research
∙
08/29/2023
Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics
In this paper, we consider sampling an Ornstein-Uhlenbeck (OU) process t...
share
research
∙
08/15/2023
Demo: Reconfigurable Distributed Antennas and Reflecting Surface (RDARS)-aided Integrated Sensing and Communication System
Integrated sensing and communication (ISAC) system has been envisioned a...
research
∙
03/13/2023
Reconfigurable Distributed Antennas and Reflecting Surface (RDARS): A New Architecture for Wireless Communications
Reconfigurable intelligent surfaces (RISs) have drawn much attention rec...
research
∙
03/01/2023
On the Capacity Region of Optical Intensity Broadcast Channels
This paper investigates the capacity region of the optical intensity bro...
research
∙
02/15/2023
Deep Learning for Hybrid Beamforming with Finite Feedback in GSM Aided mmWave MIMO Systems
Hybrid beamforming is widely recognized as an important technique for mi...
research
∙
02/13/2023
On the Doppler Squint Effect in OTFS Systems over Doubly-Dispersive Channels: Modeling and Evaluation
Extensive work has demonstrated the excellent performance of orthogonal ...
research
∙
02/05/2023
Towards Efficient Subarray Hybrid Beamforming: Attention Network-based Practical Feedback in FDD Massive MU-MIMO Systems
Channel state information (CSI) feedback is necessary for the frequency ...
research
∙
01/27/2023
Chirp-based Hierarchical Beam Training for Extremely Large-Scale Massive MIMO
XL-MIMO promises to provide ultrahigh data rates in Terahertz (THz) spec...
research
∙
12/14/2022
Age of Information Optimization in Multi-Channel Network with Sided Information
We consider a discrete-time multi-channel network where the destination ...
research
∙
11/25/2022
Enhanced Tracking and Beamforming Codebook Design for Wideband Terahertz Massive MIMO System
True-time-delay (TTD) lines are recently applied inside Terahertz (THz) ...
research
∙
11/05/2022
Quantization Adaptor for Bit-Level Deep Learning-Based Massive MIMO CSI Feedback
In massive multiple-input multiple-output (MIMO) systems, the user equip...
research
∙
10/29/2022
Better Lightweight Network for Free: Codeword Mimic Learning for Massive MIMO CSI feedback
The channel state information (CSI) needs to be fed back from the user e...
research
∙
10/07/2022
Hierarchical Codebook-based Beam Training for Extremely Large-Scale Massive MIMO
Extremely large-scale multiple-input multiple-output (XL-MIMO) promises ...
research
∙
09/23/2022
RIS-Aided MIMO Systems with Hardware Impairments: Robust Beamforming Design and Analysis
Reconfigurable intelligent surface (RIS) has been anticipated to be a no...
research
∙
02/27/2022
Age Optimal Sampling Under Unknown Delay Statistics
This paper revisits the problem of sampling and transmitting status upda...
research
∙
12/20/2021
Sending Timely Status Updates through Channel with Random Delay via Online Learning
In this work, we study a status update system with a source node sending...
research
∙
12/09/2021
Tradeoff between Diversity and Multiplexing Gains in Block Fading Optical Wireless Channels
The diversity-multiplexing tradeoff (DMT) provides a fundamental perform...
research
∙
08/31/2021
Triple-Structured Compressive Sensing-based Channel Estimation for RIS-aided MU-MIMO Systems
Reconfigurable intelligent surface (RIS) has been recognized as a potent...
research
∙
08/22/2021
Joint Link Rate Selection and Channel State Change Detection in Block-Fading Channels
In this work, we consider the problem of transmission rate selection for...
research
∙
06/30/2021
On the Generative Utility of Cyclic Conditionals
We study whether and how can we model a joint distribution p(x,z) using ...
research
∙
05/01/2021
Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System
Massive multiple-input multiple-output (MIMO) is one of the key techniqu...
research
∙
01/17/2021
Aggregated Network for Massive MIMO CSI Feedback
In frequency division duplexing (FDD) mode, it is necessary to send the ...
research
∙
11/05/2020
Binary Neural Network Aided CSI Feedback in Massive MIMO System
In massive multiple-input multiple-output (MIMO) system, channel state i...
research
∙
10/09/2020
Cache Updating Strategy Minimizing the Age of Information with Time-Varying Files' Popularities
We consider updating strategies for a local cache which downloads time-s...
research
∙
09/28/2020
Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint
We consider a scenario where a power constrained transmitter delivers ra...
research
∙
12/11/2019
Minimizing Age of Information with Power Constraints: Opportunistic Scheduling in Multi-State Time-Varying Networks
This work is motivated by the need of collecting fresh data from power-c...
research
∙
10/31/2019
Multi-resolution CSI Feedback with deep learning in Massive MIMO System
In massive multiple-input multiple-output (MIMO) system, user equipment ...
research
∙
10/06/2019
Optimizing Data Freshness in Time-Varying Wireless Networks with Imperfect Channel State
We consider a scenario where a base station (BS) attempts to collect fre...
research
∙
09/12/2019
Age of Information Aware Cache Updating with File- and Age-Dependent Update Durations
We consider a system consisting of a library of time-varying files, a se...
research
∙
08/04/2019
Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints
In this paper, we study how to collect fresh data in time-varying networ...
research
∙
07/17/2019
Scheduling to Minimize Age of Synchronization in Wireless Broadcast Networks with Random Updates
In this work, a wireless broadcast network with a base station (BS) send...
research
∙
02/26/2019
Towards Higher Spectral Efficiency: Spatial Path Index Modulation Improves Millimeter-Wave Hybrid Beamforming
The combination of millimeter wave (mmWave) multiple-input multiple-outp...
research
∙
07/16/2018
A High-Accuracy Adaptive Beam Training Algorithm for MmWave Communication
In millimeter wave communications, beam training is an effective way to ...
research
∙
12/01/2017
