26 citations · 97 across the 14 of their papers we have counts for
14 papers
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…
Multiuser Detection by MAP Estimation with Sum-of-Absolute-Values Relaxation
Hampei Sasahara, Kazunori Hayashi, Masaaki Nagahara
In this article, we consider multiuser detection that copes with multiple access interference caused in star-topology machine-to-machine (M2M) communications. We assume that the tr…
Overlap Frequency Domain Equalization for Faster-than-Nyquist Signaling
Hiroyuki Fukumoto, Kazunori Hayashi
This letter proposes the Faster-than-Nyquist signaling (FTNS) using overlap frequency domain equalization (FDE), which compensates the inter-symbol interference (ISI) due to band l…
Symbol Detection for Frame-Based Faster-than-Nyquist Signaling via Sum-of-Absolute-Values Optimization
Hampei Sasahara, Kazunori Hayashi, Masaaki Nagahara
In this letter, we propose a new symbol detection method for faster-than-Nyquist signaling (FTNS) systems. Based on frame theory, we formulate a symbol detection problem as a under…
Digital Cancelation of Self-Interference for Single-Frequency Full-Duplex Relay Stations via Sampled-Data Control
Hampei Sasahara, Masaaki Nagahara, Kazunori Hayashi +1
In this article, we propose sampled-data design of digital filters that cancel the continuous-time effect of coupling waves in a single-frequency full-duplex relay station. In this…
Sampled-data Optimization for Self-interference Suppression in Baseband Signal Subspaces
Hampei Sasahara, Masaaki Nagahara, Kazunori Hayashi +1
In this article, we propose a design method of selfinterference cancelers for wireless relay stations taking account of the baseband signal subspace. The problem is first formulate…
Communication Performance Analysis of Sampled-Data H-infinity Optimal Coupling Wave Canceler
Hampei Sasahara, Masaaki Nagahara, Kazunori Hayashi +1
In this manuscript, we propose a design method of digital filters which cancel coupling waves generated in single-frequency full-duplex wireless relay stations by using the sampled…
Loop-Back Interference Suppression for OFDM Signals via Sampled-Data Control
Hampei Sasahara, Masaaki Nagahara, Kazunori Hayashi +1
In this article, we consider the problem of loop-back interference suppression for orthogonal frequency division multiplexing (OFDM) signals in amplify-and-forward single-frequency…
Sampled-Data H-infinity Design of Coupling Wave Cancelers in Single-Frequency Full-Duplex Relay Stations
Masaaki Nagahara, Hampei Sasahara, Kazunori Hayashi +1
In this article, we propose sampled-data H-infinity design of digital filters that cancel the continuous-time effect of coupling waves in a single-frequency full-duplex relay stati…
Sparse Command Generator for Remote Control
Masaaki Nagahara, Daniel E. Quevedo, Jan Ostergaard +2
In this article, we consider remote-controlled systems, where the command generator and the controlled object are connected with a bandwidth-limited communication link. In the remo…
Compressive Sampling for Networked Feedback Control
Masaaki Nagahara, Daniel E. Quevedo, Takahiro Matsuda +1
We investigate the use of compressive sampling for networked feedback control systems. The method proposed serves to compress the control vectors which are transmitted through rate…
Compressive Sampling for Remote Control Systems
Masaaki Nagahara, Takahiro Matsuda, Kazunori Hayashi
In remote control, efficient compression or representation of control signals is essential to send them through rate-limited channels. For this purpose, we propose an approach of s…
Rational Maps and Maximum Likelihood Decodings
Kazunori Hayashi, Yasuaki Hiraoka
This paper studies maximum likelihood(ML) decoding in error-correcting codes as rational maps and proposes an approximate ML decoding rule by using a Taylor expansion. The point fo…
Capacity and Modulations with Peak Power Constraint
Shiro Ikeda, Kazunori Hayashi, Toshiyuki Tanaka
A practical communication channel often suffers from constraints on input other than the average power, such as the peak power constraint. In order to compare achievable rates with…