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Analog Distributed Source-Channel Coding Using Sinusoids
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7926-5081
2009 (English)In: 2009 6TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS: (ISWCS 2009), NEW YORK: IEEE , 2009, 279-282 p.Conference paper (Refereed)
Abstract [en]

In a wireless sensor network, it is likely that the measurements of the sensors are correlated. Distributed source coding can be used to reduce transmission rate or mitigate the effects of the channel noise in the case of analog transmission. In this paper, we propose a novel scheme for implementing distributed source-channel coding based on analog mappings. We assume that an analog source is to be transmitted to a receiver that has access to correlated side information, as in the Wyner-Ziv problem. From the Cramer-Rao lower bound, we observe general properties of analog distributed source-channel mappings. It is especially clear how the stretch factor influences the performance. From this observation we propose two different mappings based on sinusoidal waveforms. The proposed transmission scheme is numerically evaluated and shown to perform well, particularly in the low-SNR regime. Furthermore, it requires no encoding or decoding delay, making it suitable for delay-critical applications in wireless sensor networks.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2009. 279-282 p.
National Category
Computer Science
URN: urn:nbn:se:kth:diva-28943DOI: 10.1109/ISWCS.2009.5285266ISI: 000274636700057ScopusID: 2-s2.0-71449121148ISBN: 978-1-4244-3583-8OAI: diva2:399229
6th IEEE International Symposium on Wireless Communication Systems (ISWCS 09) Siena, ITALY, SEP 07-10, 2009
QC 20110221Available from: 2011-02-21 Created: 2011-01-25 Last updated: 2011-05-12Bibliographically approved
In thesis
1. Low-delay sensing and transmission
Open this publication in new window or tab >>Low-delay sensing and transmission
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
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.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2011. xii, 30 p.
Trita-EE, ISSN 1653-5146 ; 2011:039
Cooperative communication, wireless sensor networks, low-delay transmission, joint source-channel coding, distributed source coding, estimation, quantization
National Category
urn:nbn:se:kth:diva-33404 (URN)978-91-7415-983-7 (ISBN)
Public defence
2011-05-26, Hörsal F3, Lindstedtsvägen 26, KTH, Stockholm, 13:15 (English)
ICT - The Next Generation
The author changed name from Johannes Karlsson to Johannes Kron in January 2011. QC 20110512Available from: 2011-05-12 Created: 2011-05-05 Last updated: 2011-10-30Bibliographically approved

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