Accurate Empirical Path Loss Models with Route Classification for mmWave Communications
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Issued Date
2022-01-01
Resource Type
ISSN
16875869
eISSN
16875877
Scopus ID
2-s2.0-85141056230
Journal Title
International Journal of Antennas and Propagation
Volume
2022
Rights Holder(s)
SCOPUS
Bibliographic Citation
International Journal of Antennas and Propagation Vol.2022 (2022)
Suggested Citation
Phaiboon S., Phokharatkul P. Accurate Empirical Path Loss Models with Route Classification for mmWave Communications. International Journal of Antennas and Propagation Vol.2022 (2022). doi:10.1155/2022/2780029 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/87609
Title
Accurate Empirical Path Loss Models with Route Classification for mmWave Communications
Author(s)
Author's Affiliation
Other Contributor(s)
Abstract
This paper presents accurate empirical path loss models with route classification for the high band frequency of 5 G wireless. Propagation path routes are mainly classified into line of sight (LOS) and non-line-of-sight (NLOS). The NLOS routes are classified into 2 separate routes, namely, Hard_NLOS and Soft_NLOS. Their path loss models include free-space loss (Lfs) and multiscreen diffraction loss (Lmsd) together with the reflection from the building blocks. However, these NLOS routes can be combined into a single formula. The path loss models were fitted with measured path loss data at frequencies of 28 GHz and 73 GHz. These models are compared with four 5G empirical models, namely 5GCM, 3GPP, METIS, and mmMAGIC. The results show that the separated route models provide good agreement, especially for the hard routes compared with those models and provide the minimum MAE of 4.45 dB, 4.34 dB, and 6.72 dB for the hard route, soft route, and an all-NLOS route, respectively, for the dual-band frequency.