| Presentation | 2022-05-26 [Tutorial Lecture] Distributed Lossy Multi-terminal Communications over Fading MAC and Decision Making (This tutorial is funded by IoTAD-CEO project under CominLab) Tad Matsumoto, Elsa Dupraz, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Network Information Theory is an extension of Shannon’s Information Theory to Networks. We believe that the key to the successful development of generation-less mobile wireless communication systems concepts should be to best-utilize the latest results of Network Information Theory in the most suitable forms, so as to satisfy network objectives and requirements in efficient way. As such, identifying the theoretical performance limits of such systems is of most crucial importance. This Tutorial follows the previous two tutorial lectures that the first presenter has provided previously in the IEICE RCS meetings and is the last talk of the lecturer series provide along with the concept described above. It has been shown in the two previous tutorial lectures that the theoretical basis for analyzing the performance of End-to-End Lossless wireless cooperative communication networks is Lossless Distributed Multiterminal Source Coding in Network Information Theory; The distributed multi-terminal assumption is required because cooperative networks are assumed to have massive wireless devices. The primary objectives of this Tutorial Lecture are (1) to provide participants with the concept for the elimination of the End-to-End (E2E) Lossless requirement being reasonable, and (2) to provide mathematical framework for deriving outage probability of the E2E Lossy wireless network in fading mobile communication environments accommodating distributed multiple sources. Especially, this talk focuses on how the Lossy Distributed Multi-terminal Source Coding Theory and its theoretical framework should be modified so that the wireless communications community can get the maximum benefit from this theoretical framework. The use cases of this framework include wireless cooperative communications networks having massive wireless devices, such as wireless mesh networks, relay communications, sensor networks, Internet-of-Things (IoT) and Vehicle-to-Things (V2X) networks. This talk includes theoretical limit analysis, algorithm design, and verification by simulations. The reason for the pursuance towards the goals described above is that in IoT, V2X, and Edge computing, the lossless recovery of information observed by the sensing devices should not necessarily be End-to-End Lossless. In other words, the purpose of IoT network is NOT the full recovery of observations, but to make correct decisions based on the observations made by massive sensing devices which are assumed to be distributed around the target, and hence the corrected information is correlated. By utilizing the source correlation knowledge at the receiver, Ultra Reliable Low Latency Communication (URLLC) is possible, even though packet-wise transmission is Lossy. Recent results on this topic are introduced, which covers performance analysis of Lossy Multi-source transmission over fading Multiple Access Channels (MACs) , such as Wyner Ziv systems over fading MAC. At the final stage of this Tutorial, how the decision-making process based on the Loss observation and transmission are connected to the distributed hypothesis testing (DHT) is introduced. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Lossy Wireless Communications / Distributed Multi-terminal Source Coding / Multiple Access Channels / IoT / V2X / Decision Making |
| Paper # | RCS2022-18 |
| Date of Issue | 2022-05-19 (RCS) |
| Conference Information | |
| Committee | IN / RCS |
|---|---|
| Conference Date | 2022/5/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Keio University (Hiyoshi Campus) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Ad-Hoc/Sensor Networks/MANET, Mobile Networks, M2M/IoT Communications, Wi-Fi, IEEE802.15(ZigBee) and others |
| Chair | Kenji Ishida(Hiroshima City Univ.) / Eiji Okamoto(Nagoya Inst. of Tech.) |
| Vice Chair | Kunio Hato(Internet Multifeed) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) |
| Secretary | Kunio Hato(NTT) / Toshihiko Nishimura(Univ. of Nagasaki) / Tomoya Tandai(Nagaoka Univ. of Tech.) / Fumihide Kojima(KDDI Research) |
| Assistant | / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / Technical Committee on Radio Communication Systems |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Tutorial Lecture] Distributed Lossy Multi-terminal Communications over Fading MAC and Decision Making (This tutorial is funded by IoTAD-CEO project under CominLab) |
| Sub Title (in English) | |
| Keyword(1) | Lossy Wireless Communications |
| Keyword(2) | Distributed Multi-terminal Source Coding |
| Keyword(3) | Multiple Access Channels |
| Keyword(4) | IoT |
| Keyword(5) | V2X |
| Keyword(6) | Decision Making |
| 1st Author's Name | Tad Matsumoto |
| 1st Author's Affiliation | IMT-Atlantique, Brest, France, and Professor Emeritus, JAIST(IMT-Atlantique, Brest, France, and Professor Emeritus, JAIST) |
| 2nd Author's Name | Elsa Dupraz |
| 2nd Author's Affiliation | IMT-Atlantique, Brest, France(IMT-Atlantique, Brest, France) |
| Date | 2022-05-26 |
| Paper # | RCS2022-18 |
| Volume (vol) | vol.122 |
| Number (no) | RCS-49 |
| Page | pp.pp.26-27(RCS), |
| #Pages | 2 |
| Date of Issue | 2022-05-19 (RCS) |