{"id":"https://openalex.org/W4200129196","doi":"https://doi.org/10.3233/faia210412","title":"Phase Tracking Sequences for 5G NR in 52.6-71 GHz Band: Design and Analysis","display_name":"Phase Tracking Sequences for 5G NR in 52.6-71 GHz Band: Design and Analysis","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4200129196","doi":"https://doi.org/10.3233/faia210412"},"language":"en","primary_location":{"id":"doi:10.3233/faia210412","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210412","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210412","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210412","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080357189","display_name":"Alexander Maltsev","orcid":"https://orcid.org/0000-0001-8694-0033"},"institutions":[{"id":"https://openalex.org/I125219893","display_name":"Saratov State University","ror":"https://ror.org/05jcsqx24","country_code":"RU","type":"education","lineage":["https://openalex.org/I125219893"]},{"id":"https://openalex.org/I99205534","display_name":"Yaroslav-the-Wise Novgorod State University","ror":"https://ror.org/04qzrw529","country_code":"RU","type":"education","lineage":["https://openalex.org/I99205534"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Alexander Maltsev","raw_affiliation_strings":["Nizhny Novgorod State University, Nizhny Novgorod, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nizhny Novgorod State University, Nizhny Novgorod, Russia","institution_ids":["https://openalex.org/I125219893","https://openalex.org/I99205534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020493579","display_name":"Andrey Pudeev","orcid":"https://orcid.org/0000-0002-6746-9685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrey Pudeev","raw_affiliation_strings":["LG Electronics Russia R&D Lab, Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LG Electronics Russia R&D Lab, Moscow, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101943878","display_name":"Seonwook Kim","orcid":"https://orcid.org/0000-0003-1922-4269"},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seonwook Kim","raw_affiliation_strings":["LG Electronics, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LG Electronics, Seoul, Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077415298","display_name":"Suckchel Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suckchel Yang","raw_affiliation_strings":["LG Electronics, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LG Electronics, Seoul, Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100874872","display_name":"Seunghwan Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seunghwan Choi","raw_affiliation_strings":["LG Electronics, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LG Electronics, Seoul, Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003691148","display_name":"Sechang Myung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sechang Myung","raw_affiliation_strings":["LG Electronics, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LG Electronics, Seoul, Korea","institution_ids":["https://openalex.org/I4210131320"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5080357189"],"corresponding_institution_ids":["https://openalex.org/I125219893","https://openalex.org/I99205534"],"apc_list":null,"apc_paid":null,"fwci":1.645,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85748771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.7527044415473938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6242465376853943},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5807728171348572},{"id":"https://openalex.org/keywords/phase-noise","display_name":"Phase noise","score":0.5761570334434509},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5625267028808594},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5386530756950378},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5318496227264404},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.5112102031707764},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46660396456718445},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4652109444141388},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.42813581228256226},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41896480321884155},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21922731399536133},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20157507061958313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16389593482017517},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12404215335845947},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07484772801399231}],"concepts":[{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.7527044415473938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6242465376853943},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5807728171348572},{"id":"https://openalex.org/C89631360","wikidata":"https://www.wikidata.org/wiki/Q1428766","display_name":"Phase noise","level":2,"score":0.5761570334434509},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5625267028808594},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5386530756950378},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5318496227264404},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.5112102031707764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46660396456718445},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4652109444141388},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.42813581228256226},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41896480321884155},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21922731399536133},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20157507061958313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16389593482017517},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12404215335845947},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07484772801399231},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia210412","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210412","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210412","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia210412","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210412","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210412","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200129196.pdf","grobid_xml":"https://content.openalex.org/works/W4200129196.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1487209805","https://openalex.org/W2041972069","https://openalex.org/W2108150289","https://openalex.org/W2887311043","https://openalex.org/W2907398436","https://openalex.org/W3016717960","https://openalex.org/W3022908749","https://openalex.org/W3110537587","https://openalex.org/W4206180546","https://openalex.org/W6806532002"],"related_works":["https://openalex.org/W2350951110","https://openalex.org/W2366905853","https://openalex.org/W2348976768","https://openalex.org/W2012305537","https://openalex.org/W2543075200","https://openalex.org/W2121583518","https://openalex.org/W4308591333","https://openalex.org/W2363110551","https://openalex.org/W2136997790","https://openalex.org/W2383219934"],"abstract_inverted_index":{"This":[0,98],"paper":[1],"presents":[2],"a":[3,29,140],"novel":[4],"approach":[5,93,99],"to":[6,26,33,59,94,107,111,154,174],"the":[7,20,42,52,60,68,77,82,90,95,104,108,115,118,143,147,150],"phase":[8,15,43,55,70],"tracking":[9],"reference":[10,109],"signal":[11],"(PTRS)":[12],"design":[13,128],"for":[14,76,189],"noise":[16,44,71],"impact":[17],"compensation":[18,45,58,72,170],"in":[19,28,81],"5G":[21,84],"NR":[22,85],"communication":[23],"systems":[24],"intended":[25],"work":[27],"new":[30,125],"52.6":[31],"GHz":[32,35],"71":[34],"frequency":[36],"band.":[37],"For":[38],"detailed":[39],"problem":[40],"illustration,":[41],"algorithms":[46,73,167],"are":[47],"discussed":[48],"and":[49,87,146,165,177],"explained,":[50],"from":[51],"basic":[53],"common":[54],"error":[56],"(CPE)":[57],"MMSE-base":[61],"inter-carrier":[62],"interference":[63],"(ICI)":[64],"filtering.":[65],"Performance":[66],"of":[67,114,149],"different":[69,179],"is":[74,100],"investigated":[75],"baseline":[78],"PTRS":[79,96,127,133,163],"accepted":[80],"current":[83],"specification":[86],"compared":[88],"with":[89],"newly":[91],"proposed":[92,162],"design.":[97],"based":[101],"on":[102,117],"nulling":[103,126],"subcarriers":[105],"adjacent":[106],"signals":[110],"minimize":[112],"influence":[113],"ICI":[116,169],"estimation":[119],"process.":[120],"It":[121,158],"was":[122,159],"shown":[123,160],"that":[124,161],"outperforms":[129],"currently":[130],"used":[131],"distributed":[132],"structure.":[134],"In":[135],"addition,":[136],"numerical":[137],"results":[138],"represent":[139],"trade-off":[141],"between":[142],"filter":[144],"size":[145],"amount":[148],"allocated":[151],"training":[152],"resources":[153],"achieve":[155],"better":[156],"performance.":[157],"structures":[164],"processing":[166],"give":[168],"level":[171],"very":[172],"close":[173],"optimal":[175],"scheme":[176],"thus,":[178],"approaches":[180],"(such":[181],"as":[182],"time":[183],"domain":[184],"compensation)":[185],"may":[186],"be":[187],"required":[188],"further":[190],"progress.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}
