{"id":"https://openalex.org/W4308072639","doi":"https://doi.org/10.1109/mm.2022.3202091","title":"RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures","display_name":"RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4308072639","doi":"https://doi.org/10.1109/mm.2022.3202091"},"language":"en","primary_location":{"id":"doi:10.1109/mm.2022.3202091","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mm.2022.3202091","pdf_url":"https://ieeexplore.ieee.org/ielx7/40/9933375/09933377.pdf","source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"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 Micro","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/40/9933375/09933377.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085369326","display_name":"Felix Jentzsch","orcid":"https://orcid.org/0000-0003-4987-5708"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Felix Jentzsch","raw_affiliation_strings":["Paderborn University, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081895688","display_name":"Yaman Umuroglu","orcid":"https://orcid.org/0000-0002-3700-5935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaman Umuroglu","raw_affiliation_strings":["AMD, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"AMD, Dublin, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076669165","display_name":"Alessandro Pappalardo","orcid":"https://orcid.org/0000-0001-9386-5510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alessandro Pappalardo","raw_affiliation_strings":["AMD, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"AMD, Dublin, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031107943","display_name":"Michaela Blott","orcid":"https://orcid.org/0000-0002-7833-4057"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michaela Blott","raw_affiliation_strings":["AMD, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"AMD, Dublin, Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069368714","display_name":"Marco Platzner","orcid":"https://orcid.org/0000-0002-6893-063X"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco Platzner","raw_affiliation_strings":["Paderborn University, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5085369326"],"corresponding_institution_ids":["https://openalex.org/I206945453"],"apc_list":null,"apc_paid":null,"fwci":2.0684,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88887687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"42","issue":"6","first_page":"125","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9879000186920166,"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":0.9879000186920166,"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/T10472","display_name":"Semiconductor materials and devices","score":0.9822999835014343,"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/T10187","display_name":"Radio Frequency Integrated Circuit Design","score":0.9778000116348267,"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":0.860270619392395},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.8408703207969666},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.809946596622467},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6788831353187561},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6006495952606201},{"id":"https://openalex.org/keywords/design-flow","display_name":"Design flow","score":0.4944183826446533},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.46965518593788147},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.39169585704803467},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.36874085664749146},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34885936975479126},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.34354496002197266},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3351028263568878},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.13725736737251282},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0909109115600586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.860270619392395},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8408703207969666},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.809946596622467},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6788831353187561},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6006495952606201},{"id":"https://openalex.org/C37135326","wikidata":"https://www.wikidata.org/wiki/Q931942","display_name":"Design flow","level":2,"score":0.4944183826446533},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.46965518593788147},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.39169585704803467},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.36874085664749146},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34885936975479126},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.34354496002197266},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3351028263568878},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.13725736737251282},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0909109115600586},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mm.2022.3202091","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mm.2022.3202091","pdf_url":"https://ieeexplore.ieee.org/ielx7/40/9933375/09933377.pdf","source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"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 Micro","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/mm.2022.3202091","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mm.2022.3202091","pdf_url":"https://ieeexplore.ieee.org/ielx7/40/9933375/09933377.pdf","source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"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 Micro","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4308072639.pdf","grobid_xml":"https://content.openalex.org/works/W4308072639.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2030332747","https://openalex.org/W2773170971","https://openalex.org/W2891946740","https://openalex.org/W2963622214","https://openalex.org/W2986517689","https://openalex.org/W3046853918","https://openalex.org/W3129643976","https://openalex.org/W3155899199","https://openalex.org/W3198953472","https://openalex.org/W4300960336","https://openalex.org/W6806279983"],"related_works":["https://openalex.org/W2988943527","https://openalex.org/W3205411230","https://openalex.org/W4286899009","https://openalex.org/W3163341049","https://openalex.org/W9168048","https://openalex.org/W4300849822","https://openalex.org/W4376480820","https://openalex.org/W3155891479","https://openalex.org/W3029351463","https://openalex.org/W2885352820"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"are":[4],"penetrating":[5],"into":[6],"a":[7,44,88,117],"broad":[8],"spectrum":[9,89],"of":[10,39,80,90,133],"applications":[11],"and":[12,35,104,111,124,147,154],"replacing":[13],"manual":[14],"algorithmic":[15],"implementations,":[16],"including":[17,98],"the":[18,29,78,81,121],"radio":[19],"frequency":[20],"communications":[21],"domain":[22,42],"with":[23],"classical":[24],"signal":[25],"processing":[26,139],"algorithms.":[27],"However,":[28],"high":[30],"throughput":[31,146],"(gigasamples":[32],"per":[33],"second)":[34],"low":[36],"latency":[37,150],"requirements":[38,123],"this":[40,53],"application":[41,122],"pose":[43],"significant":[45],"hurdle":[46],"for":[47,68,77,94],"adopting":[48],"computationally":[49],"demanding":[50],"DNNs.":[51],"In":[52],"article,":[54],"we":[55,84,115,142],"explore":[56,87],"highly":[57],"specialized":[58],"DNN":[59],"inference":[60],"accelerator":[61],"approaches":[62],"on":[63],"field-programmable":[64],"gate":[65],"arrays":[66],"(FPGAs)":[67],"RadioML":[69],"modulation":[70],"classification.":[71],"Using":[72],"an":[73],"automated":[74],"end-to-end":[75],"flow":[76],"generation":[79],"FPGA":[82,127],"solution,":[83],"can":[85],"easily":[86],"solutions":[91],"that":[92,119],"optimize":[93],"different":[95],"design":[96],"targets,":[97],"accuracy,":[99],"power":[100,155],"efficiency,":[101],"resources,":[102],"throughput,":[103],"latency.":[105],"By":[106],"leveraging":[107],"reduced":[108],"precision":[109],"arithmetic":[110],"customized":[112],"streaming":[113],"dataflow,":[114],"demonstrate":[116],"solution":[118],"meets":[120],"outperforms":[125],"alternative":[126],"efforts":[128],"by":[129],"3.5\u00d7":[130],"in":[131],"terms":[132],"throughput.":[134],"Against":[135],"modern":[136],"embedded":[137],"graphics":[138],"units":[140],"(GPUs),":[141],"measure":[143],"$>\\mathsf{10}\\times$>10\u00d7":[144],"higher":[145],"$>\\mathsf{100}\\times$>100\u00d7":[148],"lower":[149],"under":[151],"comparable":[152],"accuracy":[153],"envelopes.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}