Large-Scale Parameter Estimation in Channel Sounding with Limited Dynamic Range

Aki Karttunen; Katsuyuki Haneda

Large-Scale Parameter Estimation in Channel Sounding with Limited Dynamic Range

Aki Karttunen
, Katsuyuki Haneda

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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Abstract

In this paper, we examine large-scale parameter (LSP) estimates for spatio-temporal mobile radio channels in the case when the measurement dynamic range is too poor to derive the LSPs for all the measurement locations. Conventionally the LSPs are derived with, e.g., 20 dB dynamic range from the strongest detected multipath component (MPC), but such a measurement dynamic range cannot be guaranteed in all measurements as some of them suffer from large path loss (PL) and/or variation due to shadow fading (SF). We will show that the LSPs, specifically PL, SF, delay spread (DS), and angular spread (AS), can be considered as incomplete data. Incomplete data can be described either by a maximum or a minimum value (or both) when the measurements are with poor dynamic range. We show that the incomplete data should be taken into account in deriving the LSP statistics using the maximum likelihood estimation (MLE) rather than omitted as outage. Outdoor-to-indoor (O2I) measurements at the 14-14.5 GHz range are used as an example.

Original language	English
Title of host publication	Proceedings of the European Conference on Antennas and Propagation
Publisher	EurAAP Italia
ISBN (Electronic)	978-88-907018-8-7
Publication status	Published - 1 Mar 2019
MoE publication type	A4 Conference publication
Event	European Conference on Antennas and Propagation - Krakow, Poland Duration: 31 Mar 2019 → 5 Apr 2019 Conference number: 13 http://www.eucap2019.org/

Publication series

Name	Proceedings of the European Conference on Antennas and Propagation
ISSN (Print)	2164-3342

Conference

Conference	European Conference on Antennas and Propagation
Abbreviated title	EuCAP
Country/Territory	Poland
City	Krakow
Period	31/03/2019 → 05/04/2019
Internet address	http://www.eucap2019.org/

Funding

ACKNOWLEDGMENT The research leading to these results received funding from the LuxTurrim5G project funded by the participating companies and Business Finland. The authors would like to thank Pasi Koivummäki, Sinh Nguyen, Usman Virk, Vasilii Semkin, Jyri Putkonen, and Pekka Wainio for help during the measurements.

Keywords

channel models
incomplete data
maximum likelihood estimation
measurement
modeling
outdoor-to-indoor propagation
radiowave propagation
short-range communications

Access to Document

ELEC_Karttunen_Large-scale_EuCAPAccepted author manuscript, 255 KB

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8739875

Cite this

@inproceedings{a70d2ad59f344713a8f7fda901ee3a0a,

title = "Large-Scale Parameter Estimation in Channel Sounding with Limited Dynamic Range",

abstract = "In this paper, we examine large-scale parameter (LSP) estimates for spatio-temporal mobile radio channels in the case when the measurement dynamic range is too poor to derive the LSPs for all the measurement locations. Conventionally the LSPs are derived with, e.g., 20 dB dynamic range from the strongest detected multipath component (MPC), but such a measurement dynamic range cannot be guaranteed in all measurements as some of them suffer from large path loss (PL) and/or variation due to shadow fading (SF). We will show that the LSPs, specifically PL, SF, delay spread (DS), and angular spread (AS), can be considered as incomplete data. Incomplete data can be described either by a maximum or a minimum value (or both) when the measurements are with poor dynamic range. We show that the incomplete data should be taken into account in deriving the LSP statistics using the maximum likelihood estimation (MLE) rather than omitted as outage. Outdoor-to-indoor (O2I) measurements at the 14-14.5 GHz range are used as an example.",

keywords = "channel models, incomplete data, maximum likelihood estimation, measurement, modeling, outdoor-to-indoor propagation, radiowave propagation, short-range communications",

author = "Aki Karttunen and Katsuyuki Haneda",

year = "2019",

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note = "European Conference on Antennas and Propagation, EuCAP ; Conference date: 31-03-2019 Through 05-04-2019",

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Karttunen, A & Haneda, K 2019, Large-Scale Parameter Estimation in Channel Sounding with Limited Dynamic Range. in Proceedings of the European Conference on Antennas and Propagation., 8739875, Proceedings of the European Conference on Antennas and Propagation, EurAAP Italia, European Conference on Antennas and Propagation, Krakow, Poland, 31/03/2019. <https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8739875>

Large-Scale Parameter Estimation in Channel Sounding with Limited Dynamic Range. / Karttunen, Aki; Haneda, Katsuyuki.
Proceedings of the European Conference on Antennas and Propagation. EurAAP Italia, 2019. 8739875 (Proceedings of the European Conference on Antennas and Propagation).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Haneda, Katsuyuki

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N2 - In this paper, we examine large-scale parameter (LSP) estimates for spatio-temporal mobile radio channels in the case when the measurement dynamic range is too poor to derive the LSPs for all the measurement locations. Conventionally the LSPs are derived with, e.g., 20 dB dynamic range from the strongest detected multipath component (MPC), but such a measurement dynamic range cannot be guaranteed in all measurements as some of them suffer from large path loss (PL) and/or variation due to shadow fading (SF). We will show that the LSPs, specifically PL, SF, delay spread (DS), and angular spread (AS), can be considered as incomplete data. Incomplete data can be described either by a maximum or a minimum value (or both) when the measurements are with poor dynamic range. We show that the incomplete data should be taken into account in deriving the LSP statistics using the maximum likelihood estimation (MLE) rather than omitted as outage. Outdoor-to-indoor (O2I) measurements at the 14-14.5 GHz range are used as an example.

AB - In this paper, we examine large-scale parameter (LSP) estimates for spatio-temporal mobile radio channels in the case when the measurement dynamic range is too poor to derive the LSPs for all the measurement locations. Conventionally the LSPs are derived with, e.g., 20 dB dynamic range from the strongest detected multipath component (MPC), but such a measurement dynamic range cannot be guaranteed in all measurements as some of them suffer from large path loss (PL) and/or variation due to shadow fading (SF). We will show that the LSPs, specifically PL, SF, delay spread (DS), and angular spread (AS), can be considered as incomplete data. Incomplete data can be described either by a maximum or a minimum value (or both) when the measurements are with poor dynamic range. We show that the incomplete data should be taken into account in deriving the LSP statistics using the maximum likelihood estimation (MLE) rather than omitted as outage. Outdoor-to-indoor (O2I) measurements at the 14-14.5 GHz range are used as an example.

KW - channel models

KW - incomplete data

KW - maximum likelihood estimation

KW - measurement

KW - modeling

KW - outdoor-to-indoor propagation

KW - radiowave propagation

KW - short-range communications

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T3 - Proceedings of the European Conference on Antennas and Propagation

BT - Proceedings of the European Conference on Antennas and Propagation

PB - EurAAP Italia

T2 - European Conference on Antennas and Propagation

Y2 - 31 March 2019 through 5 April 2019

ER -

Large-Scale Parameter Estimation in Channel Sounding with Limited Dynamic Range

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

LuxTurrim5G: Smart 5G small cell street pole infrastructure for digital service ecosystem in future urban city environments

Cite this

Large-Scale Parameter Estimation in Channel Sounding with Limited Dynamic Range

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

LuxTurrim5G: Smart 5G small cell street pole infrastructure for digital service ecosystem in future urban city environments

Cite this