{"id":"https://openalex.org/W4290993827","doi":"https://doi.org/10.1109/icc45855.2022.9838695","title":"PHY-NET: A Channel Autoencoder Approach for Wireless PHY Layer Design","display_name":"PHY-NET: A Channel Autoencoder Approach for Wireless PHY Layer Design","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290993827","doi":"https://doi.org/10.1109/icc45855.2022.9838695"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838695","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on 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/A5006572923","display_name":"Stephan Frisbie","orcid":null},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]},{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephan Frisbie","raw_affiliation_strings":["Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,20723","Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,20723","institution_ids":["https://openalex.org/I2802946424"]},{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022375269","display_name":"Arun Reddy","orcid":"https://orcid.org/0009-0008-8325-1257"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arun Reddy","raw_affiliation_strings":["Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,20723","Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,20723","institution_ids":["https://openalex.org/I2802946424"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010242528","display_name":"Daniel Barcklow","orcid":null},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Barcklow","raw_affiliation_strings":["Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,20723"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,20723","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044121884","display_name":"Stephen J. Sweeney","orcid":"https://orcid.org/0000-0001-8561-6071"},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Sweeney","raw_affiliation_strings":["Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,20723"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Applied Physics Laboratory,Laurel,MD,20723","institution_ids":["https://openalex.org/I2802946424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07776305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"3741","last_page":"3746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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":1.0,"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":0.9916999936103821,"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"}},{"id":"https://openalex.org/T10187","display_name":"Radio Frequency Integrated Circuit Design","score":0.9890000224113464,"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":0.8027653694152832},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7278269529342651},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.6292859315872192},{"id":"https://openalex.org/keywords/phy","display_name":"PHY","score":0.5840070843696594},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.5132677555084229},{"id":"https://openalex.org/keywords/block-error-rate","display_name":"Block Error Rate","score":0.5089282989501953},{"id":"https://openalex.org/keywords/baseband","display_name":"Baseband","score":0.5047794580459595},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4796881377696991},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4691639840602875},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4455373287200928},{"id":"https://openalex.org/keywords/demodulation","display_name":"Demodulation","score":0.4429284930229187},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3672928810119629},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3576676845550537},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.35361695289611816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3400651514530182},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.28644734621047974},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.17353534698486328},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14314323663711548},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13940471410751343},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09231829643249512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027653694152832},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7278269529342651},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.6292859315872192},{"id":"https://openalex.org/C41918916","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"PHY","level":4,"score":0.5840070843696594},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.5132677555084229},{"id":"https://openalex.org/C2776639698","wikidata":"https://www.wikidata.org/wiki/Q4927140","display_name":"Block Error Rate","level":3,"score":0.5089282989501953},{"id":"https://openalex.org/C65165936","wikidata":"https://www.wikidata.org/wiki/Q575784","display_name":"Baseband","level":3,"score":0.5047794580459595},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4796881377696991},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4691639840602875},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4455373287200928},{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.4429284930229187},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3672928810119629},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3576676845550537},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35361695289611816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3400651514530182},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.28644734621047974},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.17353534698486328},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14314323663711548},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13940471410751343},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09231829643249512},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9838695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838695","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2025319838","https://openalex.org/W2101354295","https://openalex.org/W2402669159","https://openalex.org/W2734408173","https://openalex.org/W2736068844","https://openalex.org/W2907541244","https://openalex.org/W2962902015","https://openalex.org/W2962981131","https://openalex.org/W2968026845","https://openalex.org/W3019763781","https://openalex.org/W3047506756"],"related_works":["https://openalex.org/W2050076578","https://openalex.org/W2021137793","https://openalex.org/W166283650","https://openalex.org/W2243517780","https://openalex.org/W2123764649","https://openalex.org/W2945523224","https://openalex.org/W4313639042","https://openalex.org/W1986312659","https://openalex.org/W2533435874","https://openalex.org/W2188004420"],"abstract_inverted_index":{"In":[0,85],"this":[1],"work,":[2],"we":[3],"present":[4],"a":[5,28,54,71,81,121,145,163,194,219],"deep":[6,47],"learning":[7,21,36,48],"model":[8,49,74,156,181],"for":[9],"creating":[10],"wireless":[11,72],"communications":[12,83],"waveforms":[13],"with":[14,125],"tailored":[15],"physical":[16,112],"layer":[17,113],"attributes.":[18],"A":[19],"multi-task":[20],"framework":[22,217],"based":[23],"on":[24],"the":[25,43,46,51,78,87,101,107,137,155,180,211,216,225],"notion":[26],"of":[27,103,120,136,144,221],"channel":[29,73],"autoencoder":[30],"is":[31,53,68,90,123,140,172],"presented":[32],"and":[33,50,75,128,169,193],"two":[34],"secondary":[35],"goals":[37],"are":[38,42,204],"introduced.":[39],"Data":[40],"bits":[41],"input":[44],"to":[45,77,92,106,142,151,158,176,183,210,223],"output":[52,66,88],"latent":[55],"representation":[56,67,89],"that":[57,99,110,143],"can":[58,116],"be":[59,117],"interpreted":[60],"as":[61],"complex":[62],"baseband":[63],"samples.":[64],"This":[65],"perturbed":[69],"by":[70],"distributed":[76,91],"decoder,":[79],"modeling":[80],"classical":[82],"demodulator.":[84],"addition,":[86],"one":[93],"or":[94],"many":[95],"expert-designed":[96],"loss":[97],"functions":[98],"serve":[100],"purpose":[102],"providing":[104],"feedback":[105],"encoder":[108],"such":[109],"specific":[111],"design":[114,130,213],"constraints":[115,222],"imposed.":[118],"Synthesis":[119],"waveform":[122,139,212],"demonstrated":[124],"example":[126],"energy":[127],"cyclostationary":[129],"constraints.":[131],"The":[132],"bit":[133,166,197],"error":[134,167,198],"rate":[135,168,199],"synthesized":[138],"compared":[141],"conventional":[146],"BPSK":[147],"modulation.":[148],"When":[149,174],"trained":[150,175],"optimize":[152],"transmit":[153,160,170],"energy,":[154],"learned":[157,182,205],"reduce":[159],"power":[161,171],"until":[162],"balance":[164],"between":[165],"found.":[173],"tune":[177],"cycle":[178,191],"features,":[179],"impose":[184],"an":[185],"atypical":[186],"pulse":[187],"shape":[188],"exhibiting":[189],"suppressed":[190],"features":[192],"1":[195],"dB":[196],"performance":[200],"loss.":[201],"These":[202],"models":[203],"without":[206],"applying":[207],"expert":[208],"knowledge":[209],"process;":[214],"rather,":[215],"uses":[218],"set":[220],"guide":[224],"development.":[226]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
