9 citations · 25 across the 13 of their papers we have counts for
17 papers · 1 filter
Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection
Satoshi Takabe
Multiple-input multiple-output (MIMO) is a key ingredient of next-generation wireless communications. Recently, various MIMO signal detectors based on deep learning techniques and…
Proximal Decoding for LDPC-coded Massive MIMO Channels
Tadashi Wadayama, Satoshi Takabe
We propose a novel optimization-based decoding algorithm for LDPC-coded massive MIMO channels. The proposed decoding algorithm is based on a proximal gradient method for solving an…
Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive Over-Relaxation
Tadashi Wadayama, Satoshi Takabe
A distributed algorithm for least mean square (LMS) can be used in distributed signal estimation and in distributed training for multivariate regression models. The convergence spe…
Deep Unfolded Multicast Beamforming
Satoshi Takabe, Tadashi Wadayama
Multicast beamforming is a promising technique for multicast communication. Providing an efficient and powerful beamforming design algorithm is a crucial issue because multicast be…
Chebyshev Inertial Landweber Algorithm for Linear Inverse Problems
Tadashi Wadayama, Satoshi Takabe
The Landweber algorithm defined on complex/real Hilbert spaces is a gradient descent algorithm for linear inverse problems. Our contribution is to present a novel method for accele…
Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access
Satoshi Takabe, Yuki Yamauchi, Tadashi Wadayama
Sparsely spread code division multiple access (SCDMA) is a promising non-orthogonal multiple access technique for future wireless communications. In this paper, we propose a novel…