Path loss, angular spread and channel sparsity modeling for indoor and outdoor environments at the sub-THz band

Dimitrios G. Selimis; Mar Francis De Guzman; Kyriakos N. Manganaris; Fotis I. Lazarakis; Katsuyuki Haneda; Kostas P. Peppas

doi:10.1016/j.phycom.2024.102453

Path loss, angular spread and channel sparsity modeling for indoor and outdoor environments at the sub-THz band

Dimitrios G. Selimis^*, Mar Francis De Guzman, Kyriakos N. Manganaris, Fotis I. Lazarakis, Katsuyuki Haneda, Kostas P. Peppas

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

In this paper, we present new measurement results to model large-scale path loss, angular spread and channel sparsity at the sub-THz (141–145 GHz) band, for both indoor and outdoor scenarios. Extensive measurement campaigns have been carried out, taking into account both line-of-sight (LoS) and non line-of-sight (NLoS) propagation. For all considered propagation scenarios, omni-directional and directional path loss models have been developed, based on the so-called close-in (CI) free-space reference distance model. A power angular spread analysis is further presented. The sparsity of the wireless channel has also been studied by employing suitable metrics, namely the so-called Gini index (GI), the Ricean K-factor and the root mean square (RMS) delay spread.

Original language	English
Article number	102453
Pages (from-to)	1-12
Number of pages	12
Journal	Physical Communication
Volume	66
DOIs	https://doi.org/10.1016/j.phycom.2024.102453
Publication status	Published - Oct 2024
MoE publication type	A1 Journal article-refereed

Keywords

Channel sparsity
Gini index
Indoor/outdoor environments
Large scale fading
Path loss exponent
Power angular spread
Ricean K-factor
RMS delay spread

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10.1016/j.phycom.2024.102453

https://arxiv.org/abs/2209.11324Licence: CC0

Cite this

@article{c2db093328da401bad1e28c7350d430d,

title = "Path loss, angular spread and channel sparsity modeling for indoor and outdoor environments at the sub-THz band",

abstract = "In this paper, we present new measurement results to model large-scale path loss, angular spread and channel sparsity at the sub-THz (141–145 GHz) band, for both indoor and outdoor scenarios. Extensive measurement campaigns have been carried out, taking into account both line-of-sight (LoS) and non line-of-sight (NLoS) propagation. For all considered propagation scenarios, omni-directional and directional path loss models have been developed, based on the so-called close-in (CI) free-space reference distance model. A power angular spread analysis is further presented. The sparsity of the wireless channel has also been studied by employing suitable metrics, namely the so-called Gini index (GI), the Ricean K-factor and the root mean square (RMS) delay spread.",

keywords = "Channel sparsity, Gini index, Indoor/outdoor environments, Large scale fading, Path loss exponent, Power angular spread, Ricean K-factor, RMS delay spread",

author = "Selimis, {Dimitrios G.} and {De Guzman}, {Mar Francis} and Manganaris, {Kyriakos N.} and Lazarakis, {Fotis I.} and Katsuyuki Haneda and Peppas, {Kostas P.}",

note = "| openaire: EC/H2020/871464/EU//ARIADNE",

year = "2024",

month = oct,

doi = "10.1016/j.phycom.2024.102453",

language = "English",

volume = "66",

pages = "1--12",

journal = "Physical Communication",

issn = "1874-4907",

publisher = "Elsevier",

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TY - JOUR

T1 - Path loss, angular spread and channel sparsity modeling for indoor and outdoor environments at the sub-THz band

AU - Selimis, Dimitrios G.

AU - De Guzman, Mar Francis

AU - Manganaris, Kyriakos N.

AU - Lazarakis, Fotis I.

AU - Haneda, Katsuyuki

AU - Peppas, Kostas P.

N1 - | openaire: EC/H2020/871464/EU//ARIADNE

PY - 2024/10

Y1 - 2024/10

N2 - In this paper, we present new measurement results to model large-scale path loss, angular spread and channel sparsity at the sub-THz (141–145 GHz) band, for both indoor and outdoor scenarios. Extensive measurement campaigns have been carried out, taking into account both line-of-sight (LoS) and non line-of-sight (NLoS) propagation. For all considered propagation scenarios, omni-directional and directional path loss models have been developed, based on the so-called close-in (CI) free-space reference distance model. A power angular spread analysis is further presented. The sparsity of the wireless channel has also been studied by employing suitable metrics, namely the so-called Gini index (GI), the Ricean K-factor and the root mean square (RMS) delay spread.

AB - In this paper, we present new measurement results to model large-scale path loss, angular spread and channel sparsity at the sub-THz (141–145 GHz) band, for both indoor and outdoor scenarios. Extensive measurement campaigns have been carried out, taking into account both line-of-sight (LoS) and non line-of-sight (NLoS) propagation. For all considered propagation scenarios, omni-directional and directional path loss models have been developed, based on the so-called close-in (CI) free-space reference distance model. A power angular spread analysis is further presented. The sparsity of the wireless channel has also been studied by employing suitable metrics, namely the so-called Gini index (GI), the Ricean K-factor and the root mean square (RMS) delay spread.

KW - Channel sparsity

KW - Gini index

KW - Indoor/outdoor environments

KW - Large scale fading

KW - Path loss exponent

KW - Power angular spread

KW - Ricean K-factor

KW - RMS delay spread

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U2 - 10.1016/j.phycom.2024.102453

DO - 10.1016/j.phycom.2024.102453

M3 - Article

AN - SCOPUS:85200547297

SN - 1874-4907

VL - 66

SP - 1

EP - 12

JO - Physical Communication

JF - Physical Communication

M1 - 102453

ER -

Path loss, angular spread and channel sparsity modeling for indoor and outdoor environments at the sub-THz band

Abstract

Keywords

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ARIADNE: Artificial Intelligence Aided D-band Network for 5G Long Term Evolution

Aalto Electronics-ICT

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Path loss, angular spread and channel sparsity modeling for indoor and outdoor environments at the sub-THz band

Abstract

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ARIADNE: Artificial Intelligence Aided D-band Network for 5G Long Term Evolution

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Aalto Electronics-ICT

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