Paper Abstract and Keywords |
Presentation |
2016-11-25 10:50
Performance Evaluation of Nonlinear Precoding based on Indoor Experimental Channel Data at 44GHz band for 5G Ultra High Capacity Massive MIMO Shigeru Uchida, Kenji Nakagawa, Akinori Taira, Hiroshi Nishimoto, Hiroki Iura, Akihiro Okazaki, Atsushi Okamura (Mitsubishi Electric Corporation) RCS2016-203 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, mobile communication systems for the fifth generation (5G) in higher frequency bands have been extensively studied. A Massive-MIMO system is one of the promising technologies to improve spectral efficiency.
Authors have already studied ``nonlinear block bi-diagonalization(NL-BBD) precoding'' for 5G MU-MIMO precoding and reported the performance of NL-BBD precoding using APAA-MIMO, that consists of analog beamformer and digital MIMO processing.
In this paper, we evaluate the APAA-MIMO performance with NL-BBD precoding by using channel measurement data which was transmitted by 44GHz band APAA and the computer simulation.And we show that NL-BBD has superior perfomance than conventional linear precoding in high density user allocation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
5G / SHF/EHF band / Indoor propagation experiment / MU-MIMO / nonlinear block multi-diagonalization / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 318, RCS2016-203, pp. 69-74, Nov. 2016. |
Paper # |
RCS2016-203 |
Date of Issue |
2016-11-17 (RCS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
RCS2016-203 |
|