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Modeling Blockage in High Directional Wireless Systems

  • Evangelos Koutsonas*
  • , Alexandros Apostolos A. Boulogeorgos*
  • , Stylianos E. Trevlakis
  • , Tanweer Ali
  • , Theodoros A. Tsiftis
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    While the wireless word moves towards higher frequency bands, new challenges arises, due to the inherent characteristics of the transmission links, such as high path and penetration losses. Penetration losses causes blockages that in turn can significantly reduce the signal strength at the receiver. Most published contributions consider a binary blockage stage, i.e. either fully blocked or blockage-free links. However, in realistic scenarios, a link can be partially blocked. Motivated by this, in this paper, we present two low-complexity models that are based on tight approximations and accommodates the impact of partial blockage in high-frequency links. To demonstrate the applicability of the derived framework, we present closed-form expressions for the outage probability for the case in which the distance between the center of the receiver plane and the blocker's shadow center follow uniform distribution. Numerical results verify the derived framework and reveal how the transmission parameters affect blockage.

    Original languageEnglish
    Title of host publication2024 IEEE Virtual Conference on Communications, VCC 2024
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798331530099
    DOIs
    Publication statusPublished - 2024
    Event2nd IEEE Virtual Conference on Communications, VCC 2024 - Virtual, Online
    Duration: 03-12-202405-12-2024

    Publication series

    Name2024 IEEE Virtual Conference on Communications, VCC 2024

    Conference

    Conference2nd IEEE Virtual Conference on Communications, VCC 2024
    CityVirtual, Online
    Period03-12-2405-12-24

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Information Systems and Management
    • Safety, Risk, Reliability and Quality
    • Instrumentation

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