
Proximal Decoding for LDPCcoded Massive MIMO Channels
We propose a novel optimizationbased decoding algorithm for LDPCcoded ...
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Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive OverRelaxation
A distributed algorithm for least mean square (LMS) can be used in distr...
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Convergence Acceleration via Chebyshev Step: Plausible Interpretation of DeepUnfolded Gradient Descent
Deep unfolding is a promising deeplearning technique, whose network arc...
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Deep Unfolded Multicast Beamforming
Multicast beamforming is a promising technique for multicast communicati...
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Chebyshev Inertial Landweber Algorithm for Linear Inverse Problems
The Landweber algorithm defined on complex/real Hilbert spaces is a grad...
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Theoretical Interpretation of Learned Step Size in DeepUnfolded Gradient Descent
Deep unfolding is a promising deeplearning technique in which an iterat...
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Chebyshev Inertial Iteration for Accelerating FixedPoint Iterations
A novel method which is called the Chebyshev inertial iteration for acce...
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Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access
Sparsely spread code division multiple access (SCDMA) is a promising non...
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Proceedings of the 11th AsiaEurope Workshop on Concepts in Information Theory
This year, 2019 we celebrate 30 years of our friendship between Asian an...
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Computeandforward relaying with LDPC codes over QPSK scheme
In this paper, we study a computeandforward (CAF) relaying scheme with...
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Complex FieldTrainable ISTA for Linear and Nonlinear Inverse Problems
Complexfield linear/nonlinear inverse problems are central issues in wi...
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Asymptotic Analysis on LDPCBICM Scheme for ComputeandForward Relaying
The computeandforward (CAF) scheme has attracted great interests due t...
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Deep LearningAided Trainable Projected Gradient Decoding for LDPC Codes
We present a novel optimizationbased decoding algorithm for LDPC codes ...
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Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Datadriven Tuning Approach
The paper presents a deep learningaided iterative detection algorithm f...
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Asymptotic Analysis of Spatial Coupling Coding for ComputeandForward Relaying
Computeandforward (CAF) relaying is effective to increase bandwidth ef...
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Deep LearningAided Iterative Detector for Massive Overloaded MIMO Channels
The paper presents a deep learningaided iterative detection algorithm f...
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Secure ComputationandForward with Linear Codes
We discuss secure transmission via an untrusted relay when we have a mul...
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Connectivity of Ad Hoc Wireless Networks with Node Faults
Connectivity of wireless sensor networks (WSNs) is a fundamental global ...
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Joint Quantizer Optimization based on Neural Quantizer for SumProduct Decoder
A lowprecision analogtodigital converter (ADC) is required to impleme...
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Asymptotic Achievable Rate of TwoDimensional Constraint Codes based on Column by Column Encoding
In this paper, we propose a column by column encoding scheme suitable fo...
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Asymptotic Analysis on Spatial Coupling Coding for TwoWay Relay Channels
Computeandforward relaying is effective to increase bandwidth efficien...
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kconnectivity of Random Graphs and Random Geometric Graphs in Node Fault Model
kconnectivity of random graphs is a fundamental property indicating rel...
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Trainable ISTA for Sparse Signal Recovery
In this paper, we propose a novel sparse signal recovery algorithm calle...
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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...
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Sparse Signal Recovery for Binary Compressed Sensing by Majority Voting Neural Networks
In this paper, we propose majority voting neural networks for sparse sig...
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Tadashi Wadayama
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