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Paper Abstract and Keywords
Presentation 2018-11-21 13:40
[Tutorial Lecture] From Turbo Equalization to Lossy Forwarding: Our Footprint
Tadashi Matsumoto, Meng Cheng, Shen Qian (JAIST) RCS2018-202
Abstract (in Japanese) (See Japanese page) 
(in English) A goal of this talk is to provide audience with the knowledge about the relationship between turbo equalization and the distributed multi-terminal source coding for . To achieve this goal, this lecture is started by the re-enforcement of understanding of turbo principle, especially, frequency-domain soft cancellation minimum mean square error (FD SC-MMSE) based multiple-input multiple-output (MIMO) turbo equalization (This part is provided in Lecture-1). This talk uses a lot of multi-dimensional extrinsic information transfer (EXIT) analysis to reveal the convergence properties of the FD SC-MMSE MIMO equalization, and identifies the optimal, close capacity achieving structure. It is shown that even with very simple serially concatenated convolution code with the component codes being very simple memory one codes can achieve near-capacity performance. Furthermore, the inner code, which is a very simple memory one recursive code, can eliminate the error floor due to the intersection of the EXIT curves, resulting in very sharp shape of the turbo cliff. This lecture also makes comparison of the shape of the EXIT curves with recursive and non-recursive convolutional codes.

At the final part of this lecture, we intentional “adding” of binary errors randomly between the MIMO antennas, and analyses the impacts of the “artificial errors”. It is shown that if the FD SC MMSE equalizer can utilize the error probability to modify the log likelihood ratio (LLR) in the vertical iteration, we can eliminate the effect of the “artificial errors”. The “artificial error” probability can be estimated only at the decoder side (no side information needed).

Obviously the “artificial errors” inserted in the connections between the antennas correspond to the “intra-link” errors in distributed lossy forwarding cooperative networks. Therefore, the last part of this talk is a preparation of the Invited Talk provided in May, 2018 at the RCS meeting at KEIO University, "Lossy Forwarding Relaying over MAC Channels", even though the order has been reversed. The expected audience is strongly recommended to review the copies of the slides provided in the May meeting.
Keyword (in Japanese) (See Japanese page) 
(in English) Turbo Equalization / MIMO / Sensor Network / Correlated Sources / Distributed Turbo Code / Rate Distortion Function / Cooperative Communication /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 311, RCS2018-202, pp. 141-141, Nov. 2018.
Paper # RCS2018-202 
Date of Issue 2018-11-13 (RCS) 
ISSN 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 RCS2018-202

Conference Information
Committee RCS AP  
Conference Date 2018-11-20 - 2018-11-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Adaptive Antenna, Equalization, Interference Canceler, MIMO, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2018-11-RCS-AP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) From Turbo Equalization to Lossy Forwarding: Our Footprint 
Sub Title (in English)  
Keyword(1) Turbo Equalization  
Keyword(2) MIMO  
Keyword(3) Sensor Network  
Keyword(4) Correlated Sources  
Keyword(5) Distributed Turbo Code  
Keyword(6) Rate Distortion Function  
Keyword(7) Cooperative Communication  
Keyword(8)  
1st Author's Name Tadashi Matsumoto  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Meng Cheng  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
3rd Author's Name Shen Qian  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-1 
Date Time 2018-11-21 13:40:00 
Presentation Time 50 minutes 
Registration for RCS 
Paper # RCS2018-202 
Volume (vol) vol.118 
Number (no) no.311 
Page p.141 
#Pages 1 
Date of Issue 2018-11-13 (RCS) 

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