5 citations · 9 across the 3 of their papers we have counts for
3 papers
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 $…
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…
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications
Kees A. Schouhamer Immink, Stan Baggen, Ferdaous Chaabane +31
The 10th Asia-Europe workshop in "Concepts in Information Theory and Communications" AEW10 was held in Boppard, Germany on June 21-23, 2017. It is based on a longstanding cooperati…