• Login
    View Item 
    •   Home
    • Research
    • Conference Papers
    • View Item
    •   Home
    • Research
    • Conference Papers
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    In Silico Design of Deep Space Optical Links

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Conference Paper
    Authors
    Lee, Carlyn-Ann
    Xie, Hua
    Lee, Charles H.
    Lyakhov, Dmitry cc
    Michels, Dominik L.
    KAUST Department
    Visual Computing Center (VCC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Date
    2020-11-02
    Online Publication Date
    2020-11-02
    Print Publication Date
    2020-11-16
    Permanent link to this record
    http://hdl.handle.net/10754/666010
    
    Metadata
    Show full item record
    Abstract
    As deep space links migrate toward higher frequency bands like Ka and optical, thorough trade-space exploration becomes increasingly valuable for designing reliable and efficient communications systems. In this contribution, we leveraged high-performance, concurrent simulations when the run-time complexity of simulation software overwhelms capabilities of ordinary desktop machines. The first part of this manuscript describes how to run error correcting code simulations concurrently on a high-performance supercomputer. The second part of this study describes a framework to produce azimuth and elevation terrain masks from imagery of the Lunar South Pole.
    Citation
    Lee, C.-A., Xie, H., Lee, C. H., Lyakhov, D., & Michels, D. (2020). In Silico Design of Deep Space Optical Links. ASCEND 2020. doi:10.2514/6.2020-4006
    Sponsors
    C. Lee thanks Mohsin Shaikh of King Abdullah University of Science and Technology for assistance with setup and troubleshooting applications on Shaheen and Harvey Newman of California Institute of Technology for insightful discussions about super computing applications. The research described in this paper was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA). This research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.
    Publisher
    American Institute of Aeronautics and Astronautics (AIAA)
    Conference/Event name
    Communication Systems and Technologies for Deep Space Missions
    ISBN
    9781624106088
    DOI
    10.2514/6.2020-4006
    Additional Links
    https://arc.aiaa.org/doi/10.2514/6.2020-4006
    ae974a485f413a2113503eed53cd6c53
    10.2514/6.2020-4006
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

     
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.