research
∙
03/30/2023
Stochastic Dynamics of Noisy Average Consensus: Analysis and Optimization
A continuous-time average consensus system is a linear dynamical system ...
share
research
∙
03/29/2023
Ordinary Differential Equation-based Sparse Signal Recovery
This study investigates the use of continuous-time dynamical systems for...
research
∙
03/29/2023
Gradient Flow Decoding for LDPC Codes
The power consumption of the integrated circuit is becoming a significan...
research
∙
12/23/2022
Deep Unfolding-based Weighted Averaging for Federated Learning under Heterogeneous Environments
Federated learning is a collaborative model training method by iterating...
research
∙
08/24/2022
Deterministic Fault-Tolerant Connectivity Labeling Scheme with Adaptive Query Processing Time
The f-fault-toleratant connectivity labeling (f-FTC labeling) is a schem...
research
∙
05/03/2022
MMSE Signal Detection for MIMO Systems based on Ordinary Differential Equation
Motivated by emerging technologies for energy efficient analog computing...
research
∙
02/10/2021
Proximal Decoding for LDPC-coded Massive MIMO Channels
We propose a novel optimization-based decoding algorithm for LDPC-coded ...
research
∙
11/24/2020
Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive Over-Relaxation
A distributed algorithm for least mean square (LMS) can be used in distr...
research
∙
10/26/2020
Convergence Acceleration via Chebyshev Step: Plausible Interpretation of Deep-Unfolded Gradient Descent
Deep unfolding is a promising deep-learning technique, whose network arc...
research
∙
04/20/2020
Deep Unfolded Multicast Beamforming
Multicast beamforming is a promising technique for multicast communicati...
research
∙
01/17/2020
Chebyshev Inertial Landweber Algorithm for Linear Inverse Problems
The Landweber algorithm defined on complex/real Hilbert spaces is a grad...
research
∙
01/15/2020
Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent
Deep unfolding is a promising deep-learning technique in which an iterat...
research
∙
01/10/2020
Chebyshev Inertial Iteration for Accelerating Fixed-Point Iterations
A novel method which is called the Chebyshev inertial iteration for acce...
research
∙
10/23/2019
Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access
Sparsely spread code division multiple access (SCDMA) is a promising non...
research
∙
06/26/2019
Proceedings of the 11th Asia-Europe Workshop on Concepts in Information Theory
This year, 2019 we celebrate 30 years of our friendship between Asian an...
research
∙
04/17/2019
Compute-and-forward relaying with LDPC codes over QPSK scheme
In this paper, we study a compute-and-forward (CAF) relaying scheme with...
research
∙
04/16/2019
Complex Field-Trainable ISTA for Linear and Nonlinear Inverse Problems
Complex-field linear/nonlinear inverse problems are central issues in wi...
research
∙
01/16/2019
Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying
The compute-and-forward (CAF) scheme has attracted great interests due t...
research
∙
01/15/2019
Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes
We present a novel optimization-based decoding algorithm for LDPC codes ...
research
∙
12/25/2018
Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach
The paper presents a deep learning-aided iterative detection algorithm f...
research
∙
07/03/2018
Asymptotic Analysis of Spatial Coupling Coding for Compute-and-Forward Relaying
Compute-and-forward (CAF) relaying is effective to increase bandwidth ef...
research
∙
06/28/2018
Deep Learning-Aided Iterative Detector for Massive Overloaded MIMO Channels
The paper presents a deep learning-aided iterative detection algorithm f...
research
∙
04/28/2018
Secure Computation-and-Forward with Linear Codes
We discuss secure transmission via an untrusted relay when we have a mul...
research
∙
04/19/2018
Connectivity of Ad Hoc Wireless Networks with Node Faults
Connectivity of wireless sensor networks (WSNs) is a fundamental global ...
research
∙
04/17/2018
Joint Quantizer Optimization based on Neural Quantizer for Sum-Product Decoder
A low-precision analog-to-digital converter (ADC) is required to impleme...
research
∙
04/17/2018
Asymptotic Achievable Rate of Two-Dimensional Constraint Codes based on Column by Column Encoding
In this paper, we propose a column by column encoding scheme suitable fo...
research
∙
01/19/2018
Asymptotic Analysis on Spatial Coupling Coding for Two-Way Relay Channels
Compute-and-forward relaying is effective to increase bandwidth efficien...
research
∙
01/09/2018
k-connectivity of Random Graphs and Random Geometric Graphs in Node Fault Model
k-connectivity of random graphs is a fundamental property indicating rel...
research
∙
01/06/2018
Trainable ISTA for Sparse Signal Recovery
In this paper, we propose a novel sparse signal recovery algorithm calle...
research
∙
12/21/2017
Fault Tolerance of Random Graphs with respect to Connectivity: Phase Transition in Logarithmic Average Degree
The fault tolerance of random graphs with unbounded degrees with respect...
research
∙
10/29/2016
