Adaptive Channel Estimation Based on a Decision Method Using a Long Preamble for the IEEE 802.11p

Joo Young Choi; Cheol Mun; Jong Gwan Yook

doi:10.1109/VTCSpring.2017.8108356

Adaptive Channel Estimation Based on a Decision Method Using a Long Preamble for the IEEE 802.11p

Joo Young Choi, Cheol Mun, Jong Gwan Yook

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

A minimum mean square error estimation (MMSE) using a virtual pilot channel estimation scheme was proposed by our researchers for improving the error performance of the IEEE 802.11p. However, compared to the STA channel estimation scheme, the MMSE scheme cannot provide an acceptable error performance in a low SNR region. To alleviate this, we propose an adaptive channel estimation scheme, which selectively uses a channel estimation scheme that has an error performance in-between that of the STA and the MMSE, through a decision method using a long preamble. Simulation results demonstrate that the proposed scheme can select a better channel estimation scheme, thereby demonstrating an excellent performance over the entire SNR range of interest.

Original language	English
Title of host publication	2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509059324
DOIs	https://doi.org/10.1109/VTCSpring.2017.8108356
Publication status	Published - 2017 Nov 14
Event	85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia Duration: 2017 Jun 4 → 2017 Jun 7

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2017-June
ISSN (Print)	1550-2252

Conference

Conference	85th IEEE Vehicular Technology Conference, VTC Spring 2017
Country/Territory	Australia
City	Sydney
Period	17/6/4 → 17/6/7

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was supported by the MSIP (Ministry of Science, ICT, and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2016-H8601-16-1008) supervised by the IITP (Institute for Information and communications Technology Promotion) and by a grant (16CTAP-C098206-02) from the Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure, and Transport of the Korean government.

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VTCSpring.2017.8108356

Cite this

Choi, J. Y., Mun, C., & Yook, J. G. (2017). Adaptive Channel Estimation Based on a Decision Method Using a Long Preamble for the IEEE 802.11p. In 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings [8108356] (IEEE Vehicular Technology Conference; Vol. 2017-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2017.8108356

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title = "Adaptive Channel Estimation Based on a Decision Method Using a Long Preamble for the IEEE 802.11p",

abstract = "A minimum mean square error estimation (MMSE) using a virtual pilot channel estimation scheme was proposed by our researchers for improving the error performance of the IEEE 802.11p. However, compared to the STA channel estimation scheme, the MMSE scheme cannot provide an acceptable error performance in a low SNR region. To alleviate this, we propose an adaptive channel estimation scheme, which selectively uses a channel estimation scheme that has an error performance in-between that of the STA and the MMSE, through a decision method using a long preamble. Simulation results demonstrate that the proposed scheme can select a better channel estimation scheme, thereby demonstrating an excellent performance over the entire SNR range of interest.",

author = "Choi, {Joo Young} and Cheol Mun and Yook, {Jong Gwan}",

note = "Funding Information: ACKNOWLEDGMENT This research was supported by the MSIP (Ministry of Science, ICT, and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2016-H8601-16-1008) supervised by the IITP (Institute for Information and communications Technology Promotion) and by a grant (16CTAP-C098206-02) from the Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure, and Transport of the Korean government. Publisher Copyright: {\textcopyright} 2017 IEEE.; 85th IEEE Vehicular Technology Conference, VTC Spring 2017 ; Conference date: 04-06-2017 Through 07-06-2017",

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doi = "10.1109/VTCSpring.2017.8108356",

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Choi, JY, Mun, C & Yook, JG 2017, Adaptive Channel Estimation Based on a Decision Method Using a Long Preamble for the IEEE 802.11p. in 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings., 8108356, IEEE Vehicular Technology Conference, vol. 2017-June, Institute of Electrical and Electronics Engineers Inc., 85th IEEE Vehicular Technology Conference, VTC Spring 2017, Sydney, Australia, 17/6/4. https://doi.org/10.1109/VTCSpring.2017.8108356

Adaptive Channel Estimation Based on a Decision Method Using a Long Preamble for the IEEE 802.11p. / Choi, Joo Young; Mun, Cheol; Yook, Jong Gwan.

2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 8108356 (IEEE Vehicular Technology Conference; Vol. 2017-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N1 - Funding Information: ACKNOWLEDGMENT This research was supported by the MSIP (Ministry of Science, ICT, and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2016-H8601-16-1008) supervised by the IITP (Institute for Information and communications Technology Promotion) and by a grant (16CTAP-C098206-02) from the Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure, and Transport of the Korean government. Publisher Copyright: © 2017 IEEE.

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N2 - A minimum mean square error estimation (MMSE) using a virtual pilot channel estimation scheme was proposed by our researchers for improving the error performance of the IEEE 802.11p. However, compared to the STA channel estimation scheme, the MMSE scheme cannot provide an acceptable error performance in a low SNR region. To alleviate this, we propose an adaptive channel estimation scheme, which selectively uses a channel estimation scheme that has an error performance in-between that of the STA and the MMSE, through a decision method using a long preamble. Simulation results demonstrate that the proposed scheme can select a better channel estimation scheme, thereby demonstrating an excellent performance over the entire SNR range of interest.

AB - A minimum mean square error estimation (MMSE) using a virtual pilot channel estimation scheme was proposed by our researchers for improving the error performance of the IEEE 802.11p. However, compared to the STA channel estimation scheme, the MMSE scheme cannot provide an acceptable error performance in a low SNR region. To alleviate this, we propose an adaptive channel estimation scheme, which selectively uses a channel estimation scheme that has an error performance in-between that of the STA and the MMSE, through a decision method using a long preamble. Simulation results demonstrate that the proposed scheme can select a better channel estimation scheme, thereby demonstrating an excellent performance over the entire SNR range of interest.

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Adaptive Channel Estimation Based on a Decision Method Using a Long Preamble for the IEEE 802.11p

Abstract

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