44 citations · 55 across the 8 of their papers we have counts for
8 papers · 1 filter
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…