{"id":"https://openalex.org/W2080796992","doi":"https://doi.org/10.1109/glocom.2014.7037412","title":"A low-complexity rate compatible modulation via variable weight sets","display_name":"A low-complexity rate compatible modulation via variable weight sets","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2080796992","doi":"https://doi.org/10.1109/glocom.2014.7037412","mag":"2080796992"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2014.7037412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2014.7037412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044278032","display_name":"Wengui Rao","orcid":"https://orcid.org/0000-0002-7846-6682"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wengui Rao","raw_affiliation_strings":["Department of Electronics and Information Engineering","Science and Technology on Multi-spectral Information Processing Laboratory, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering","institution_ids":[]},{"raw_affiliation_string":"Science and Technology on Multi-spectral Information Processing Laboratory, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036390055","display_name":"Fang Lu","orcid":"https://orcid.org/0000-0002-9491-4895"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang Lu","raw_affiliation_strings":["Department of Electronics and Information Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016691528","display_name":"Shaoping Clien","orcid":null},"institutions":[{"id":"https://openalex.org/I174442536","display_name":"South Central Minzu University","ror":"https://ror.org/03d7sax13","country_code":"CN","type":"education","lineage":["https://openalex.org/I174442536"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoping Clien","raw_affiliation_strings":["South-Central University for Nationalities, Wuhan, Hubei, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South-Central University for Nationalities, Wuhan, Hubei, CN","institution_ids":["https://openalex.org/I174442536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056041589","display_name":"Yan Dong","orcid":"https://orcid.org/0000-0002-9512-6903"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Dong","raw_affiliation_strings":["Department of Electronics and Information Engineering","Science and Technology on Multi-spectral Information Processing Laboratory, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering","institution_ids":[]},{"raw_affiliation_string":"Science and Technology on Multi-spectral Information Processing Laboratory, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115599132","display_name":"Wang Shu","orcid":"https://orcid.org/0009-0008-6003-9317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shu Wang","raw_affiliation_strings":["Department of Electronics and Information Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.55550493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3874","last_page":"3879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9998000264167786,"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/T11458","display_name":"Advanced Wireless Communication Technologies","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"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7970633506774902},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.7070847749710083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6173961758613586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6141578555107117},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.542798638343811},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.48767244815826416},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4595642685890198},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44778335094451904},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42608463764190674},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4138606786727905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3331448435783386},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18282753229141235}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7970633506774902},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.7070847749710083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6173961758613586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6141578555107117},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.542798638343811},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.48767244815826416},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4595642685890198},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44778335094451904},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42608463764190674},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4138606786727905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3331448435783386},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18282753229141235},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2014.7037412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2014.7037412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W51541605","https://openalex.org/W1980195472","https://openalex.org/W1981247656","https://openalex.org/W2045099270","https://openalex.org/W2046172531","https://openalex.org/W2048015214","https://openalex.org/W2079098576","https://openalex.org/W2100359132","https://openalex.org/W2101335497","https://openalex.org/W2125136478","https://openalex.org/W2128765501","https://openalex.org/W2133068391","https://openalex.org/W2135859872","https://openalex.org/W2160923845","https://openalex.org/W2293181060","https://openalex.org/W2478708596","https://openalex.org/W4251892732","https://openalex.org/W4300188436","https://openalex.org/W6661897965"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"Rate":[0],"Compatible":[1],"Modulation":[2],"(RCM)":[3],"had":[4],"been":[5,47],"shown":[6],"to":[7,62],"be":[8,200],"capable":[9],"of":[10,33,98,102,123,132,177,195,207],"achieving":[11],"smooth":[12],"rate":[13,95],"adjustment":[14],"in":[15,27,117,165,188],"highly":[16],"dynamic":[17],"channel":[18,83],"scenarios.":[19],"However,":[20],"there":[21],"still":[22],"exist":[23],"two":[24],"main":[25],"problems":[26],"RCM:":[28],"(1)":[29],"The":[30,50],"theoretical":[31,93],"bound":[32,97],"the":[34,39,63,71,92,103,120,127,130,156,174,178,192,196,208,213,218],"achievable":[35,94,121],"rate,":[36],"which":[37],"is":[38,150,222],"benchmark":[40],"for":[41,54,78,129],"practical":[42],"RCM":[43,55,99,124,144],"design,":[44],"has":[45],"not":[46],"obtained.":[48],"(2)":[49],"iterative":[51],"decoding":[52,80,166,220],"algorithm":[53,167],"have":[56],"a":[57,142],"high":[58],"computational":[59,175,193],"complexity":[60,176,194],"due":[61],"long":[64],"weight":[65,136,147],"set":[66],"with":[67,145,205],"large":[68,133],"value":[69],"and":[70,108,111,162,172,184],"much":[72],"more":[73],"symbols":[74],"required":[75],"by":[76,202],"receiver":[77],"successful":[79],"under":[81],"poor":[82],"conditions.":[84],"To":[85],"tackle":[86],"these":[87],"problems,":[88],"Firstly,":[89],"we":[90,154,180],"get":[91],"upper":[96],"via":[100],"analysis":[101,183],"mutual":[104],"information":[105,163],"between":[106,159],"transmitted":[107],"received":[109],"symbols,":[110],"obtain":[112],"an":[113],"important":[114],"result,":[115,141],"i.e.,":[116],"low":[118,189],"SNR,":[119],"rates":[122],"are":[125],"completely":[126],"same":[128,214],"cases":[131],"or":[134],"small":[135],"sets.":[137],"Based":[138],"on":[139,169],"this":[140],"low-complexity":[143],"variable":[146],"sets":[148],"(RCM-VWS)":[149],"proposed.":[151,181],"In":[152],"addition,":[153],"investigate":[155],"messages":[157],"relationship":[158],"symbol":[160],"nodes":[161,164],"based":[168],"Bayesian":[170],"interference":[171],"analyze":[173],"RCM-VWS":[179],"Theoretical":[182],"simulations":[185],"show":[186],"that,":[187],"SNR":[190],"(<8dB),":[191],"proposed":[197],"scheme":[198],"can":[199],"reduced":[201],"95%":[203],"compared":[204],"that":[206],"conventional":[209],"RCM,":[210],"while":[211],"preserving":[212],"BER":[215],"performance.":[216],"So":[217],"average":[219],"efficiency":[221],"improved":[223],"significantly.":[224]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
