Search Results for author: Masayuki Imanishi

Found 3 papers, 2 papers with code

Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach

1 code implementation25 Dec 2018 Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama, Ryo Hayakawa, Kazunori Hayashi

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 $n$ is larger than that of receive antennas $m$.

Deep Learning-Aided Projected Gradient Detector for Massive Overloaded MIMO Channels

no code implementations28 Jun 2018 Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama, Kazunori Hayashi

The paper presents a deep learning-aided iterative detection algorithm for massive overloaded MIMO systems.

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