| Presentation | 2018-11-21 [Tutorial Lecture] From Turbo Equalization to Lossy Forwarding: Our Footprint Tadashi Matsumoto, Meng Cheng, Shen Qian, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Turbo Equalization / MIMO / Sensor Network / Correlated Sources / Distributed Turbo Code / Rate Distortion Function / Cooperative Communication |
| Paper # | RCS2018-202 |
| Date of Issue | 2018-11-13 (RCS) |
| Conference Information | |
| Committee | RCS / AP |
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| Conference Date | 2018/11/20(3days) |
| 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. |
| Chair | Tomoaki Otsuki(Keio Univ.) / Jiro Hirokawa(Tokyo Tech.) |
| Vice Chair | Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Ryo Yamaguchi(SoftBank) |
| Secretary | Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(NTT) / Fumiaki Maehara(Saitama Univ.) / Ryo Yamaguchi(Mitsubishi Electric) |
| Assistant | Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Michitaka Ameya(AIST) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Antennas and Propagation |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Tutorial Lecture] 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 |
| 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) |
| Date | 2018-11-21 |
| Paper # | RCS2018-202 |
| Volume (vol) | vol.118 |
| Number (no) | RCS-311 |
| Page | pp.pp.141-141(RCS), |
| #Pages | 1 |
| Date of Issue | 2018-11-13 (RCS) |