469 citations · 3.4k across the 163 of their papers we have counts for
113 papers · 1 filter
Efficient Near Maximum-Likelihood Reliability-Based Decoding for Short LDPC Codes
Weiyang Zhang, Chentao Yue, Yonghui Li +1
In this paper, we propose an efficient decoding algorithm for short low-density parity check (LDPC) codes by carefully combining the belief propagation (BP) decoding and order stat…
Structure-Enhanced DRL for Optimal Transmission Scheduling
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo +3
Remote state estimation of large-scale distributed dynamic processes plays an important role in Industry 4.0 applications. In this paper, we focus on the transmission scheduling pr…
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo +2
Remote state estimation of large-scale distributed dynamic processes plays an important role in Industry 4.0 applications. In this paper, by leveraging the theoretical results of s…
A Scalable Graph Neural Network Decoder for Short Block Codes
Kou Tian, Chentao Yue, Changyang She +2
In this work, we propose a novel decoding algorithm for short block codes based on an edge-weighted graph neural network (EW-GNN). The EW-GNN decoder operates on the Tanner graph w…
Ordered-Statistics Decoding with Adaptive Gaussian Elimination Reduction for Short Codes
Chentao Yue, Mahyar Shirvanimoghaddam, Branka Vucetic +1
In this paper, we propose an efficient ordered-statistics decoding (OSD) algorithm with an adaptive Gaussian elimination (GE) reduction technique. The proposed decoder utilizes two…
Efficient Decoders for Short Block Length Codes in 6G URLLC
Chentao Yue, Vera Miloslavskaya, Mahyar Shirvanimoghaddam +2
This paper reviews the potential channel decoding techniques for ultra-reliable low-latency communications (URLLC). URLLC is renowned for its stringent requirements including ultra…
Deep Reinforcement Learning for Radio Resource Allocation in NOMA-based Remote State Estimation
Gaoyang Pang, Wanchun Liu, Yonghui Li +1
Remote state estimation, where many sensors send their measurements of distributed dynamic plants to a remote estimator over shared wireless resources, is essential for mission-cri…
Proximal Policy Optimization-based Transmit Beamforming and Phase-shift Design in an IRS-aided ISAC System for the THz Band
Xiangnan Liu, Haijun Zhang, Keping Long +3
In this paper, an IRS-aided integrated sensing and communications (ISAC) system operating in the terahertz (THz) band is proposed to maximize the system capacity. Transmit beamform…
HARQ Optimization for Real-Time Remote Estimation in Wireless Networked Control
Faisal Nadeem, Yonghui Li, Branka Vucetic +1
This paper analyzes wireless network control for remote estimation of linear time-invariant dynamical systems under various Hybrid Automatic Repeat Request (HARQ) packet retransmis…
NOMA Joint Decoding based on Soft-Output Ordered-Statistics Decoder for Short Block Codes
Chentao Yue, Alva Kosasih, Mahyar Shirvanimoghaddam +5
In this paper, we design the joint decoding (JD) of non-orthogonal multiple access (NOMA) systems employing short block length codes. We first proposed a low-complexity soft-output…
Linear-Equation Ordered-Statistics Decoding
Chentao Yue, Mahyar Shirvanimoghaddam, Giyoon Park +3
In this paper, we propose a new linear-equation ordered-statistics decoding (LE-OSD). Unlike the OSD, LE-OSD uses high reliable parity bits rather than information bits to recover…
Analysis and Optimization of HARQ for URLLC
Faisal Nadeem, Yonghui Li, Branka Vucetic +1
In this paper, we investigate the effectiveness of the hybrid automatic repeat request (HARQ) technique in providing high-reliability and low-latency in the finite blocklength (FBL…
Over-the-Air Computation via Broadband Channels
Tianrui Qin, Wanchun Liu, Branka Vucetic +1
Over-the-air computation (AirComp) has been recognized as a low-latency solution for wireless sensor data fusion, where multiple sensors send their measurement signals to a receive…
Analysis and Design of Analog Fountain Codes for Short Packet Communications
Wen Jun Lim, Rana Abbas, Yonghui Li +2
In this paper, we focus on the design and analysis of the Analog Fountain Code (AFC) for short packet communications. We first propose a density evolution (DE) based framework, whi…
Over-the-Air Computation with Spatial-and-Temporal Correlated Signals
Wanchun Liu, Xin Zang, Branka Vucetic +1
Over-the-air computation (AirComp) leveraging the superposition property of wireless multiple-access channel (MAC), is a promising technique for effective data collection and compu…
Optimizing Information Freshness for Cooperative IoT Systems with Stochastic Arrivals
Bohai Li, Qian Wang, He Chen +2
This paper considers a cooperative Internet of Things (IoT) system with a source aiming to transmit randomly generated status updates to a designated destination as timely as possi…
Task Offloading for Large-Scale Asynchronous Mobile Edge Computing: An Index Policy Approach
Yizhen Xu, Peng Cheng, Zhuo Chen +3
Mobile-edge computing (MEC) offloads computational tasks from wireless devices to network edge, and enables real-time information transmission and computing. Most existing work con…
Anytime Control under Practical Communication Model
Wanchun Liu, Daniel E. Quevedo, Yonghui Li +1
We investigate a novel anytime control algorithm for wireless networked control with random dropouts. The controller computes sequences of tentative future control commands using t…
Beyond Cell-free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-free MIMO Communications
Yutong Zhang, Boya Di, Hongliang Zhang +3
Cell-free systems can effectively eliminate the inter-cell interference by enabling multiple base stations (BSs) to cooperatively serve users without cell boundaries at the expense…
Random Shifting Intelligent Reflecting Surface for OTP Encrypted Data Transmission
Zijie Ji, Phee Lep Yeoh, Gaojie Chen +5
In this paper, we propose a novel encrypted data transmission scheme using an intelligent reflecting surface (IRS) to generate secret keys in wireless communication networks. We sh…
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications
Xuemeng Liu, Chang Liu, Yonghui Li +2
Channel estimation is a challenging problem for realizing efficient ambient backscatter communication (AmBC) systems. In this letter, channel estimation in AmBC is modeled as a den…
Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles
Yuxin Lu, Peng Cheng, Zhuo Chen +3
Envisioned as a promising component of the future wireless Internet-of-Things (IoT) networks, the non-orthogonal multiple access (NOMA) technique can support massive connectivity w…
Optimizing Information Freshness via Multiuser Scheduling with Adaptive NOMA/OMA
Qian Wang, He Chen, Changhong Zhao +3
This paper considers a wireless network with a base station (BS) conducting timely status updates to multiple clients via adaptive non-orthogonal multiple access (NOMA)/orthogonal…
Optimizing Information Freshness in Two-Hop Status Update Systems under a Resource Constraint
Yifan Gu, Qian Wang, He Chen +2
In this paper, we investigate the age minimization problem for a two-hop relay system, under a resource constraint on the average number of forwarding operations at the relay. We f…