| 講演名 | 2022-05-26 ［チュートリアル講演］Distributed Lossy Multi-terminal Communications over Fading MAC and Decision Making (This tutorial is funded by IoTAD-CEO project under CominLab) Tad Matsumoto(IMT-Atlantique, Brest, France, and Professor Emeritus, JAIST), Elsa Dupraz(IMT-Atlantique, Brest, France), |
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| 抄録(和) | 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. |
| 抄録(英) | 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. |
| キーワード(和) | Lossy Wireless Communications / Distributed Multi-terminal Source Coding / Multiple Access Channels / IoT / V2X / Decision Making |
| キーワード(英) | Lossy Wireless Communications / Distributed Multi-terminal Source Coding / Multiple Access Channels / IoT / V2X / Decision Making |
| 資料番号 | RCS2022-18 |
| 発行日 | 2022-05-19 (RCS) |
| 研究会情報 | |
| 研究会 | IN / RCS |
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| 開催期間 | 2022/5/26(から2日開催) |
| 開催地（和） | 慶應大学 日吉キャンパス |
| 開催地（英） | Keio University (Hiyoshi Campus) |
| テーマ（和） | アドホック・センサネットワーク・MANET，モバイルネットワーク，M2M・IoT通信制御，無線LAN(Wi-Fi)，IEEE802.15(ZigBee)及び一般 |
| テーマ（英） | Ad-Hoc/Sensor Networks/MANET, Mobile Networks, M2M/IoT Communications, Wi-Fi, IEEE802.15(ZigBee) and others |
| 委員長氏名（和） | 石田 賢治(広島市大) / 岡本 英二(名工大) |
| 委員長氏名（英） | Kenji Ishida(Hiroshima City Univ.) / Eiji Okamoto(Nagoya Inst. of Tech.) |
| 副委員長氏名（和） | 波戸 邦夫(インターネットマルチフィード) / 西村 寿彦(北大) / 旦代 智哉(東芝) / 児島 史秀(NICT) |
| 副委員長氏名（英） | Kunio Hato(Internet Multifeed) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) |
| 幹事氏名（和） | 谷口 展郎(NTT) / 星野 文学(長崎県立大) / 渡部 康平(長岡技科大) / 城 哲(KDDI総合研究所) / 村岡 一志(NEC) / 山本 哲矢(パナソニック) |
| 幹事氏名（英） | Noburo Taniguchi(NTT) / Fumitaka Hoshino(Univ. of Nagasaki) / Kouhei Watabei(Nagaoka Univ. of Tech.) / Tetsu Jyo(KDDI Research) / Kazushi Muraoka(NEC) / Tetsuya Yamamoto(Panasonic) |
| 幹事補佐氏名（和） | / 安達 宏一(電通大) / 中村 理(シャープ) / 酒井 学(三菱電機) / 岩渕 匡史(NTT) / 奥山 達樹(NTTドコモ) |
| 幹事補佐氏名（英） | / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) |
| 講演論文情報詳細 | |
| 申込み研究会 | Technical Committee on Information Networks / Technical Committee on Radio Communication Systems |
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| 本文の言語 | JPN |
| タイトル（和） | ［チュートリアル講演］Distributed Lossy Multi-terminal Communications over Fading MAC and Decision Making (This tutorial is funded by IoTAD-CEO project under CominLab) |
| サブタイトル（和） | |
| タイトル（英） | [Tutorial Lecture] Distributed Lossy Multi-terminal Communications over Fading MAC and Decision Making (This tutorial is funded by IoTAD-CEO project under CominLab) |
| サブタイトル（和） | |
| キーワード(1)（和/英） | Lossy Wireless Communications / Lossy Wireless Communications |
| キーワード(2)（和/英） | Distributed Multi-terminal Source Coding / Distributed Multi-terminal Source Coding |
| キーワード(3)（和/英） | Multiple Access Channels / Multiple Access Channels |
| キーワード(4)（和/英） | IoT / IoT |
| キーワード(5)（和/英） | V2X / V2X |
| キーワード(6)（和/英） | Decision Making / Decision Making |
| 第 1 著者 氏名（和/英） | Tad Matsumoto / Tad Matsumoto |
| 第 1 著者 所属（和/英） | IMT-Atlantique, Brest, France, and Professor Emeritus, JAIST(略称：IMT-Atlantique, Brest, France, and Professor Emeritus, JAIST) IMT-Atlantique, Brest, France, and Professor Emeritus, JAIST(略称：IMT-Atlantique, Brest, France, and Professor Emeritus, JAIST) |
| 第 2 著者 氏名（和/英） | Elsa Dupraz / Elsa Dupraz |
| 第 2 著者 所属（和/英） | IMT-Atlantique, Brest, France(略称：IMT-Atlantique, Brest, France) IMT-Atlantique, Brest, France(略称：IMT-Atlantique, Brest, France) |
| 発表年月日 | 2022-05-26 |
| 資料番号 | RCS2022-18 |
| 巻番号（vol） | vol.122 |
| 号番号（no） | RCS-49 |
| ページ範囲 | pp.26-27(RCS), |
| ページ数 | 2 |
| 発行日 | 2022-05-19 (RCS) |