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    CAPACITY ALLOCATION FOR TELEMETRY LINKS WITH VARIABLE TRANSMISSION RATES

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    ITC_2016_16-15-01.pdf
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    Description:
    Conference Proceedings
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    Author
    Fecko, Mariusz
    Chang, Kirk
    Kim, Heechang
    Cichocki, Andrzej
    Wong, Larry
    O'Connell, Ray
    Radke, Mark
    Young, Tom
    Grace, Thomas
    Affiliation
    Vencore Labs
    RoboComAI
    Tybrin Corp.
    USAF AFMC
    NAVAIR
    Issue Date
    2016-11
    
    Metadata
    Show full item record
    Rights
    Copyright © held by the author; distribution rights International Foundation for Telemetering
    Collection Information
    Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
    Publisher
    International Foundation for Telemetering
    Journal
    International Telemetering Conference Proceedings
    Abstract
    Current IP-based telemetry systems such as iNET perform capacity allocation among multiple radios under the assumption of uniform link rates. This assumption breaks down when adaptive modulation is deployed to vary link rates in response to channel degradation. In particular, many modern radios can increase their transmission rate through adaptive coding. To take advantage of these increased rates, we designed several iNET Link Manager (LM) bandwidth allocation algorithms for the future iNET that implements adaptive coding techniques. These new LM algorithms include both weight-based schemes in which link bandwidth is allocated based on the priority assigned to the links and queues, as well as a greedy algorithm in which link bandwidth is allocated strictly based on link rates. We evaluated the effectiveness of these algorithms using both analytical analysis and test-bed experimentation. Through a rich set of test-cases, we conclude that a weight-based algorithm in which link priority is assigned using the product of link weight and link data rate has the best performance, and hence can be considered for the future iNET LM.
    Sponsors
    International Foundation for Telemetering
    ISSN
    0884-5123
    0074-9079
    Additional Links
    http://www.telemetry.org/
    Collections
    International Telemetering Conference Proceedings, Volume 52 (2016)

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