A General 3D Non-Stationary GBSM for Underground Vehicular Channels
Reliable and efficient communications are indispensable for vehicles in underground environments. Underground wireless channels present a number of unique properties, such as guided propagation, rich scatterers, and near-field/far-field effect. In this paper, a three-dimensional (3D) twin cluster ge...
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Veröffentlicht in: | IEEE transactions on antennas and propagation 2022-12, p.1-1 |
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creator | Chang, Hengtai Wang, Cheng-Xiang Liu, Yu Huang, Jie Sun, Jian Zhang, Wensheng Bai, Zhiquan An, Kang Li, Zengliang Aggoune, El-Hadi M. |
description | Reliable and efficient communications are indispensable for vehicles in underground environments. Underground wireless channels present a number of unique properties, such as guided propagation, rich scatterers, and near-field/far-field effect. In this paper, a three-dimensional (3D) twin cluster geometry-based stochastic model (GBSM) is proposed to describe underground vehicular channel characteristics in both pillar and tunnel scenarios. The proposed model supports arbitrary trajectory mobility of vehicles and multiple antenna configurations at the transmitter (Tx) and receiver (Rx). The cluster time evolution is modeled by different scatterer generation and updating methods to simulate the channel characteristics such as non-stationarity, near-field/far-field differences, and waveguide effects. Based on the proposed channel model, the statistical characteristics of the channel are derived and simulated, including temporal autocorrelation function (ACF), spatial cross-correlation function (CCF), delay power spectrum density (PSD), Doppler PSD, etc. Besides, underground channel measurements at 2.5/3.5 GHz are conducted in a garage scenario. Comparison results of channel measurements and simulations validate the accuracy and usefulness of the proposed GBSM. |
doi_str_mv | 10.1109/TAP.2022.3231679 |
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Underground wireless channels present a number of unique properties, such as guided propagation, rich scatterers, and near-field/far-field effect. In this paper, a three-dimensional (3D) twin cluster geometry-based stochastic model (GBSM) is proposed to describe underground vehicular channel characteristics in both pillar and tunnel scenarios. The proposed model supports arbitrary trajectory mobility of vehicles and multiple antenna configurations at the transmitter (Tx) and receiver (Rx). The cluster time evolution is modeled by different scatterer generation and updating methods to simulate the channel characteristics such as non-stationarity, near-field/far-field differences, and waveguide effects. Based on the proposed channel model, the statistical characteristics of the channel are derived and simulated, including temporal autocorrelation function (ACF), spatial cross-correlation function (CCF), delay power spectrum density (PSD), Doppler PSD, etc. Besides, underground channel measurements at 2.5/3.5 GHz are conducted in a garage scenario. Comparison results of channel measurements and simulations validate the accuracy and usefulness of the proposed GBSM.</description><identifier>ISSN: 0018-926X</identifier><identifier>DOI: 10.1109/TAP.2022.3231679</identifier><identifier>CODEN: IETPAK</identifier><language>eng</language><publisher>IEEE</publisher><subject>Antenna measurements ; Channel models ; communication channels ; Delays ; Electromagnetic propagation ; Fading channels ; Loss measurement ; MIMO communication ; Public transportation ; radio propagation ; time-varying channels</subject><ispartof>IEEE transactions on antennas and propagation, 2022-12, p.1-1</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0003-0284-1930 ; 0000-0002-1497-2906 ; 0000-0001-7020-7574 ; 0000-0002-9729-9592 ; 0000-0002-8716-3691 ; 0000-0001-8742-8736 ; 0000-0002-2453-5275 ; 0000-0001-9153-0442</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10003140$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54737</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10003140$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chang, Hengtai</creatorcontrib><creatorcontrib>Wang, Cheng-Xiang</creatorcontrib><creatorcontrib>Liu, Yu</creatorcontrib><creatorcontrib>Huang, Jie</creatorcontrib><creatorcontrib>Sun, Jian</creatorcontrib><creatorcontrib>Zhang, Wensheng</creatorcontrib><creatorcontrib>Bai, Zhiquan</creatorcontrib><creatorcontrib>An, Kang</creatorcontrib><creatorcontrib>Li, Zengliang</creatorcontrib><creatorcontrib>Aggoune, El-Hadi M.</creatorcontrib><title>A General 3D Non-Stationary GBSM for Underground Vehicular Channels</title><title>IEEE transactions on antennas and propagation</title><addtitle>TAP</addtitle><description>Reliable and efficient communications are indispensable for vehicles in underground environments. Underground wireless channels present a number of unique properties, such as guided propagation, rich scatterers, and near-field/far-field effect. In this paper, a three-dimensional (3D) twin cluster geometry-based stochastic model (GBSM) is proposed to describe underground vehicular channel characteristics in both pillar and tunnel scenarios. The proposed model supports arbitrary trajectory mobility of vehicles and multiple antenna configurations at the transmitter (Tx) and receiver (Rx). The cluster time evolution is modeled by different scatterer generation and updating methods to simulate the channel characteristics such as non-stationarity, near-field/far-field differences, and waveguide effects. Based on the proposed channel model, the statistical characteristics of the channel are derived and simulated, including temporal autocorrelation function (ACF), spatial cross-correlation function (CCF), delay power spectrum density (PSD), Doppler PSD, etc. Besides, underground channel measurements at 2.5/3.5 GHz are conducted in a garage scenario. Comparison results of channel measurements and simulations validate the accuracy and usefulness of the proposed GBSM.