21 citations · 38 across the 17 of their papers we have counts for
17 papers
Optimizing QoE-Privacy Tradeoff for Proactive VR Streaming
Xing Wei, Shengqian Han, Chenyang Yang +1
Proactive virtual reality (VR) streaming requires users to upload viewpoint-related information, raising significant privacy concerns. Existing strategies preserve privacy by intro…
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…
Duration-Squeezing-Aware Communication and Computing for Proactive VR
Xing Wei, Chenyang Yang, Shengqian Han
Proactive tile-based virtual reality video streaming computes and delivers the predicted tiles to be requested before playback. All existing works overlook the important fact that…
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…
Prediction, Communication, and Computing Duration Optimization for VR Video Streaming
Xing Wei, Chenyang Yang, Shengqian Han
Proactive tile-based video streaming can avoid motion-to-photon latency of wireless virtual reality (VR) by computing and delivering the predicted tiles to be requested before play…
Hybrid Beamforming for Massive MIMO - A Survey
Andreas F. Molisch, Vishnu V. Ratnam, Shengqian Han +4
Hybrid multiple-antenna transceivers, which combine large-dimensional analog pre/postprocessing with lower-dimensional digital processing, are the most promising approach for reduc…
Full Duplex Assisted Inter-cell Interference Cancellation in Heterogeneous Networks
Shengqian Han, Chenyang Yang, Pan Chen
The paper studies the suppression of cross-tier inter-cell interference (ICI) generated by a macro base station (MBS) to pico user equipments (PUEs) in heterogeneous networks (HetN…
Is Massive MIMO Energy Efficient?
Wenjia Liu, Shengqian Han, Chenyang Yang
Massive multi-input multi-output (MIMO) can support high spectral efficiency (SE) with simple linear transceivers, and is expected to provide high energy efficiency (EE). In this p…
A new semidefinite relaxation for -constrained quadratic optimization and extensions
Yong Xia, Yu-Jun Gong, Sheng-Nan Han
In this paper, by improving the variable-splitting approach, we propose a new semidefinite programming (SDP) relaxation for the nonconvex quadratic optimization problem over the $\…
User Scheduling for Cooperative Base Station Transmission Exploiting Channel Asymmetry
Shengqian Han, Chenyang Yang, Mats Bengtsson
We study low-signalling overhead scheduling for downlink coordinated multi-point (CoMP) transmission with multi-antenna base stations (BSs) and single-antenna users. By exploiting…