{"id":"https://openalex.org/W2940048699","doi":"https://doi.org/10.1109/vtcfall.2018.8690569","title":"A Low-Complexity Phase Rotation Estimation Using Fourth-Power Constellation for Blind SLM","display_name":"A Low-Complexity Phase Rotation Estimation Using Fourth-Power Constellation for Blind SLM","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2940048699","doi":"https://doi.org/10.1109/vtcfall.2018.8690569","mag":"2940048699"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2018.8690569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008659265","display_name":"Amnart Boonkajay","orcid":"https://orcid.org/0000-0002-2400-2225"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Amnart Boonkajay","raw_affiliation_strings":["Research Organization of Electrical Communication (ROEC), Tohoku University, Sendai, Miyagi, Japan"],"affiliations":[{"raw_affiliation_string":"Research Organization of Electrical Communication (ROEC), Tohoku University, Sendai, Miyagi, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011281064","display_name":"Fumiyuki Adachi","orcid":"https://orcid.org/0000-0002-5416-0718"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumiyuki Adachi","raw_affiliation_strings":["Research Organization of Electrical Communication (ROEC), Tohoku University, Sendai, Miyagi, Japan"],"affiliations":[{"raw_affiliation_string":"Research Organization of Electrical Communication (ROEC), Tohoku University, Sendai, Miyagi, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008659265"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":0.2575,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60090879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":1.0,"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/T11873","display_name":"PAPR reduction in OFDM","score":1.0,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9994999766349792,"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/T10232","display_name":"Optical Network Technologies","score":0.9986000061035156,"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/euclidean-distance","display_name":"Euclidean distance","score":0.7303305864334106},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6901201605796814},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.6868645548820496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6730735301971436},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5832024216651917},{"id":"https://openalex.org/keywords/constellation","display_name":"Constellation","score":0.5515565276145935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5064440965652466},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.49088531732559204},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.48050105571746826},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.46260154247283936},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4512478709220886},{"id":"https://openalex.org/keywords/constellation-diagram","display_name":"Constellation diagram","score":0.4356253147125244},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4331547021865845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40510693192481995},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23466584086418152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19165074825286865},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.14821302890777588}],"concepts":[{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.7303305864334106},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6901201605796814},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.6868645548820496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6730735301971436},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5832024216651917},{"id":"https://openalex.org/C70352696","wikidata":"https://www.wikidata.org/wiki/Q8928","display_name":"Constellation","level":2,"score":0.5515565276145935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5064440965652466},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.49088531732559204},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.48050105571746826},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.46260154247283936},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4512478709220886},{"id":"https://openalex.org/C185837786","wikidata":"https://www.wikidata.org/wiki/Q1782940","display_name":"Constellation diagram","level":4,"score":0.4356253147125244},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4331547021865845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40510693192481995},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23466584086418152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19165074825286865},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.14821302890777588},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2018.8690569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1503306887","https://openalex.org/W1527197079","https://openalex.org/W1968037343","https://openalex.org/W2126341321","https://openalex.org/W2163172977","https://openalex.org/W2164664877","https://openalex.org/W2561260188","https://openalex.org/W2603493121","https://openalex.org/W2795812799","https://openalex.org/W4298227433","https://openalex.org/W6630124935","https://openalex.org/W6730315383"],"related_works":["https://openalex.org/W2082947723","https://openalex.org/W2162782586","https://openalex.org/W1600065361","https://openalex.org/W4289337235","https://openalex.org/W2314551182","https://openalex.org/W2543197208","https://openalex.org/W4384919582","https://openalex.org/W2106057402","https://openalex.org/W4229045008","https://openalex.org/W2369894818"],"abstract_inverted_index":{"Blind":[0],"selected":[1],"mapping":[2],"(blind":[3],"SLM)":[4],"is":[5,27,44],"an":[6],"effective":[7],"peak-to-average":[8],"power":[9],"ratio":[10],"(PAPR)":[11],"reduction":[12],"technique,":[13],"in":[14,82],"which":[15,20,49],"the":[16,25,34,40,47,66,71,112,123,133,137,145],"phase":[17,60,96,125],"rotation":[18,61,97,126],"sequence":[19,62,128],"has":[21],"been":[22],"used":[23,45],"at":[24],"transmitter":[26],"blindly":[28],"estimated.":[29],"The":[30,74],"Euclidean":[31,68,84],"distance":[32,69,85],"between":[33],"received":[35],"symbols":[36],"after":[37],"de-mapping":[38],"and":[39,87,114,127],"original":[41],"QAM":[42],"constellation":[43,78],"for":[46,144],"estimation,":[48],"requires":[50],"high":[51,116],"computational":[52],"complexity.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57],"introduce":[58],"a":[59],"estimation":[63,117,129],"based":[64],"on":[65],"minimum":[67,83],"of":[70,76,95],"fourth-power":[72,77],"constellation.":[73],"use":[75],"reduces":[79],"symbol":[80],"candidates":[81],"calculation":[86],"hence,":[88],"contributes":[89],"to":[90,109],"complexity":[91,113,134],"reduction.":[92,148],"A":[93],"set":[94],"sequences":[98],"constructed":[99],"by":[100],"random":[101],"selection":[102],"from":[103],"{0\u00b0,":[104],"135\u00b0}":[105],"are":[106],"also":[107],"introduced":[108],"further":[110],"reduce":[111,132],"maintain":[115],"accuracy.":[118],"Simulation":[119],"result":[120],"confirms":[121],"that":[122],"proposed":[124],"technique":[130],"can":[131],"without":[135],"degrading":[136],"uncoded":[138],"bit":[139],"error":[140],"rate":[141],"(BER)":[142],"performance":[143],"given":[146],"PAPR":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}