An Empirical Random-Cluster Model for Subway Channels Based on Passive Measurements in UMTS
(2016) In IEEE Transactions on Communications 64(8). p.3563-3575- Abstract
Recently, a measurement campaign for characterizing the channels in underground subway environments was conducted in Shanghai, China. Downlink signals transmitted by 46 universal mobile telecommunication system cells deployed along a 34-km-long subway were collected. Channel impulse responses are extracted from the data received in the common pilot channels, based on which parameters of multipath components are estimated by using a high-resolution parameter algorithm derived using the space-alternating generalized expectation-maximization principle. Multiple time-evolving clusters are obtained, each representing the channel from a remote-radio-unit of a base station to the receiver. Based on a total of 98 time-evolving clusters,... (More)
Recently, a measurement campaign for characterizing the channels in underground subway environments was conducted in Shanghai, China. Downlink signals transmitted by 46 universal mobile telecommunication system cells deployed along a 34-km-long subway were collected. Channel impulse responses are extracted from the data received in the common pilot channels, based on which parameters of multipath components are estimated by using a high-resolution parameter algorithm derived using the space-alternating generalized expectation-maximization principle. Multiple time-evolving clusters are obtained, each representing the channel from a remote-radio-unit of a base station to the receiver. Based on a total of 98 time-evolving clusters, channels observed in the station scenario and the tunnel scenario are modeled separately for their distinctive behaviors in many aspects, particularly in the variations of clusters' trajectories. Intracluster characteristics parameterized by cluster delay and Doppler frequency spreads, K-factor, and dependences among these parameters are investigated. Intercluster parameters, including coexisting cluster number, delay offset, power offset, and cross correlations, are investigated for the station scenario. A path loss model is established for the tunnel scenario.
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- author
- Cai, Xuesong LU ; Yin, Xuefeng ; Cheng, Xiang and Perez Yuste, Antonio
- publishing date
- 2016-08
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- delay spread, doppler frequency spread, K-factor, multi-link channel, passive channel sounding, path loss, Subway propagation environment, time-evolving cluster, universal mobile terrestrial system
- in
- IEEE Transactions on Communications
- volume
- 64
- issue
- 8
- article number
- 7489014
- pages
- 13 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:84985914667
- ISSN
- 0090-6778
- DOI
- 10.1109/TCOMM.2016.2578923
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2016 IEEE.
- id
- 1770d06b-a43c-44e6-b419-bcd695f70ee8
- date added to LUP
- 2021-11-22 22:30:35
- date last changed
- 2022-04-27 06:16:43
@article{1770d06b-a43c-44e6-b419-bcd695f70ee8,
abstract = {{<p>Recently, a measurement campaign for characterizing the channels in underground subway environments was conducted in Shanghai, China. Downlink signals transmitted by 46 universal mobile telecommunication system cells deployed along a 34-km-long subway were collected. Channel impulse responses are extracted from the data received in the common pilot channels, based on which parameters of multipath components are estimated by using a high-resolution parameter algorithm derived using the space-alternating generalized expectation-maximization principle. Multiple time-evolving clusters are obtained, each representing the channel from a remote-radio-unit of a base station to the receiver. Based on a total of 98 time-evolving clusters, channels observed in the station scenario and the tunnel scenario are modeled separately for their distinctive behaviors in many aspects, particularly in the variations of clusters' trajectories. Intracluster characteristics parameterized by cluster delay and Doppler frequency spreads, K-factor, and dependences among these parameters are investigated. Intercluster parameters, including coexisting cluster number, delay offset, power offset, and cross correlations, are investigated for the station scenario. A path loss model is established for the tunnel scenario.</p>}},
author = {{Cai, Xuesong and Yin, Xuefeng and Cheng, Xiang and Perez Yuste, Antonio}},
issn = {{0090-6778}},
keywords = {{delay spread; doppler frequency spread; K-factor; multi-link channel; passive channel sounding; path loss; Subway propagation environment; time-evolving cluster; universal mobile terrestrial system}},
language = {{eng}},
number = {{8}},
pages = {{3563--3575}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Communications}},
title = {{An Empirical Random-Cluster Model for Subway Channels Based on Passive Measurements in UMTS}},
url = {{http://dx.doi.org/10.1109/TCOMM.2016.2578923}},
doi = {{10.1109/TCOMM.2016.2578923}},
volume = {{64}},
year = {{2016}},
}