Message-Passing Receiver for OCDM in Vehicular Communications and Networks
As a new candidate waveform for the next generation of mobile communications, orthogonal chirp division multiplexing (OCDM) has attracted growing attention for its high spectrum efficiency and robustness to narrow-band interference or impulsive noise. Under vehicular communication channels with mult...
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Veröffentlicht in: | IEEE internet of things journal 2024-07, Vol.11 (14), p.24903-24917 |
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creator | Liu, Yun Ji, Fei Wen, Miaowen Qing, Hua Wan, Dehuan Hu, Zeng |
description | As a new candidate waveform for the next generation of mobile communications, orthogonal chirp division multiplexing (OCDM) has attracted growing attention for its high spectrum efficiency and robustness to narrow-band interference or impulsive noise. Under vehicular communication channels with multiple lags and multiple Doppler shifts (MLMDs), the signal suffers doubly selective (DS) fadings in the time and frequency domain, and data symbols modulated on orthogonal chirps interfere with each other. To address the problem of symbol detection of OCDM over MLMD channels, under the assumption that path attenuation factors, delays, and Doppler shifts of the channel are available, we first derive the closed-form channel matrix in the Fresnel domain and then propose a low-complexity method to approximate it as a sparse matrix. Based on the approximated Fresnel-domain channel, we propose a message-passing (MP)-based detector to estimate the transmit symbols iteratively. Finally, under two MLMD channels (an underspread channel for terrestrial vehicular communications and an overspread channel for narrow-band underwater acoustic communications), Monte Carlo simulation results and analyses are provided to validate its advantages as a promising detector for OCDM. |
doi_str_mv | 10.1109/JIOT.2024.3387887 |
format | Article |
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Under vehicular communication channels with multiple lags and multiple Doppler shifts (MLMDs), the signal suffers doubly selective (DS) fadings in the time and frequency domain, and data symbols modulated on orthogonal chirps interfere with each other. To address the problem of symbol detection of OCDM over MLMD channels, under the assumption that path attenuation factors, delays, and Doppler shifts of the channel are available, we first derive the closed-form channel matrix in the Fresnel domain and then propose a low-complexity method to approximate it as a sparse matrix. Based on the approximated Fresnel-domain channel, we propose a message-passing (MP)-based detector to estimate the transmit symbols iteratively. Finally, under two MLMD channels (an underspread channel for terrestrial vehicular communications and an overspread channel for narrow-band underwater acoustic communications), Monte Carlo simulation results and analyses are provided to validate its advantages as a promising detector for OCDM.</description><identifier>ISSN: 2327-4662</identifier><identifier>EISSN: 2327-4662</identifier><identifier>DOI: 10.1109/JIOT.2024.3387887</identifier><identifier>CODEN: IITJAU</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Channels ; Chirp ; Code division multiplexing ; Doubly selective (DS) ; Message passing ; Monte Carlo simulation ; multiple lags and multiple Doppler shifts (MLMDs) ; Multiplexing ; OFDM ; orthogonal chirp division multiplexing (OCDM) ; overspread ; Receivers ; Sparse matrices ; Symbols ; time varying ; under spread ; underwater acoustic (UWA) communications ; Underwater acoustics ; Vectors ; vehicular communications ; Waveforms</subject><ispartof>IEEE internet of things journal, 2024-07, Vol.11 (14), p.24903-24917</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c176t-b560351c6e52c7c204ebabba6eba131ef9b0cde61f3515f4a66c37d4b40fdacb3</cites><orcidid>0000-0002-6698-583X ; 0000-0003-1549-3322 ; 0000-0002-9376-7408 ; 0000-0002-9638-7048 ; 