</description><subject>Antenna measurements</subject><subject>Channel models</subject><subject>communication channels</subject><subject>Delays</subject><subject>Electromagnetic propagation</subject><subject>Fading channels</subject><subject>Loss measurement</subject><subject>MIMO communication</subject><subject>Public transportation</subject><subject>radio propagation</subject><subject>time-varying channels</subject><issn>0018-926X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFjLsOgjAUQDtoIj52B4f-AHj7CMKIqLhoTEDjRhq5CAaLaWHw73Vwdzo5OckhZM7AYwzCZRadPA6ce4IL5q_CAXEAWOCG3L-OyNjax1dlIKVD4ogmqNGohooNPbbaTTvV1a1W5k2TdXqgZWvoWRdo7qbtdUEvWNW3vlGGxpXSGhs7JcNSNRZnP07IYrfN4r1bI2L-MvXzO8sZAAgmQfzJH2aBN9A</recordid><startdate>20221229</startdate><enddate>20221229</enddate><creator>Chang, Hengtai</creator><creator>Wang, Cheng-Xiang</creator><creator>Liu, Yu</creator><creator>Huang, Jie</creator><creator>Sun, Jian</creator><creator>Zhang, Wensheng</creator><creator>Bai, Zhiquan</creator><creator>An, Kang</creator><creator>Li, Zengliang</creator><creator>Aggoune, El-Hadi M.</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><orcidid>https://orcid.org/0000-0003-0284-1930</orcidid><orcidid>https://orcid.org/0000-0002-1497-2906</orcidid><orcidid>https://orcid.org/0000-0001-7020-7574</orcidid><orcidid>https://orcid.org/0000-0002-9729-9592</orcidid><orcidid>https://orcid.org/0000-0002-8716-3691</orcidid><orcidid>https://orcid.org/0000-0001-8742-8736</orcidid><orcidid>https://orcid.org/0000-0002-2453-5275</orcidid><orcidid>https://orcid.org/0000-0001-9153-0442</orcidid></search><sort><creationdate>20221229</creationdate><title>A General 3D Non-Stationary GBSM for Underground Vehicular Channels</title><author>Chang, Hengtai ; Wang, Cheng-Xiang ; Liu, Yu ; Huang, Jie ; Sun, Jian ; Zhang, Wensheng ; Bai, Zhiquan ; An, Kang ; Li, Zengliang ; Aggoune, El-Hadi M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_100031403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Antenna measurements</topic><topic>Channel models</topic><topic>communication channels</topic><topic>Delays</topic><topic>Electromagnetic propagation</topic><topic>Fading channels</topic><topic>Loss measurement</topic><topic>MIMO communication</topic><topic>Public transportation</topic><topic>radio propagation</topic><topic>time-varying channels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Hengtai</creatorcontrib><creatorcontrib>Wang, Cheng-Xiang</creatorcontrib><creatorcontrib>Liu, Yu</creatorcontrib><creatorcontrib>Huang, Jie</creatorcontrib><creatorcontrib>Sun, Jian</creatorcontrib><creatorcontrib>Zhang, Wensheng</creatorcontrib><creatorcontrib>Bai, Zhiquan</creatorcontrib><creatorcontrib>An, Kang</creatorcontrib><creatorcontrib>Li, Zengliang</creatorcontrib><creatorcontrib>Aggoune, El-Hadi M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><jtitle>IEEE transactions on antennas and propagation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chang, Hengtai</au><au>Wang, Cheng-Xiang</au><au>Liu, Yu</au><au>Huang, Jie</au><au>Sun, Jian</au><au>Zhang, Wensheng</au><au>Bai, Zhiquan</au><au>An, Kang</au><au>Li, Zengliang</au><au>Aggoune, El-Hadi M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A General 3D Non-Stationary GBSM for Underground Vehicular Channels</atitle><jtitle>IEEE transactions on antennas and propagation</jtitle><stitle>TAP</stitle><date>2022-12-29</date><risdate>2022</risdate><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>0018-926X</issn><coden>IETPAK</coden><abstract>Reliable and efficient communications are indispensable for vehicles in underground environments. Underground wireless channels present a number of unique properties, such as guided propagation, rich scatterers, and near-field/far-field effect. In this paper, a three-dimensional (3D) twin cluster geometry-based stochastic model (GBSM) is proposed to describe underground vehicular channel characteristics in both pillar and tunnel scenarios. The proposed model supports arbitrary trajectory mobility of vehicles and multiple antenna configurations at the transmitter (Tx) and receiver (Rx). The cluster time evolution is modeled by different scatterer generation and updating methods to simulate the channel characteristics such as non-stationarity, near-field/far-field differences, and waveguide effects. Based on the proposed channel model, the statistical characteristics of the channel are derived and simulated, including temporal autocorrelation function (ACF), spatial cross-correlation function (CCF), delay power spectrum density (PSD), Doppler PSD, etc. Besides, underground channel measurements at 2.5/3.5 GHz are conducted in a garage scenario. Comparison results of channel measurements and simulations validate the accuracy and usefulness of the proposed GBSM.</abstract><pub>IEEE</pub><doi>10.1109/TAP.2022.3231679</doi><orcidid>https://orcid.org/0000-0003-0284-1930</orcidid><orcidid>https://orcid.org/0000-0002-1497-2906</orcidid><orcidid>https://orcid.org/0000-0001-7020-7574</orcidid><orcidid>https://orcid.org/0000-0002-9729-9592</orcidid><orcidid>https://orcid.org/0000-0002-8716-3691</orcidid><orcidid>https://orcid.org/0000-0001-8742-8736</orcidid><orcidid>https://orcid.org/0000-0002-2453-5275</orcidid><orcidid>https://orcid.org/0000-0001-9153-0442</orcidid></addata></record> |
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subjects | Antenna measurements Channel models communication channels Delays Electromagnetic propagation Fading channels Loss measurement MIMO communication Public transportation radio propagation time-varying channels |
title | A General 3D Non-Stationary GBSM for Underground Vehicular Channels |
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