235 citations · 345 across the 30 of their papers we have counts for
9 papers · 1 filter
Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach
Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama +2
This paper presents a deep learning-aided iterative detection algorithm for massive overloaded multiple-input multiple-output (MIMO) systems where the number of transmit antennas $…
Asymptotic Analysis of Spatial Coupling Coding for Compute-and-Forward Relaying
Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
Compute-and-forward (CAF) relaying is effective to increase bandwidth efficiency of wireless two-way relay channels. In a CAF scheme, a relay is designed to decode a linear combina…
Deep Learning-Aided Projected Gradient Detector for Massive Overloaded MIMO Channels
Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama +1
The paper presents a deep learning-aided iterative detection algorithm for massive overloaded MIMO systems. Since the proposed algorithm is based on the projected gradient descent…
Connectivity of Ad Hoc Wireless Networks with Node Faults
Satoshi Takabe, Tadashi Wadayama
Connectivity of wireless sensor networks (WSNs) is a fundamental global property expected to be maintained even though some sensor nodes are at fault. In this paper, we investigate…
Joint Quantizer Optimization based on Neural Quantizer for Sum-Product Decoder
Tadashi Wadayama, Satoshi Takabe
A low-precision analog-to-digital converter (ADC) is required to implement a frontend device of wideband digital communication systems in order to reduce its power consumption. The…
Large-deviation Properties of Linear-programming Computational Hardness of the Vertex Cover Problem
Satoshi Takabe, Koji Hukushima, Alexander K. Hartmann
The distribution of the computational cost of linear-programming (LP) relaxation for vertex cover problems on Erdos-Renyi random graphs is evaluated by using the rare-event samplin…