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講演抄録/キーワード
講演名 2022-05-26 15:45
[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 MatsumotoIMT-Atlantique, Brest, France, and Professor Emeritus, JAIST)・Elsa DuprazIMT-Atlantique, Brest, FranceRCS2022-18
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. 
(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 / /  
(英) Lossy Wireless Communications / Distributed Multi-terminal Source Coding / Multiple Access Channels / IoT / V2X / Decision Making / /  
文献情報 信学技報, vol. 122, no. 49, RCS2022-18, pp. 26-27, 2022年5月.
資料番号 RCS2022-18 
発行日 2022-05-19 (RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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 RCS2022-18

研究会情報
研究会 IN RCS NV  
開催期間 2022-05-26 - 2022-05-27 
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 
講演論文情報の詳細
申込み研究会 RCS 
会議コード 2022-05-IN-RCS-NV 
本文の言語 日本語 
タイトル(和) 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) 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(英)  
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  
キーワード(7)(和/英) /  
キーワード(8)(和/英) /  
第1著者 氏名(和/英/ヨミ) Tad Matsumoto / 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/ヨミ) Elsa Dupraz / 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)
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講演者
発表日時 2022-05-26 15:45:00 
発表時間 90 
申込先研究会 RCS 
資料番号 RCS2022-18 
巻番号(vol) 122 
号番号(no) no.49 
ページ範囲 pp.26-27 
ページ数
発行日 2022-05-19 (RCS) 


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