Polarimetric Wireless Indoor Channel Modeling Based on Propagation Graph
Adeogun, Ramoni ; Pedersen, Troels ; Gustafson, Carl LU and Tufvesson, Fredrik LU
(2019)
In IEEE Transactions on Antennas and Propagation
67(10).
p.6585-6595
- Abstract
This paper generalizes a propagation graph model to polarized indoor wireless channels. In the original contribution, the channel is modeled as a propagation graph in which vertices represent transmitters, receivers, and scatterers, while edges represent the propagation conditions between vertices. Each edge is characterized by an edge transfer function accounting for the attenuation, delay spread, and the phase shift on the edge. In this contribution, we extend this modeling formalism to polarized channels by incorporating depolarization effects into the edge transfer functions and hence, the channel transfer matrix. We derive closed form expressions for the polarimetric power delay spectrum and cross-polarization ratio of the indoor... (More)
This paper generalizes a propagation graph model to polarized indoor wireless channels. In the original contribution, the channel is modeled as a propagation graph in which vertices represent transmitters, receivers, and scatterers, while edges represent the propagation conditions between vertices. Each edge is characterized by an edge transfer function accounting for the attenuation, delay spread, and the phase shift on the edge. In this contribution, we extend this modeling formalism to polarized channels by incorporating depolarization effects into the edge transfer functions and hence, the channel transfer matrix. We derive closed form expressions for the polarimetric power delay spectrum and cross-polarization ratio of the indoor channel. The expressions are derived considering average signal propagation in a graph and relate these statistics to model parameters, thereby providing a useful approach to investigate the averaged effect of these parameters on the channel statistics. Furthermore, we present a procedure for calibrating the model based on method of moments. Simulations were performed to validate the proposed model and the derived approximate expressions using both synthetic data and channel measurements at 15 GHz and 60 GHz. We observe that the model and approximate expressions provide good fit to the measurement data.
(Less)
- author
- Adeogun, Ramoni
; Pedersen, Troels
; Gustafson, Carl
LU
and Tufvesson, Fredrik
LU
- organization
- publishing date
- 2019-10-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Directed graph, dual polarized system, measurements, millimeter wave, multi-in multi-out (MIMO) system, polarization, propagation graph, stochastic channel model
- in
- IEEE Transactions on Antennas and Propagation
- volume
- 67
- issue
- 10
- article number
- 8753690
- pages
- 11 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85073603950
- ISSN
- 0018-926X
- DOI
- 10.1109/TAP.2019.2925128
- language
- English
- LU publication?
- yes
- id
- a324d823-8633-434a-8380-e66b3d216fd7
- date added to LUP
- 2020-05-24 16:42:02
- date last changed
- 2022-05-12 02:38:58
@article{a324d823-8633-434a-8380-e66b3d216fd7,
abstract = {{<p>This paper generalizes a propagation graph model to polarized indoor wireless channels. In the original contribution, the channel is modeled as a propagation graph in which vertices represent transmitters, receivers, and scatterers, while edges represent the propagation conditions between vertices. Each edge is characterized by an edge transfer function accounting for the attenuation, delay spread, and the phase shift on the edge. In this contribution, we extend this modeling formalism to polarized channels by incorporating depolarization effects into the edge transfer functions and hence, the channel transfer matrix. We derive closed form expressions for the polarimetric power delay spectrum and cross-polarization ratio of the indoor channel. The expressions are derived considering average signal propagation in a graph and relate these statistics to model parameters, thereby providing a useful approach to investigate the averaged effect of these parameters on the channel statistics. Furthermore, we present a procedure for calibrating the model based on method of moments. Simulations were performed to validate the proposed model and the derived approximate expressions using both synthetic data and channel measurements at 15 GHz and 60 GHz. We observe that the model and approximate expressions provide good fit to the measurement data.</p>}},
author = {{Adeogun, Ramoni and Pedersen, Troels and Gustafson, Carl and Tufvesson, Fredrik}},
issn = {{0018-926X}},
keywords = {{Directed graph; dual polarized system; measurements; millimeter wave; multi-in multi-out (MIMO) system; polarization; propagation graph; stochastic channel model}},
language = {{eng}},
month = {{10}},
number = {{10}},
pages = {{6585--6595}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Antennas and Propagation}},
title = {{Polarimetric Wireless Indoor Channel Modeling Based on Propagation Graph}},
url = {{http://dx.doi.org/10.1109/TAP.2019.2925128}},
doi = {{10.1109/TAP.2019.2925128}},
volume = {{67}},
year = {{2019}},
}