive MIMO systems, i.e., the full- and partial-connection structures. Under…