Spatially-Consistent Human Body Blockage Modeling: A State Generation Procedure
Gapeyenko, Margarita; Samuylov, Andrey; Gerasimenko, Mikhail; Moltchanov, Dmitri; Singh, Sarabjot; Akdeniz, Mustafa; Aryafar, Ehsan; Andreev, Sergey; Himayat, Nageen; Koucheryavy, Yevgeni (2020)
Gapeyenko, Margarita
Samuylov, Andrey
Gerasimenko, Mikhail
Moltchanov, Dmitri
Singh, Sarabjot
Akdeniz, Mustafa
Aryafar, Ehsan
Andreev, Sergey
Himayat, Nageen
Koucheryavy, Yevgeni
2020
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202002041810
https://urn.fi/URN:NBN:fi:tuni-202002041810
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [16740]