Spatially-Consistent Human Body Blockage Modeling: A State Generation Procedure

Margarita Gapeyenko, Andrey Samuylov, Mikhail Gerasimenko, Dmitri Moltchanov, Sarabjot Singh, Mustafa Akdeniz, Ehsan Aryafar, Sergey Andreev, Nageen Himayat, Yevgeni Koucheryavy

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)
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Spatial correlation has been recognized by 3GPP as one of the key elements in millimeter-wave (mmWave) channel modeling. Correlated channel behavior is induced by macro objects, such as buildings, as well as by micro objects, including humans around the mmWave receivers. The 3GPP's three-dimensional (3D) spatially consistent channel model designed to capture these phenomena assumes a-priori knowledge of the correlation distance between the receivers. In this paper, we propose a novel spatially-consistent human body blockage state generation procedure, which extends the standardized 3D channel model by 3GPP to capture the correlation between the line-of-sight (LoS) links and the reflected cluster states affected by human body blockage. The proposed model is based on analytical expressions for the conditional link state probability, thus permitting the parametrization of the spatial field of receivers. It also does not require any a-priori information on the correlation distance as the latter is identified explicitly based on the environmental parameters. We compare the results for the proposed model with those obtained with the uncorrelated blockage model and conclude that in many special cases correlation manifests itself in quantitatively different propagation conditions experienced at the nearby receivers.
Original languageEnglish
Pages (from-to)2221-2233
Number of pages13
JournalIEEE Transactions on Mobile Computing
Issue number9
Early online date23 May 2019
Publication statusPublished - 2020
Publication typeA1 Journal article-refereed


  • Computational modeling
  • Receivers
  • Mobile computing
  • Correlation
  • Transmitters
  • 3GPP
  • Analytical models

Publication forum classification

  • Publication forum level 3


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