H
Hiroyuki Kawai
Researcher at NTT DoCoMo
Publications - 26
Citations - 797
Hiroyuki Kawai is an academic researcher from NTT DoCoMo. The author has contributed to research in topics: MIMO & Orthogonal frequency-division multiplexing. The author has an hindex of 15, co-authored 26 publications receiving 793 citations. Previous affiliations of Hiroyuki Kawai include Agency for Science, Technology and Research.
Papers
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Proceedings ArticleDOI
Adaptive selection of surviving symbol replica candidates based on maximum reliability in QRM-MLD for OFCDM MIMO multiplexing
TL;DR: Simulation results show that the computational complexity of the proposed adaptive selection algorithm from the viewpoint of the number of real multiplications is reduced to approximately 1/6 and 1/1900, respectively, compared to that of the original QRM-MLD.
Journal ArticleDOI
Adaptive control of surviving symbol replica candidates in QRM-MLD for OFDM MIMO multiplexing
TL;DR: This paper proposes adaptive control of the number of surviving symbol replica candidates, Sm, based on the minimum accumulated branch metric of each stage in maximum-likelihood detection employing QR decomposition and the M-algorithm in orthogonal frequency-division multiplexing with multiple-input-multiple-output (MIMO)multiplexing.
Proceedings ArticleDOI
Likelihood function for QRM-MLD suitable for soft-decision turbo decoding and its performance for OFCDM MIMO multiplexing in multipath fading channel
Kenichi Higuchi,Hiroyuki Kawai,Noriyuki Maeda,Mamoru Sawahashi,T. Itoh,Yoshikazu Kakura,Akihisa Ushirokawa,Hiroyuki Seki +7 more
TL;DR: Simulation results show that by using the proposed likelihood function generation scheme for soft-decision turbo decoding following QRM-MLD in 4-by-4 MIMO multiplexing, the required average received signal energy per bit-to-noise power spectrum density ratio is significantly reduced.
Journal ArticleDOI
Experiments on real-time 1-Gb/s packet transmission using MLD-based signal detection in MIMO-OFDM broadband radio access
TL;DR: Through experiments, it is demonstrated that the QRM-MLD employing ASESS is very beneficial in reducing the influence of hardware implementation loss, as well as in decreasing the required received Eb/N0.
Proceedings ArticleDOI
Pseudo-Inverse MMSE Based QRD-M Algorithm for MIMO OFDM
TL;DR: The proposed algorithm can effectively mitigate the detrimental effect of MIMO channel ill-conditions on the bit error rate (BER) performance and the number of retained branches can be reduced to half of the original QRD-M algorithm in Kyeong Jin Kim and R.A. Iltis (2002).