97 citations · 221 across the 22 of their papers we have counts for
22 papers
Triple-Structured Compressive Sensing-based Channel Estimation for RIS-aided MU-MIMO Systems
Xu Shi, Jintao Wang, Guozhi Chen +1
Reconfigurable intelligent surface (RIS) has been recognized as a potential technology for 5G beyond and attracted tremendous research attention. However, channel estimation in RIS…
Joint Link Rate Selection and Channel State Change Detection in Block-Fading Channels
Haoyue Tang, Xinyu Hou, Jintao Wang +1
In this work, we consider the problem of transmission rate selection for a discrete time point-to-point block fading wireless communication link. The wireless channel remains const…
Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System
Zhilin Lu, Xudong Zhang, Hongyi He +2
Massive multiple-input multiple-output (MIMO) is one of the key techniques to achieve better spectrum and energy efficiency in 5G system. The channel state information (CSI) needs…
Aggregated Network for Massive MIMO CSI Feedback
Zhilin Lu, Hongyi He, Zhengyang Duan +2
In frequency division duplexing (FDD) mode, it is necessary to send the channel state information (CSI) from user equipment to base station. The downlink CSI is essential for the m…
Binary Neural Network Aided CSI Feedback in Massive MIMO System
Zhilin Lu, Jintao Wang, Jian Song
In massive multiple-input multiple-output (MIMO) system, channel state information (CSI) is essential for the base station to achieve high performance gain. Recently, deep learning…
Minimizing Age of Information with Power Constraints: Multi-user Opportunistic Scheduling in Multi-State Time-Varying Channels
Haoyue Tang, Jintao Wang, Linqi Song +1
This work is motivated by the need of collecting fresh data from power-constrained sensors in the industrial Internet of Things (IIoT) network. A recently proposed metric, the Age…
Optimizing Data Freshness in Time-Varying Wireless Networks with Imperfect Channel State
Haoyue Tang, Jintao Wang, Philippe Ciblat +1
We consider a scenario where a base station (BS) attempts to collect fresh information from power constrained sensors over time-varying band-limited wireless channels. We character…
Multi-resolution CSI Feedback with deep learning in Massive MIMO System
Zhilin Lu, Jintao Wang, Jian Song
In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to send downlink channel state information (CSI) back to base station (BS). However, the feedback…
Deep Learning based Channel Estimation Algorithm over Time Selective Fading Channels
Qinbo Bai, Jintao Wang, Yue Zhang +1
The research about deep learning application for physical layer has been received much attention in recent years. In this paper, we propose a Deep Learning (DL) based channel estim…
Reconfigurable Intelligent Surfaces vs. Relaying: Differences, Similarities, and Performance Comparison
M. Di Renzo, K. Ntontin, J. Song +12
Reconfigurable intelligent surfaces (RISs) have the potential of realizing the emerging concept of smart radio environments by leveraging the unique properties of meta-surfaces. In…
Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints
Haoyue Tang, Jintao Wang, Linqi Song +1
In this paper, we study how to collect fresh data in time-varying networks with power constrained users. We measure data freshness from the perspective of the central controller by…
Scheduling to Minimize Age of Synchronization in Wireless Broadcast Networks with Random Updates
Haoyue Tang, Jintao Wang, Zihan Tang +1
In this work, a wireless broadcast network with a base station (BS) sending random time-sensitive information updates to multiple users with interference constraints is considered.…
Towards Higher Spectral Efficiency: Spatial Path Index Modulation Improves Millimeter-Wave Hybrid Beamforming
Jintao Wang, Longzhuang He, Jian Song
The combination of millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems and index modulation (IM) technique has recently constituted a novel form of mmWave hybrid…
Joint Transceiver Optimization for Wireless Communication PHY with Convolutional Neural Network
Banghua Zhu, Jintao Wang, Longzhuang He +1
Deep Learning has a wide application in the area of natural language processing and image processing due to its strong ability of generalization. In this paper, we propose a novel…
A High-Accuracy Adaptive Beam Training Algorithm for MmWave Communication
Zihan Tang, Jun Wang, Jintao Wang +1
In millimeter wave communications, beam training is an effective way to achieve beam alignment. Traditional beam training method allocates training resources equally to each beam i…
Spatial Modulation for More Spatial Multiplexing: RF-Chain-Limited Generalized Spatial Modulation Aided MmWave MIMO with Hybrid Precoding
Longzhuang He, Jintao Wang, Jian Song
The application of hybrid precoding in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems has been proved effective for reducing the number of radio frequency (…
On the Achievable Spectral Efficiency of Spatial Modulation Aided Downlink Non-Orthogonal Multiple Access
Xuesi Wang, Jintao Wang, Longzhuang He +2
In this paper, a novel spatial modulation aided non-orthogonal multiple access (SM-NOMA) system is proposed. We use mutual information (MI) to characterize the achievable spectral…
Generalized Spatial Modulation Aided MmWave MIMO with Sub-Connected Hybrid Precoding Scheme
Longzhuang He, Jintao Wang, Jian Song
Due to the high cost and low energy efficiency of the dedicated radio frequency (RF) chains, the number of RF chains in a millimeter wave (mmWave) multiple-input multiple-output (M…
Spectral-Efficient Analog Precoding for Generalized Spatial Modulation Aided MmWave MIMO
Longzhuang He, Jintao Wang, Jian Song
Generalized spatial modulation (GenSM) aided millimeter wave (mmWave) multiple-input multiple-output (MIMO) has recently received substantial academic attention. However, due to th…
Spectral Efficiency Analysis for Spatial Modulation in Massive MIMO Uplink over Dispersive Channels
Yue Sun, Jintao Wang, Longzhuang He +1
Flat-fading channel models are usually invoked for analyzing the performance of massive spatial modulation multiple-input multiple-output (SM-MIMO) systems. However, in the context…
On the Multi-User, Multi-Cell Massive Spatial Modulation Uplink: How Many Antennas for Each User?
Longzhuang He, Jintao Wang, Jian Song +1
Massive spatial modulation aided multiple-input multiple-output (SM-MIMO) systems have recently been proposed as a novel combination of spatial modulation (SM) and of conventional…
Multiuser Diversity Gain from Superposition of Infinite Users over Block-Fading MAC
Yushu Zhang, Kewu Peng, Jian Song +1
In uplink block-fading multiple access channel (BF-MAC), the advantage of multiuser diversity (MUD) can be taken to achieve higher system throughput. In this letter, with rate cons…