講演抄録/キーワード |
講演名 |
2018-11-21 13:40
[チュートリアル講演]From Turbo Equalization to Lossy Forwarding: Our Footprint ○Tadashi Matsumoto・Meng Cheng・Shen Qian(JAIST) RCS2018-202 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
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. |
キーワード |
(和) |
ターボ等化 / MIMO / センサーネットワーク / 相関のある情報源 / 分散ターボ符号 / 速度歪関数 / 協調通信 / |
(英) |
Turbo Equalization / MIMO / Sensor Network / Correlated Sources / Distributed Turbo Code / Rate Distortion Function / Cooperative Communication / |
文献情報 |
信学技報, vol. 118, no. 311, RCS2018-202, pp. 141-141, 2018年11月. |
資料番号 |
RCS2018-202 |
発行日 |
2018-11-13 (RCS) |
ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
RCS2018-202 |
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