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Paper Abstract and Keywords
Presentation 2022-05-26 15:45
[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 (IMT-Atlantique, Brest, France/Professor Emeritus, JAIST), Elsa Dupraz (IMT-Atlantique, Brest, France) RCS2022-18
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Lossy Wireless Communications / Distributed Multi-terminal Source Coding / Multiple Access Channels / IoT / V2X / Decision Making / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 49, RCS2022-18, pp. 26-27, May 2022.
Paper # RCS2022-18 
Date of Issue 2022-05-19 (RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF RCS2022-18

Conference Information
Committee IN RCS NV  
Conference Date 2022-05-26 - 2022-05-27 
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 
Paper Information
Registration To RCS 
Conference Code 2022-05-IN-RCS-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) 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  
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Keyword(8)  
1st Author's Name Tad Matsumoto  
1st Author's Affiliation IMT-Atlantique, Brest, France, and Professor Emeritus, JAIST (IMT-Atlantique, Brest, France/Professor Emeritus, JAIST)
2nd Author's Name Elsa Dupraz  
2nd Author's Affiliation IMT-Atlantique, Brest, France (IMT-Atlantique, Brest, France)
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Speaker Author-1 
Date Time 2022-05-26 15:45:00 
Presentation Time 90 minutes 
Registration for RCS 
Paper # RCS2022-18 
Volume (vol) vol.122 
Number (no) no.49 
Page pp.26-27 
#Pages
Date of Issue 2022-05-19 (RCS) 


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