6 citations · 9 across the 3 of their papers we have counts for
5 papers
Physical Layer Security for Integrated Sensing and Communication: A Survey
Toshiki Matsumine, Hideki Ochiai, Junji Shikata
Integrated sensing and communication (ISAC) has become a crucial technology in the development of next-generation wireless communication systems. The integration of communication a…
Recent Advances in Deep Learning for Channel Coding: A Survey
Toshiki Matsumine, Hideki Ochiai
This paper provides a comprehensive survey on recent advances in deep learning (DL) techniques for the channel coding problems. Inspired by the recent successes of DL in a variety…
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
This paper studies a new application of deep learning (DL) for optimizing constellations in two-way relaying with physical-layer network coding (PNC), where deep neural network (DN…
Polar Coding with Chemical Reaction Networks
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
In this paper, we propose a new polar coding scheme with molecular programming, which is capable of highly parallel implementation at a nano-scale without a need of electrical powe…
Channel Decoding with Quantum Approximate Optimization Algorithm
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
Motivated by the recent advancement of quantum processors, we investigate quantum approximate optimization algorithm (QAOA) to employ quasi-maximum-likelihood (ML) decoding of clas…