80 citations · 215 across the 33 of their papers we have counts for
34 papers
On the Doppler Squint Effect in OTFS Systems over Doubly-Dispersive Channels: Modeling and Evaluation
Xuehan Wang, Xu Shi, Jintao Wang +1
Extensive work has demonstrated the excellent performance of orthogonal time frequency space (OTFS) modulation in high-mobility scenarios. Time-variant wideband channel estimation…
Chirp-based Hierarchical Beam Training for Extremely Large-Scale Massive MIMO
Xu Shi, Jintao Wang, Zhi Sun +1
XL-MIMO promises to provide ultrahigh data rates in Terahertz (THz) spectrum. However, the spherical-wavefront wireless transmission caused by large aperture array presents huge ch…
Age of Information Optimization in Multi-Channel Network with Sided Information
Yuchao Chen, Jintao Wang, Xiaoqing Wang +1
We consider a discrete-time multi-channel network where the destination collects time-sensitive packets from multiple sources with sided channel information. The popular metric, Ag…
Enhanced Tracking and Beamforming Codebook Design for Wideband Terahertz Massive MIMO System
Xu Shi, Jintao Wang, Jian Song
True-time-delay (TTD) lines are recently applied inside Terahertz (THz) hybrid-precoding transceiver to acquire high beamforming gain against beam squint effect. However, beam trac…
Better Lightweight Network for Free: Codeword Mimic Learning for Massive MIMO CSI feedback
Zhilin Lu, Xudong Zhang, Rui Zeng +1
The channel state information (CSI) needs to be fed back from the user equipment (UE) to the base station (BS) in frequency division duplexing (FDD) multiple-input multiple-output…
Spatial-chirp Codebook-based Hierarchical Beam Training for Extremely Large-Scale Massive MIMO
Xu Shi, Jintao Wang, Zhi Sun +1
Extremely large-scale multiple-input multiple-output (XL-MIMO) promises to provide ultrahigh data rates in millimeter-wave (mmWave) and Terahertz (THz) spectrum. However, the spher…
RIS-Aided MIMO Systems with Hardware Impairments: Robust Beamforming Design and Analysis
Jintao Wang, Shiqi Gong, Qingqing Wu +1
Reconfigurable intelligent surface (RIS) has been anticipated to be a novel cost-effective technology to improve the performance of future wireless systems. In this paper, we inves…
Sending Timely Status Updates through Channel with Random Delay via Online Learning
Haoyue Tang, Yuchao Chen, Jintao Wang +2
In this work, we study a status update system with a source node sending timely information to the destination through a channel with random delay. We measure the timeliness of the…
Tradeoff between Diversity and Multiplexing Gains in Block Fading Optical Wireless Channels
Sufang Yang, Longguang Li, Haoyue Tang +1
The diversity-multiplexing tradeoff (DMT) provides a fundamental performance metric for different multiple-input multiple-output (MIMO) schemes in wireless communications. In this…
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…
On the Generative Utility of Cyclic Conditionals
Chang Liu, Haoyue Tang, Tao Qin +2
We study whether and how can we model a joint distribution using two conditional models and that form a cycle. This is motivated by the observation that…
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…
Cache Updating Strategy Minimizing the Age of Information with Time-Varying Files' Popularities
Haoyue Tang, Philippe Ciblat, Jintao Wang +2
We consider updating strategies for a local cache which downloads time-sensitive files from a remote server through a bandwidth-constrained link. The files are requested randomly f…
Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint
Wenhao Zhan, Haoyue Tang, Jintao Wang
We consider a scenario where a power constrained transmitter delivers randomly arriving packets to the destination over Markov time-varying channel and adapts different transmissio…
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…
Age of Information Aware Cache Updating with File- and Age-Dependent Update Durations
Haoyue Tang, Philippe Ciblat, Jintao Wang +2
We consider a system consisting of a library of time-varying files, a server that at all times observes the current version of all files, and a cache that at the beginning stores t…
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…
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.…