{"id":"https://openalex.org/W4409248265","doi":"https://doi.org/10.1109/icct62411.2024.10946441","title":"An improved Combination Algorithm for Tone Reservation and Active Constellation Extension Based on Least Squares Approximation","display_name":"An improved Combination Algorithm for Tone Reservation and Active Constellation Extension Based on Least Squares Approximation","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4409248265","doi":"https://doi.org/10.1109/icct62411.2024.10946441"},"language":"en","primary_location":{"id":"doi:10.1109/icct62411.2024.10946441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct62411.2024.10946441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Communication Technology (ICCT)","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/A5007181965","display_name":"Fengyuan Guo","orcid":"https://orcid.org/0000-0002-9097-0101"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fengyuan Guo","raw_affiliation_strings":["Xidian University,School of Communication Engineering,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Communication Engineering,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108555293","display_name":"J.-W. He","orcid":"https://orcid.org/0009-0002-1423-0467"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying He","raw_affiliation_strings":["Xidian University,School of Communication Engineering,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Communication Engineering,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101801345","display_name":"Yujie Zhou","orcid":"https://orcid.org/0009-0005-3314-702X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Zhou","raw_affiliation_strings":["Xidian University,School of Communication Engineering,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Communication Engineering,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101812391","display_name":"Jianhua Ge","orcid":"https://orcid.org/0000-0003-4565-6188"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Ge","raw_affiliation_strings":["Xidian University,School of Communication Engineering,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Communication Engineering,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007181965"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59782054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1131","last_page":"1135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9456999897956848,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/constellation","display_name":"Constellation","score":0.748856246471405},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.6552776098251343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6189846992492676},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.5767182111740112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4786302149295807},{"id":"https://openalex.org/keywords/reservation","display_name":"Reservation","score":0.4412713646888733},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.417447030544281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4138396382331848},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15918701887130737},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0933607816696167}],"concepts":[{"id":"https://openalex.org/C70352696","wikidata":"https://www.wikidata.org/wiki/Q8928","display_name":"Constellation","level":2,"score":0.748856246471405},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.6552776098251343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6189846992492676},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.5767182111740112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4786302149295807},{"id":"https://openalex.org/C2777632111","wikidata":"https://www.wikidata.org/wiki/Q1937518","display_name":"Reservation","level":2,"score":0.4412713646888733},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.417447030544281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4138396382331848},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15918701887130737},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0933607816696167},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/icct62411.2024.10946441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct62411.2024.10946441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Communication Technology (ICCT)","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":11,"referenced_works":["https://openalex.org/W1964294265","https://openalex.org/W2063011342","https://openalex.org/W2105656385","https://openalex.org/W2169839200","https://openalex.org/W2743771077","https://openalex.org/W2953076184","https://openalex.org/W3091060639","https://openalex.org/W4200326295","https://openalex.org/W4206282790","https://openalex.org/W4285814025","https://openalex.org/W4391742852"],"related_works":["https://openalex.org/W2801080295","https://openalex.org/W2502457263","https://openalex.org/W2379215383","https://openalex.org/W4322709807","https://openalex.org/W2271928667","https://openalex.org/W2901245944","https://openalex.org/W246884077","https://openalex.org/W4377967113","https://openalex.org/W3210156514","https://openalex.org/W2387553833"],"abstract_inverted_index":{"An":[0],"important":[1],"drawback":[2],"of":[3],"Orthogonal":[4],"Frequency":[5],"Division":[6],"Multiplexing":[7],"(OFDM)":[8],"systems":[9],"is":[10],"the":[11,37,73,81,101,106],"high":[12],"Peak":[13],"Average":[14],"Power":[15],"Ratio":[16],"(PAPR).":[17],"Among":[18],"various":[19],"PAPR":[20,107],"reduction":[21],"techniques,":[22],"probabilistic":[23],"methods":[24,34],"are":[25],"widely":[26],"used":[27],"due":[28],"to":[29,108],"their":[30],"non-distortion":[31],"characteristics.":[32],"These":[33],"primarily":[35],"disrupt":[36],"phase":[38],"coherence":[39],"between":[40],"subcarriers":[41],"by":[42],"using":[43],"additional":[44],"data.":[45],"This":[46],"paper":[47],"proposes":[48],"a":[49],"combined":[50],"optimization":[51],"algorithm":[52,79,103],"named":[53],"Least":[54,74,82],"Squares":[55,75,83],"Approximation":[56,84],"-":[57,60,64,85,89],"Tone":[58],"Reservation":[59,77],"Active":[61,86],"Constellation":[62,87],"Extension":[63,88],"Projection":[65,90],"onto":[66,91],"Convex":[67,92],"Sets":[68,93],"(LSA-TR-ACE-POCS)":[69],"algorithm,":[70],"which":[71,120],"combines":[72],"Approximation-Tone":[76],"(LSA-TR)":[78],"with":[80,111],"(LSA-ACE-POCS)":[94],"algorithm.":[95],"The":[96],"simulation":[97],"results":[98],"demonstrate":[99],"that":[100],"LSA-TR-ACE-POCS":[102],"can":[104],"reduce":[105],"about":[109],"6dB":[110],"low":[112,115],"complexity":[113],"and":[114],"Bit":[116],"Error":[117],"Rate":[118],"(BER),":[119],"has":[121],"practical":[122],"application":[123],"significance":[124],"in":[125],"engineering.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
