Efficient multielement ray tracing with site-specific comparisons using measured MIMO channel data

KH Ng; EK Tameh; A Doufexi; MR Hunukumbure; AR Nix

doi:10.1109/TVT.2007.895606

Efficient multielement ray tracing with site-specific comparisons using measured MIMO channel data

KH Ng, EK Tameh, A Doufexi, MR Hunukumbure, AR Nix

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Abstract

In this paper, an advanced site-specific image-based ray-tracing model is developed that enables multielement outdoor propagation analysis to be performed in dense urban environments. Sophisticated optimization techniques, such as preprocessing the environment database using object partitioning, visibility determination, diffraction image tree precalculation, and parallel processing are used to improve run-time efficiency. Wideband and multiple-input-multiple-output (MIMO) site-specific predictions (including derived parameters such as theoretic capacity and eigenstructure) are compared with outdoor site-specific measurements at 1.92 GHz. Results show strong levels of agreement, with a mean path-loss error of 2 dB and a mean normalized-capacity error of 1.5 b/s/Hz. Physical-layer packet-error rate (PER) results are generated and compared for a range of MIMO-orthogonal frequency-division-multiplexing (OFDM) schemes using measured and predicted multielement channel data. A mean Eb/N 0 error (compared to PER results from measured channel data) of 4 and 1 dB is observed for spatial-multiplexing and space-time block-code schemes, respectively. Results indicate that the ray-tracing model successfully predicts key channel parameters (including MIMO channel structure) and thus enable the accurate prediction of PER and service coverage for emerging MIMO-OFDM networks such as 802.11n and 802.16e

Translated title of the contribution	Efficient multielement ray tracing with site-specific comparisons using measured MIMO channel data
Original language	English
Pages (from-to)	1019 - 1032
Number of pages	14
Journal	IEEE Transactions on Vehicular Technology
Volume	56
Issue number	3
DOIs	https://doi.org/10.1109/TVT.2007.895606
Publication status	Published - May 2007

Bibliographical note

Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Rose publication type: Journal article

Sponsorship: The work of K. H. Ng was supported
in part by the IST-2001-32549 ROMANTIK Project.

Terms of use: Copyright © 2007 IEEE. Reprinted from IEEE Transactions on Vehicular Technology. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

propagation
multiple-input–multiple-output (MIMO)
ray tracing
scattering

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10.1109/TVT.2007.895606

Ng TransVT May 2007Accepted author manuscript, 1.82 MB

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VIDEO INTELLIGENCE GATHERING AND EXPLOITATION USING WIRELESS LAN TECHNOLOGY (VIGELANT)
Bull, D. R. (Principal Investigator)
1/01/04 → 1/07/07
Project: Research

Cite this

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title = "Efficient multielement ray tracing with site-specific comparisons using measured MIMO channel data",

abstract = "In this paper, an advanced site-specific image-based ray-tracing model is developed that enables multielement outdoor propagation analysis to be performed in dense urban environments. Sophisticated optimization techniques, such as preprocessing the environment database using object partitioning, visibility determination, diffraction image tree precalculation, and parallel processing are used to improve run-time efficiency. Wideband and multiple-input-multiple-output (MIMO) site-specific predictions (including derived parameters such as theoretic capacity and eigenstructure) are compared with outdoor site-specific measurements at 1.92 GHz. Results show strong levels of agreement, with a mean path-loss error of 2 dB and a mean normalized-capacity error of 1.5 b/s/Hz. Physical-layer packet-error rate (PER) results are generated and compared for a range of MIMO-orthogonal frequency-division-multiplexing (OFDM) schemes using measured and predicted multielement channel data. A mean Eb/N 0 error (compared to PER results from measured channel data) of 4 and 1 dB is observed for spatial-multiplexing and space-time block-code schemes, respectively. Results indicate that the ray-tracing model successfully predicts key channel parameters (including MIMO channel structure) and thus enable the accurate prediction of PER and service coverage for emerging MIMO-OFDM networks such as 802.11n and 802.16e",

keywords = "propagation, multiple-input–multiple-output (MIMO), ray tracing, scattering",

author = "KH Ng and EK Tameh and A Doufexi and MR Hunukumbure and AR Nix",

note = "Publisher: Institute of Electrical and Electronics Engineers (IEEE) Rose publication type: Journal article Sponsorship: The work of K. H. Ng was supported in part by the IST-2001-32549 ROMANTIK Project. Terms of use: Copyright {\textcopyright} 2007 IEEE. Reprinted from IEEE Transactions on Vehicular Technology. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ",

