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Iterative source-channel coding approach to Witsenhausen's counterexample
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsteori. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.
KTH, Skolan för elektro- och systemteknik (EES), Reglerteknik. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsteori. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0002-0036-9049
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsteori. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0002-7926-5081
(Engelska)Ingår i: Automatica, ISSN 0005-1098, E-ISSN 1873-2836Artikel i tidskrift (Övrigt vetenskapligt) Submitted
Nationell ämneskategori
Telekommunikation
Identifikatorer
URN: urn:nbn:se:kth:diva-33402OAI: oai:DiVA.org:kth-33402DiVA, id: diva2:415068
Forskningsfinansiär
EU, FP7, Sjunde ramprogrammet, 223866
Anmärkning
QS 2011 QS 20120327Tillgänglig från: 2011-05-05 Skapad: 2011-05-05 Senast uppdaterad: 2017-12-11Bibliografiskt granskad
Ingår i avhandling
1. Low-delay sensing and transmission
Öppna denna publikation i ny flik eller fönster >>Low-delay sensing and transmission
2011 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

This thesis studies cooperative sensing and transmission in the context ofwireless sensor networks (WSNs). We especially focus on two means of cooperative sensing and transmission, namely, distributed source coding and relaying. We consider systems where the usefulness of the measured data is dependent on how old the data is and we therefore need low-delay transmission schemes. At first sight, the low-delay criterion may seem to be of little relevance, but it is this aspect in particular that distinguishes this thesis from many of the existing communication theoretic results, which often are asymptotic in the block lengths. The thesis is composed of an introductory part, discussing the fundamentals of communication theory and how these are related to the requirements of WSNs, followed by a part where the results of the thesis are reported in Papers A-H.

Papers A-D study different scenarios for distributed source-channel coding. In Paper A, we consider transmission of correlated continuous sources and propose an iterative algorithm for designing simple and energy-efficient sensor nodes. In particular the cases of the binary symmetric channel as well as the additive white Gaussian noise channel are studied. In Paper B, the work is extended to channels with interference and it is shown that also in this case there can be significant power savings by performing a joint optimization of the system.Papers C and D use a more structured approach and propose side-information-aware source-channel coding strategies using lattices and sinusoids.

In Paper E, we apply the methods we have used in joint source-channel coding to the famous Witsenhausen counterexample. By using a relatively simple iterative algorithm, we are able to demonstrate the best numerical performance known to date.

For the case of systems with relays, we study the transmission of a continuous Gaussian source and the transmission of an uniformly distributed discrete source. In both situations, we propose algorithms to design low-delay source-channel and relay mappings. By studying the structure of the optimized source-channel and relay mappings, we provide useful insights into how the optimized systems work. These results are reported in Papers F and G.

In Paper H, we finally consider sum-MSE minimization for the Gaussian multiple-input, multiple-output broadcast channel. By using recently discovered properties of this problem, we derive a closed-form expression for the optimal power allocation in the two-user scenario and propose a conceptually simple and efficient algorithm that handles an arbitrary number of users.

Throughout the thesis we show that there are significant gains if the parts of the system are jointly optimized for the source and channel statistics. All methods that are considered in this thesis yield very low coding and decoding delays. In general, nonlinear mappings outperform linear mappings for problems where there is side-information available. Another contribution of this thesis is visualization of numerically optimized systems that can be used as inspiration when structured low-delay systems are designed.

Ort, förlag, år, upplaga, sidor
Stockholm: KTH Royal Institute of Technology, 2011. s. xii, 30
Serie
Trita-EE, ISSN 1653-5146 ; 2011:039
Nyckelord
Cooperative communication, wireless sensor networks, low-delay transmission, joint source-channel coding, distributed source coding, estimation, quantization
Nationell ämneskategori
Telekommunikation
Identifikatorer
urn:nbn:se:kth:diva-33404 (URN)978-91-7415-983-7 (ISBN)
Disputation
2011-05-26, Hörsal F3, Lindstedtsvägen 26, KTH, Stockholm, 13:15 (Engelska)
Opponent
Handledare
Forskningsfinansiär
ICT - The Next Generation
Anmärkning
The author changed name from Johannes Karlsson to Johannes Kron in January 2011. QC 20110512Tillgänglig från: 2011-05-12 Skapad: 2011-05-05 Senast uppdaterad: 2011-10-30Bibliografiskt granskad

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Oechtering, Tobias J.Skoglund, Mikael

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Kron, JohannesGattami, AtherOechtering, Tobias J.Skoglund, Mikael
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