Communication Under Strong Asynchronism

A formulation of the problem of asynchronous point-to-point communication is developed. In the system model of interest, the message codeword is transmitted over a channel starting at a randomly chosen time within a prescribed window. The length of the window scales exponentially with the codeword l...

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Main Authors: Wornell, Gregory W., Chandar, Venkat B., Tchamkerten, Aslan
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Online Access:http://hdl.handle.net/1721.1/53722
https://orcid.org/0000-0001-9166-4758
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author Wornell, Gregory W.
Chandar, Venkat B.
Tchamkerten, Aslan
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Wornell, Gregory W.
Chandar, Venkat B.
Tchamkerten, Aslan
author_sort Wornell, Gregory W.
collection MIT
description A formulation of the problem of asynchronous point-to-point communication is developed. In the system model of interest, the message codeword is transmitted over a channel starting at a randomly chosen time within a prescribed window. The length of the window scales exponentially with the codeword length, where the scaling parameter is referred to as the asynchronism exponent. The receiver knows the transmission window, but not the transmission time. Communication rate is defined as the ratio between the message size and the elapsed time between when transmission commences and when the decoder makes a decision. Under this model, several aspects of the achievable tradeoff between the rate of reliable communication and the asynchronism exponent are quantified. First, the use of generalized constant-composition codebooks and sequential decoding is shown to be sufficient for achieving reliable communication under strictly positive asynchronism exponents at all rates less than the capacity of the synchronized channel. Second, the largest asynchronism exponent under which reliable communication is possible, regardless of rate, is characterized. In contrast to traditional communication architectures, there is no separate synchronization phase in the coding scheme. Rather, synchronization and communication are implemented jointly. The results are relevant to a variety of sensor network and other applications in which intermittent communication is involved.
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spelling mit-1721.1/537222022-10-01T14:46:25Z Communication Under Strong Asynchronism Wornell, Gregory W. Chandar, Venkat B. Tchamkerten, Aslan Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Wornell, Gregory W. Wornell, Gregory W. Chandar, Venkat B. A formulation of the problem of asynchronous point-to-point communication is developed. In the system model of interest, the message codeword is transmitted over a channel starting at a randomly chosen time within a prescribed window. The length of the window scales exponentially with the codeword length, where the scaling parameter is referred to as the asynchronism exponent. The receiver knows the transmission window, but not the transmission time. Communication rate is defined as the ratio between the message size and the elapsed time between when transmission commences and when the decoder makes a decision. Under this model, several aspects of the achievable tradeoff between the rate of reliable communication and the asynchronism exponent are quantified. First, the use of generalized constant-composition codebooks and sequential decoding is shown to be sufficient for achieving reliable communication under strictly positive asynchronism exponents at all rates less than the capacity of the synchronized channel. Second, the largest asynchronism exponent under which reliable communication is possible, regardless of rate, is characterized. In contrast to traditional communication architectures, there is no separate synchronization phase in the coding scheme. Rather, synchronization and communication are implemented jointly. The results are relevant to a variety of sensor network and other applications in which intermittent communication is involved. University IR&D Grant from Draper Laboratory National Science Foundation (Grant CCF-0635191) 2010-04-16T17:29:32Z 2010-04-16T17:29:32Z 2009-10 2009-04 Article http://purl.org/eprint/type/JournalArticle 0018-9448 http://hdl.handle.net/1721.1/53722 Tchamkerten, A., V. Chandar, and G.W. Wornell. “Communication Under Strong Asynchronism.” Information Theory, IEEE Transactions on 55.10 (2009): 4508-4528. © 2009 IEEE https://orcid.org/0000-0001-9166-4758 en_US http://dx.doi.org/10.1109/tit.2009.2027484 IEEE Transactions on Information Theory Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE
spellingShingle Wornell, Gregory W.
Chandar, Venkat B.
Tchamkerten, Aslan
Communication Under Strong Asynchronism
title Communication Under Strong Asynchronism
title_full Communication Under Strong Asynchronism
title_fullStr Communication Under Strong Asynchronism
title_full_unstemmed Communication Under Strong Asynchronism
title_short Communication Under Strong Asynchronism
title_sort communication under strong asynchronism
url http://hdl.handle.net/1721.1/53722
https://orcid.org/0000-0001-9166-4758
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