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AU - Tameh, EK

AU - Doufexi, A

AU - Hunukumbure, MR

AU - Nix, AR

N1 - Publisher: Institute of Electrical and Electronics Engineers (IEEE) Rose publication type: Journal article Sponsorship: The work of K. H. Ng was supported in part by the IST-2001-32549 ROMANTIK Project. Terms of use: Copyright © 2007 IEEE. Reprinted from IEEE Transactions on Vehicular Technology. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2007/5

Y1 - 2007/5

N2 - In this paper, an advanced site-specific image-based ray-tracing model is developed that enables multielement outdoor propagation analysis to be performed in dense urban environments. Sophisticated optimization techniques, such as preprocessing the environment database using object partitioning, visibility determination, diffraction image tree precalculation, and parallel processing are used to improve run-time efficiency. Wideband and multiple-input-multiple-output (MIMO) site-specific predictions (including derived parameters such as theoretic capacity and eigenstructure) are compared with outdoor site-specific measurements at 1.92 GHz. Results show strong levels of agreement, with a mean path-loss error of 2 dB and a mean normalized-capacity error of 1.5 b/s/Hz. Physical-layer packet-error rate (PER) results are generated and compared for a range of MIMO-orthogonal frequency-division-multiplexing (OFDM) schemes using measured and predicted multielement channel data. A mean Eb/N 0 error (compared to PER results from measured channel data) of 4 and 1 dB is observed for spatial-multiplexing and space-time block-code schemes, respectively. Results indicate that the ray-tracing model successfully predicts key channel parameters (including MIMO channel structure) and thus enable the accurate prediction of PER and service coverage for emerging MIMO-OFDM networks such as 802.11n and 802.16e

AB - In this paper, an advanced site-specific image-based ray-tracing model is developed that enables multielement outdoor propagation analysis to be performed in dense urban environments. Sophisticated optimization techniques, such as preprocessing the environment database using object partitioning, visibility determination, diffraction image tree precalculation, and parallel processing are used to improve run-time efficiency. Wideband and multiple-input-multiple-output (MIMO) site-specific predictions (including derived parameters such as theoretic capacity and eigenstructure) are compared with outdoor site-specific measurements at 1.92 GHz. Results show strong levels of agreement, with a mean path-loss error of 2 dB and a mean normalized-capacity error of 1.5 b/s/Hz. Physical-layer packet-error rate (PER) results are generated and compared for a range of MIMO-orthogonal frequency-division-multiplexing (OFDM) schemes using measured and predicted multielement channel data. A mean Eb/N 0 error (compared to PER results from measured channel data) of 4 and 1 dB is observed for spatial-multiplexing and space-time block-code schemes, respectively. Results indicate that the ray-tracing model successfully predicts key channel parameters (including MIMO channel structure) and thus enable the accurate prediction of PER and service coverage for emerging MIMO-OFDM networks such as 802.11n and 802.16e

KW - propagation

KW - multiple-input–multiple-output (MIMO)

KW - ray tracing

KW - scattering

U2 - 10.1109/TVT.2007.895606

DO - 10.1109/TVT.2007.895606

M3 - Article (Academic Journal)

SN - 1939-9359

VL - 56

SP - 1019

EP - 1032

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

IS - 3

ER -

Efficient multielement ray tracing with site-specific comparisons using measured MIMO channel data

Abstract

Bibliographical note

Keywords

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Projects

VIDEO INTELLIGENCE GATHERING AND EXPLOITATION USING WIRELESS LAN TECHNOLOGY (VIGELANT)

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