{"id":"https://openalex.org/W2920136788","doi":"https://doi.org/10.1109/infocom.2019.8737397","title":"Robust and Efficient Modulation Recognition Based on Local Sequential IQ Features","display_name":"Robust and Efficient Modulation Recognition Based on Local Sequential IQ Features","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2920136788","doi":"https://doi.org/10.1109/infocom.2019.8737397","mag":"2920136788"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2019.8737397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2019.8737397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications","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/A5101760811","display_name":"Wei Xiong","orcid":"https://orcid.org/0000-0002-1399-5559"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Xiong","raw_affiliation_strings":["Department of Computer Science, University at Albany \u2013 SUNY"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University at Albany \u2013 SUNY","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001272357","display_name":"Petko Bogdanov","orcid":"https://orcid.org/0000-0001-6310-3224"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petko Bogdanov","raw_affiliation_strings":["Department of Computer Science, University at Albany \u2013 SUNY"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University at Albany \u2013 SUNY","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055229467","display_name":"Mariya Zheleva","orcid":"https://orcid.org/0000-0001-9101-873X"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mariya Zheleva","raw_affiliation_strings":["Department of Computer Science, University at Albany \u2013 SUNY"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University at Albany \u2013 SUNY","institution_ids":["https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101760811"],"corresponding_institution_ids":["https://openalex.org/I392282"],"apc_list":null,"apc_paid":null,"fwci":2.6603,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92147322,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1612","last_page":"1620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9185000061988831,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.7994697093963623},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.7037302255630493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5474454164505005},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5396407246589661},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4709763526916504},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.4539083242416382},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.44860413670539856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43921196460723877},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4184388518333435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3453654944896698},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22042882442474365},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.10681778192520142},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09771126508712769}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7994697093963623},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.7037302255630493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5474454164505005},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5396407246589661},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4709763526916504},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.4539083242416382},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.44860413670539856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43921196460723877},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4184388518333435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3453654944896698},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22042882442474365},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.10681778192520142},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09771126508712769},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2019.8737397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2019.8737397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1533946607","https://openalex.org/W1606858007","https://openalex.org/W1880555763","https://openalex.org/W1965842222","https://openalex.org/W1966385142","https://openalex.org/W1995288812","https://openalex.org/W2005956500","https://openalex.org/W2017214807","https://openalex.org/W2027805700","https://openalex.org/W2048654658","https://openalex.org/W2066941820","https://openalex.org/W2092904426","https://openalex.org/W2103192447","https://openalex.org/W2112020727","https://openalex.org/W2114570910","https://openalex.org/W2119821739","https://openalex.org/W2125242600","https://openalex.org/W2128638419","https://openalex.org/W2146373440","https://openalex.org/W2166473218","https://openalex.org/W2170778725","https://openalex.org/W2470230726","https://openalex.org/W2484071415","https://openalex.org/W2526456701","https://openalex.org/W2546625419","https://openalex.org/W2548159479","https://openalex.org/W2612501136","https://openalex.org/W2618148351","https://openalex.org/W2741230443","https://openalex.org/W2763396707","https://openalex.org/W2773170971","https://openalex.org/W2791430318","https://openalex.org/W2953139536","https://openalex.org/W2963547958","https://openalex.org/W3104028856","https://openalex.org/W4239510810","https://openalex.org/W6632118081","https://openalex.org/W6677233944","https://openalex.org/W6678757208","https://openalex.org/W6684116732"],"related_works":["https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W4287995534","https://openalex.org/W2743258233","https://openalex.org/W2285052147","https://openalex.org/W2998168123","https://openalex.org/W1972656095","https://openalex.org/W2970216048"],"abstract_inverted_index":{"Modulation":[0],"recognition":[1,28,113,140,211],"plays":[2],"a":[3,58,72,135,163,229,233,246],"key":[4],"role":[5],"in":[6,45,170,219,245],"emerging":[7],"spectrum":[8,11,25,103],"applications":[9],"including":[10],"enforcement,":[12],"resource":[13],"allocation,":[14],"privacy":[15],"and":[16,44,56,85,105,198,222,232],"security.":[17],"While":[18],"critical":[19],"for":[20,111,138,186],"the":[21,51,99,106,145,150,171,206,240],"practical":[22],"progress":[23],"of":[24,50,109,153,205,213],"sharing,":[26],"modulation":[27,86,112,139,187],"has":[29],"so":[30],"far":[31],"been":[32],"investigated":[33],"under":[34,115],"unrealistic":[35],"assumptions:":[36],"(i)a":[37],"transmitter's":[38,73],"bandwidth":[39,74],"must":[40,53,60],"be":[41,54,61,68,77,89],"scanned":[42,78],"alone":[43],"full,":[46],"(ii)":[47],"prior":[48,203],"knowledge":[49,204],"technology":[52],"available":[55],"(iii)":[57],"transmitter":[59,196,208],"trustworthy.":[62],"In":[63],"reality":[64],"these":[65,175],"assumptions":[66],"cannot":[67],"readily":[69],"met,":[70],"as":[71],"may":[75,88],"only":[76],"intermittently,":[79],"partially,":[80],"or":[81,94],"alongside":[82],"other":[83],"transmitters,":[84],"obfuscation":[87],"introduced":[90],"by":[91],"short-lived":[92],"scans":[93,197,244],"malicious":[95],"activity.This":[96],"paper":[97],"bridges":[98],"gap":[100],"between":[101],"real-world":[102,223],"sensing":[104],"growing":[107],"body":[108],"methods":[110],"designed":[114],"simplifying":[116],"assumptions.":[117],"We":[118,225],"propose":[119],"to":[120,193,228],"use":[121],"local":[122,154],"features,":[123,177],"besides":[124],"global":[125],"statistics,":[126],"extracted":[127,160],"from":[128,144,156,239],"raw":[129],"IQ":[130,158],"data,":[131],"which":[132],"collectively":[133],"enable":[134],"robust":[136,192],"framework":[137,166,190],"that":[141,167],"outperforms":[142,217],"baselines":[143,218],"state-of-the-art.":[146],"Specifically,":[147],"we":[148,178],"exploit":[149],"discriminative":[151],"power":[152],"patterns":[155],"consecutive":[157],"samples":[159],"based":[161],"on":[162],"Fisher":[164],"Kernel":[165],"captures":[168],"non-linearity":[169],"underlying":[172,207],"data.":[173],"With":[174],"domain-informed":[176],"employ":[179],"lightweight":[180],"linear":[181],"support":[182],"vector":[183],"machine":[184],"classification":[185],"detection.":[188],"Our":[189],"is":[191],"noise,":[194],"partial":[195,243],"data":[199],"biases":[200],"without":[201],"utilizing":[202],"technology.":[209],"The":[210],"accuracy":[212,231],"our":[214],"approach":[215],"consistently":[216],"both":[220],"simulated":[221],"traces.":[224],"demonstrate":[226],"up":[227],"98%":[230],"30%":[234],"improvement":[235],"over":[236],"several":[237],"counterparts":[238],"literature":[241],"with":[242],"USRP":[247],"testbed.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5}],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-10-10T00:00:00"}