0000-0001-6788-0418 ; 0000-0001-8373-9449</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10497118$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10497118$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Liu, Yun</creatorcontrib><creatorcontrib>Ji, Fei</creatorcontrib><creatorcontrib>Wen, Miaowen</creatorcontrib><creatorcontrib>Qing, Hua</creatorcontrib><creatorcontrib>Wan, Dehuan</creatorcontrib><creatorcontrib>Hu, Zeng</creatorcontrib><title>Message-Passing Receiver for OCDM in Vehicular Communications and Networks</title><title>IEEE internet of things journal</title><addtitle>JIoT</addtitle><description>As a new candidate waveform for the next generation of mobile communications, orthogonal chirp division multiplexing (OCDM) has attracted growing attention for its high spectrum efficiency and robustness to narrow-band interference or impulsive noise. Under vehicular communication channels with multiple lags and multiple Doppler shifts (MLMDs), the signal suffers doubly selective (DS) fadings in the time and frequency domain, and data symbols modulated on orthogonal chirps interfere with each other. To address the problem of symbol detection of OCDM over MLMD channels, under the assumption that path attenuation factors, delays, and Doppler shifts of the channel are available, we first derive the closed-form channel matrix in the Fresnel domain and then propose a low-complexity method to approximate it as a sparse matrix. Based on the approximated Fresnel-domain channel, we propose a message-passing (MP)-based detector to estimate the transmit symbols iteratively. Finally, under two MLMD channels (an underspread channel for terrestrial vehicular communications and an overspread channel for narrow-band underwater acoustic communications), Monte Carlo simulation results and analyses are provided to validate its advantages as a promising detector for OCDM.</description><subject>Channels</subject><subject>Chirp</subject><subject>Code division multiplexing</subject><subject>Doubly selective (DS)</subject><subject>Message passing</subject><subject>Monte Carlo simulation</subject><subject>multiple lags and multiple Doppler shifts (MLMDs)</subject><subject>Multiplexing</subject><subject>OFDM</subject><subject>orthogonal chirp division multiplexing (OCDM)</subject><subject>overspread</subject><subject>Receivers</subject><subject>Sparse matrices</subject><subject>Symbols</subject><subject>time varying</subject><subject>under spread</subject><subject>underwater acoustic (UWA) communications</subject><subject>Underwater acoustics</subject><subject>Vectors</subject><subject>vehicular communications</subject><subject>Waveforms</subject><issn>2327-4662</issn><issn>2327-4662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkMtOwzAQRS0EEhX0A5BYWGKd4lfsZInCq1VLESpsLccZF5c2KXYC4u9J1S66urM49450ELqiZEQpyW8n4_lixAgTI84zlWXqBA0YZyoRUrLTo_scDWNcEUL6WkpzOUCTGcRolpC8mhh9vcRvYMH_QMCuCXhe3M-wr_EHfHrbrU3ARbPZdLW3pvVNHbGpK_wC7W8TvuIlOnNmHWF4yAv0_viwKJ6T6fxpXNxNE0uVbJMylYSn1EpImVWWEQGlKUsj-6CcgstLYiuQ1PVU6oSR0nJViVIQVxlb8gt0s9_dhua7g9jqVdOFun-pOVEZyVPFaE_RPWVDE2MAp7fBb0z405TonTW9s6Z31vTBWt-53nc8ABzxIleUZvwft8do2Q</recordid><startdate>20240715</startdate><enddate>20240715</enddate><creator>Liu, Yun</creator><creator>Ji, Fei</creator><creator>Wen, Miaowen</creator><creator>Qing, Hua</creator><creator>Wan, Dehuan</creator><creator>Hu, Zeng</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-6698-583X</orcidid><orcidid>https://orcid.org/0000-0003-1549-3322</orcidid><orcidid>https://orcid.org/0000-0002-9376-7408</orcidid><orcidid>https://orcid.org/0000-0002-9638-7048</orcidid><orcidid>https://orcid.org/0000-0001-6788-0418</orcidid><orcidid>https://orcid.org/0000-0001-8373-9449</orcidid></search><sort><creationdate>20240715</creationdate><title>Message-Passing Receiver for OCDM in Vehicular Communications and Networks</title><author>Liu, Yun ; Ji, Fei ; Wen, Miaowen ; Qing, Hua ; Wan, Dehuan ; Hu, Zeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c176t-b560351c6e52c7c204ebabba6eba131ef9b0cde61f3515f4a66c37d4b40fdacb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Channels</topic><topic>Chirp</topic><topic>Code division multiplexing</topic><topic>Doubly selective (DS)</topic><topic>Message passing</topic><topic>Monte Carlo simulation</topic><topic>multiple lags and multiple Doppler shifts (MLMDs)</topic><topic>Multiplexing</topic><topic>OFDM</topic><topic>orthogonal chirp division multiplexing (OCDM)</topic><topic>overspread</topic><topic>Receivers</topic><topic>Sparse matrices</topic><topic>Symbols</topic><topic>time varying</topic><topic>under spread</topic><topic>underwater acoustic (UWA) communications</topic><topic>Underwater acoustics</topic><topic>Vectors</topic><topic>vehicular communications</topic><topic>Waveforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Liu, Yun</creatorcontrib><creatorcontrib>Ji, Fei</creatorcontrib><creatorcontrib>Wen, Miaowen</creatorcontrib><creatorcontrib>Qing, Hua</creatorcontrib><creatorcontrib>Wan, Dehuan</creatorcontrib><creatorcontrib>Hu, Zeng</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><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE internet of things journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Liu, Yun</au><au>Ji, Fei</au><au>Wen, Miaowen</au><au>Qing, Hua</au><au>Wan, Dehuan</au><au>Hu, Zeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Message-Passing Receiver for OCDM in Vehicular Communications and Networks</atitle><jtitle>IEEE internet of things journal</jtitle><stitle>JIoT</stitle><date>2024-07-15</date><risdate>2024</risdate><volume>11</volume><issue>14</issue><spage>24903</spage><epage>24917</epage><pages>24903-24917</pages><issn>2327-4662</issn><eissn>2327-4662</eissn><coden>IITJAU</coden><abstract>As a new candidate waveform for the next generation of mobile communications, orthogonal chirp division multiplexing (OCDM) has attracted growing attention for its high spectrum efficiency and robustness to narrow-band interference or impulsive noise. Under vehicular communication channels with multiple lags and multiple Doppler shifts (MLMDs), the signal suffers doubly selective (DS) fadings in the time and frequency domain, and data symbols modulated on orthogonal chirps interfere with each other. To address the problem of symbol detection of OCDM over MLMD channels, under the assumption that path attenuation factors, delays, and Doppler shifts of the channel are available, we first derive the closed-form channel matrix in the Fresnel domain and then propose a low-complexity method to approximate it as a sparse matrix. Based on the approximated Fresnel-domain channel, we propose a message-passing (MP)-based detector to estimate the transmit symbols iteratively. Finally, under two MLMD channels (an underspread channel for terrestrial vehicular communications and an overspread channel for narrow-band underwater acoustic communications), Monte Carlo simulation results and analyses are provided to validate its advantages as a promising detector for OCDM.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/JIOT.2024.3387887</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-6698-583X</orcidid><orcidid>https://orcid.org/0000-0003-1549-3322</orcidid><orcidid>https://orcid.org/0000-0002-9376-7408</orcidid><orcidid>https://orcid.org/0000-0002-9638-7048</orcidid><orcidid>https://orcid.org/0000-0001-6788-0418</orcidid><orcidid>https://orcid.org/0000-0001-8373-9449</orcidid></addata></record> |
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subjects | Channels Chirp Code division multiplexing Doubly selective (DS) Message passing Monte Carlo simulation multiple lags and multiple Doppler shifts (MLMDs) Multiplexing OFDM orthogonal chirp division multiplexing (OCDM) overspread Receivers Sparse matrices Symbols time varying under spread underwater acoustic (UWA) communications Underwater acoustics Vectors vehicular communications Waveforms |
title | Message-Passing Receiver for OCDM in Vehicular Communications and Networks |
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