{"id":"https://openalex.org/W2786433203","doi":"https://doi.org/10.1109/pimrc.2017.8292290","title":"2-Step phase rotation estimation for Low-PAPR signal transmission using blind selected mapping","display_name":"2-Step phase rotation estimation for Low-PAPR signal transmission using blind selected mapping","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2786433203","doi":"https://doi.org/10.1109/pimrc.2017.8292290","mag":"2786433203"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2017.8292290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2017.8292290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","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":0.7167,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74280515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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":0.9998000264167786,"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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.7151116728782654},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.6810773015022278},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6774523258209229},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.6063525676727295},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.6025264263153076},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5466232895851135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5434726476669312},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.4889761209487915},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4743693768978119},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43113529682159424},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.42582952976226807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38624516129493713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24539443850517273},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18426525592803955},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.09445610642433167},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08175510168075562},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06503912806510925}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.7151116728782654},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.6810773015022278},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6774523258209229},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.6063525676727295},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.6025264263153076},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5466232895851135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5434726476669312},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.4889761209487915},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4743693768978119},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43113529682159424},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.42582952976226807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38624516129493713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24539443850517273},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18426525592803955},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.09445610642433167},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08175510168075562},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06503912806510925},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2017.8292290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2017.8292290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1503306887","https://openalex.org/W1527197079","https://openalex.org/W1991133427","https://openalex.org/W2055112385","https://openalex.org/W2104376808","https://openalex.org/W2108812909","https://openalex.org/W2126341321","https://openalex.org/W2139670996","https://openalex.org/W2163172977","https://openalex.org/W2503426009","https://openalex.org/W2603493121","https://openalex.org/W4298227433","https://openalex.org/W6630124935"],"related_works":["https://openalex.org/W2293149949","https://openalex.org/W2026099691","https://openalex.org/W4284672201","https://openalex.org/W2377486419","https://openalex.org/W2943202426","https://openalex.org/W2736714427","https://openalex.org/W2133008004","https://openalex.org/W2011867735","https://openalex.org/W2101322133","https://openalex.org/W4317418808"],"abstract_inverted_index":{"Blind":[0],"selected":[1],"mapping":[2],"(blind":[3],"SLM)":[4],"can":[5],"effectively":[6],"reduce":[7],"the":[8,39,46,75,78,83,91,95,112,116,121,125,144,149,155,160],"peak-to-average":[9],"power":[10],"ratio":[11],"(PAPR)":[12],"of":[13],"both":[14],"orthogonal":[15],"frequency":[16],"division":[17],"multiplexing":[18],"(OFDM)":[19],"and":[20,99,148],"single-carrier":[21],"(SC)":[22],"signals":[23],"without":[24,146],"side-information":[25],"transmission.":[26],"In":[27,60,74,94],"typical":[28],"blind":[29,72,152],"SLM,":[30],"maximum":[31],"likelihood":[32],"(ML)":[33],"estimation":[34,69,138,162],"is":[35,87,129],"applied":[36],"to":[37,104,143],"find":[38],"de-mapping":[40],"phase":[41,79,107],"rotation":[42,80,108],"sequence":[43,81,109,123],"which":[44,114],"gives":[45],"lowest":[47,84,117],"Euclidean":[48,85],"distance":[49,86,119],"among":[50],"all":[51],"possible":[52],"sequences,":[53],"resulting":[54],"in":[55,111,124],"very":[56],"high":[57],"computational":[58],"complexity.":[59,167],"this":[61],"paper,":[62],"we":[63],"introduce":[64],"a":[65,106],"novel":[66],"low-complexity":[67],"2-step":[68,137],"suitable":[70],"for":[71],"SLM.":[73],"first":[76,126],"step,":[77,97],"achieving":[82],"searched":[88],"by":[89,131],"using":[90],"Viterbi":[92],"algorithm.":[93],"second":[96],"verification":[98],"correction":[100],"are":[101],"carried":[102],"out":[103],"choose":[105],"stored":[110],"codebook,":[113],"has":[115],"Hamming":[118],"from":[120],"estimated":[122],"step.":[127],"It":[128],"confirmed":[130],"computer":[132],"simulation":[133],"that":[134],"our":[135],"proposed":[136,161],"achieves":[139],"similar":[140],"BER":[141],"performance":[142],"transmission":[145,150],"SLM":[147,153],"with":[151,154],"conventional":[156],"ML":[157],"estimation,":[158],"but":[159],"technique":[163],"requires":[164],"much":[165],"less":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
