{"id":"https://openalex.org/W2997636314","doi":"https://doi.org/10.1109/icct46805.2019.8947210","title":"Dynamic Multi-user Detection Scheme Based on CVA-SSAOMP Algorithm in Uplink Grant-Free NOMA","display_name":"Dynamic Multi-user Detection Scheme Based on CVA-SSAOMP Algorithm in Uplink Grant-Free NOMA","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2997636314","doi":"https://doi.org/10.1109/icct46805.2019.8947210","mag":"2997636314"},"language":"en","primary_location":{"id":"doi:10.1109/icct46805.2019.8947210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct46805.2019.8947210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 19th 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/A5100410037","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-9718-9748"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069090202","display_name":"Shichao Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Bai","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050998556","display_name":"Lei Xu","orcid":"https://orcid.org/0000-0001-7026-9310"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xu","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101665097","display_name":"Hongwei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107908703","display_name":"Hongyu Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Fang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022510153","display_name":"Xiaohui Li","orcid":"https://orcid.org/0000-0003-3036-7105"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Li","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100410037"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.1192,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49232554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"593","last_page":"598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","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/T11458","display_name":"Advanced Wireless Communication Technologies","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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10851","display_name":"Optical Wireless Communication Technologies","score":0.9909999966621399,"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/computer-science","display_name":"Computer science","score":0.7497072219848633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6667246222496033},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.664268970489502},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5356075167655945},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5128779411315918},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4625090956687927},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.44199782609939575},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.4390407204627991},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.43297863006591797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22655311226844788},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13218340277671814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7497072219848633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6667246222496033},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.664268970489502},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5356075167655945},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5128779411315918},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4625090956687927},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.44199782609939575},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.4390407204627991},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.43297863006591797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22655311226844788},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13218340277671814},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct46805.2019.8947210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct46805.2019.8947210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1922937245","https://openalex.org/W2009159860","https://openalex.org/W2075506710","https://openalex.org/W2078804453","https://openalex.org/W2114103671","https://openalex.org/W2289565584","https://openalex.org/W2320998982","https://openalex.org/W2344857408","https://openalex.org/W2548516812","https://openalex.org/W2736187992","https://openalex.org/W2787376805","https://openalex.org/W2886607625","https://openalex.org/W2964188550"],"related_works":["https://openalex.org/W2098521117","https://openalex.org/W2465351041","https://openalex.org/W4385694579","https://openalex.org/W2340242818","https://openalex.org/W4300881421","https://openalex.org/W2103001330","https://openalex.org/W4319793311","https://openalex.org/W2241396314","https://openalex.org/W2262109992","https://openalex.org/W2012574959"],"abstract_inverted_index":{"In":[0],"the":[1,10,14,22,31,35,39,43,61,67,108,119,123,128,140,146,159,181,187,191,197,207],"uplink":[2],"grant-free":[3],"non-orthogonal":[4],"multiple":[5],"access":[6],"(NOMA)":[7],"scenario,":[8],"since":[9],"active":[11,36,143,194],"user":[12,37,144,195],"at":[13],"sender":[15],"has":[16,206],"a":[17,113],"structured":[18,81,109],"sparsity":[19,51,82,110,141,175,192],"transmission":[20],"characteristic,":[21],"compressive":[23,45],"sensing":[24,46],"recovery":[25,47],"algorithm":[26,68,75,106,169,183],"is":[27,88,135],"initially":[28],"applied":[29],"to":[30,90,137],"joint":[32],"detection":[33,93],"of":[34,99,130,142,149,190,193,199,209],"and":[38,117,132,170,196,205],"transmitted":[40],"data.":[41],"However,":[42],"existing":[44],"algorithms":[48],"with":[49,158],"unknown":[50],"often":[52],"require":[53],"noise":[54],"power":[55],"or":[56],"signal-to-noise":[57],"ratio":[58,203],"(SNR)":[59],"as":[60],"priori":[62,120],"conditions,":[63],"which":[64],"greatly":[65],"reduces":[66],"adaptability":[69],"in":[70,94,127],"multi-user":[71,92],"detection.":[72],"Therefore,":[73],"an":[74],"based":[76],"on":[77],"cross":[78,124,150,171],"validation":[79,125,172],"aided":[80,173],"adaptive":[83,176],"orthogonal":[84,161],"matching":[85,162],"pursuit":[86,163,167,178],"(CVA-SSAOMP)":[87],"proposed":[89,105,182],"realize":[91],"dynamic":[95],"change":[96],"communication":[97],"scenario":[98],"channel":[100],"state":[101],"information":[102],"(CSI).":[103],"The":[104,152],"transforms":[107],"model":[111],"into":[112],"block":[114,174],"sparse":[115],"model,":[116],"without":[118],"conditions":[121],"above,":[122],"method":[126],"field":[129],"statistics":[131],"machine":[133],"learning":[134],"used":[136],"adaptively":[138],"estimate":[139],"through":[145],"residual":[147],"update":[148],"validation.":[151],"simulation":[153],"results":[154],"show":[155],"that,":[156],"compared":[157],"traditional":[160],"(OMP)":[164],"algorithm,":[165,180],"subspace":[166,177],"(SP)":[168],"(CVA-BSASP)":[179],"can":[184],"effectively":[185],"improve":[186],"accurate":[188],"estimation":[189],"performance":[198],"system":[200],"bit":[201],"error":[202],"(BER),":[204],"advantage":[208],"low-complexity.":[210]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}