{"id":"https://openalex.org/W4416513095","doi":"https://doi.org/10.1109/jiot.2025.3635877","title":"Low-Complexity Noncoherent MOCZ Detection Based on the Genetic Algorithm for Short-Packet Communication","display_name":"Low-Complexity Noncoherent MOCZ Detection Based on the Genetic Algorithm for Short-Packet Communication","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W4416513095","doi":"https://doi.org/10.1109/jiot.2025.3635877"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3635877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3635877","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5032559410","display_name":"Kaixin Yang","orcid":"https://orcid.org/0009-0006-6247-8220"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaixin Yang","raw_affiliation_strings":["Naval University of Engineering, Wuhan, China","School of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]},{"raw_affiliation_string":"School of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111887758","display_name":"Gaoqi Dou","orcid":"https://orcid.org/0009-0005-6434-7470"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoqi Dou","raw_affiliation_strings":["Naval University of Engineering, Wuhan, China","School of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]},{"raw_affiliation_string":"School of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109439128","display_name":"Jin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Chen","raw_affiliation_strings":["Naval University of Engineering, Wuhan, China","School of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]},{"raw_affiliation_string":"School of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057308968","display_name":"Xiaohu Ge","orcid":"https://orcid.org/0000-0002-3204-5241"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaohu Ge","raw_affiliation_strings":["School of Electronic Information and Communications and the National International Joint Research Center of Green Communications and Networking, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications and the National International Joint Research Center of Green Communications and Networking, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I90023481"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032559410"],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37916534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"4","first_page":"6550","last_page":"6563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.6139000058174133,"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":0.6139000058174133,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.1264999955892563,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.03350000083446503,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/detector","display_name":"Detector","score":0.7825000286102295},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.5128999948501587},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.4916999936103821},{"id":"https://openalex.org/keywords/hermitian-matrix","display_name":"Hermitian matrix","score":0.4124000072479248},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.40630000829696655},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.3946000039577484},{"id":"https://openalex.org/keywords/cholesky-decomposition","display_name":"Cholesky decomposition","score":0.38989999890327454},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.35179999470710754},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.33230000734329224}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7825000286102295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6757000088691711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516000032424927},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.5128999948501587},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.4916999936103821},{"id":"https://openalex.org/C94940","wikidata":"https://www.wikidata.org/wiki/Q652941","display_name":"Hermitian matrix","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.40630000829696655},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.3946000039577484},{"id":"https://openalex.org/C34727166","wikidata":"https://www.wikidata.org/wiki/Q515375","display_name":"Cholesky decomposition","level":3,"score":0.38989999890327454},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.3188000023365021},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.3127000033855438},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.30630001425743103},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.3057999908924103},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C97812054","wikidata":"https://www.wikidata.org/wiki/Q2166055","display_name":"Intersymbol interference","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C130319729","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Soft output Viterbi algorithm","level":5,"score":0.27790001034736633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27320000529289246},{"id":"https://openalex.org/C70352696","wikidata":"https://www.wikidata.org/wiki/Q8928","display_name":"Constellation","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26570001244544983},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2615000009536743}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3635877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3635877","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1966411596","https://openalex.org/W2162232298","https://openalex.org/W2968133971","https://openalex.org/W3043260369","https://openalex.org/W3158087959","https://openalex.org/W3191012694","https://openalex.org/W3207569489","https://openalex.org/W4283704915","https://openalex.org/W4323354616","https://openalex.org/W4384080789","https://openalex.org/W4385191358","https://openalex.org/W4387448527","https://openalex.org/W4389152144","https://openalex.org/W4389610164","https://openalex.org/W4390754947","https://openalex.org/W4391611869","https://openalex.org/W4392935465","https://openalex.org/W4394573425","https://openalex.org/W4396599145","https://openalex.org/W4396881125","https://openalex.org/W4399110633","https://openalex.org/W4400258200","https://openalex.org/W4401946177","https://openalex.org/W4403971340","https://openalex.org/W4406158148","https://openalex.org/W4407717793","https://openalex.org/W4408318686","https://openalex.org/W4408571517","https://openalex.org/W4409356696"],"related_works":[],"abstract_inverted_index":{"This":[0,25],"study":[1,26],"proposes":[2],"a":[3,40],"low-complexity":[4],"genetic":[5,78],"algorithm-based":[6],"(LC-GA)":[7],"detector":[8,38,130,142,182],"to":[9,59,110,193,219],"achieve":[10,132],"the":[11,30,34,51,60,68,73,128,140,148,158,179,184,194,209,220],"complexity-accuracy":[12],"trade-off":[13],"in":[14,33],"non-coherent":[15],"short-packet":[16],"communication":[17],"(SPC)":[18],"employing":[19],"modulation":[20],"on":[21],"conjugate-reciprocal":[22],"zeros":[23],"(MOCZ).":[24],"rigorously":[27],"proves":[28],"that":[29,117],"inverse":[31],"matrix":[32,55,63],"maximum":[35],"likelihood":[36],"(ML)":[37],"is":[39,57,106,204],"Hermitian":[41],"positive":[42],"definite":[43],"matrix.":[44],"In":[45],"addition,":[46],"by":[47,187],"exploiting":[48],"Cholesky":[49],"decomposition,":[50],"computationally":[52,205],"intensive":[53],"full":[54],"inversion":[56],"reduced":[58],"lower":[61],"triangular":[62],"inversion,":[64],"thus":[65],"significantly":[66],"decreasing":[67],"fitness":[69],"function\u2019s":[70],"complexity":[71],"under":[72],"ML":[74,141,195],"criterion.":[75],"The":[76,114],"proposed":[77,180],"algorithm":[79],"(GA)":[80],"incorporates":[81],"tailored":[82],"crossover":[83],"and":[84,92,154,160,203,215],"mutation":[85],"operators":[86],"combined":[87],"with":[88,143],"an":[89],"elitism":[90],"strategy":[91],"achieves":[93],"optimal":[94],"detection":[95],"accuracy":[96],"without":[97],"exhaustive":[98],"search.":[99],"Further,":[100],"single-input":[101],"multiple-output":[102],"(SIMO)":[103],"diversity":[104],"reception":[105],"validated":[107],"through":[108],"simulations":[109],"combat":[111],"frequency-selective":[112],"fading.":[113],"results":[115],"demonstrate":[116],"for":[118,173],"transmitted":[119],"data":[120],"length":[121],"of":[122,151,190,212],"<italic":[123,174],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[124,169,175,200,227],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">K</i>":[125,176],"=":[126,167,177,225],"16,":[127],"LC-GA":[129,181],"can":[131],"identical":[133],"bit":[134],"error":[135],"rate":[136],"(BER)":[137],"performance":[138],"as":[139],"88%":[144],"fewer":[145],"iterations,":[146],"yielding":[147],"SNR":[149,210],"improvements":[150,211],"0.5":[152,213],"dB":[153,156,214,217],"1.2":[155],"over":[157],"Viterbi":[159],"direct":[161],"zero-testing":[162],"(DiZeT)":[163],"detectors":[164,222],"at":[165,223],"BER":[166,224],"10<sup":[168,199,226],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u22123</sup>,":[170],"respectively.":[171],"Similarly,":[172],"32,":[178],"reduces":[183],"iteration":[185],"number":[186],"six":[188],"orders":[189],"magnitude":[191],"compared":[192,218],"detector,":[196],"which":[197],"requires":[198],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">10</sup>":[201],"iterations":[202],"prohibitive,":[206],"while":[207],"maintaining":[208],"1.3":[216],"existing":[221],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u22123</sup>.":[228]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-23T00:00:00"}
