{"id":"https://openalex.org/W4400811217","doi":"https://doi.org/10.1109/eucnc/6gsummit60053.2024.10597069","title":"Sub-Terahertz Channel Gain Prediction for Scheduling of Over-The-Air Deep Learning","display_name":"Sub-Terahertz Channel Gain Prediction for Scheduling of Over-The-Air Deep Learning","publication_year":2024,"publication_date":"2024-06-03","ids":{"openalex":"https://openalex.org/W4400811217","doi":"https://doi.org/10.1109/eucnc/6gsummit60053.2024.10597069"},"language":"en","primary_location":{"id":"doi:10.1109/eucnc/6gsummit60053.2024.10597069","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/eucnc/6gsummit60053.2024.10597069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/retrieve/1ce9d988-663a-43de-8c5e-da4e10a5b2c5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018946386","display_name":"Rodney Mart\u00ednez Alonso","orcid":"https://orcid.org/0000-0003-2529-5944"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Rodney Martinez Alonso","raw_affiliation_strings":["KULEUVEN,ESAT, WaveCore Arenberg,Leuven,Belgium,3001"],"affiliations":[{"raw_affiliation_string":"KULEUVEN,ESAT, WaveCore Arenberg,Leuven,Belgium,3001","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093961090","display_name":"Cel Thys","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Cel Thys","raw_affiliation_strings":["KULEUVEN,ESAT, WaveCore Arenberg,Leuven,Belgium,3001"],"affiliations":[{"raw_affiliation_string":"KULEUVEN,ESAT, WaveCore Arenberg,Leuven,Belgium,3001","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073517129","display_name":"Sofie Pollin","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Sofie Pollin","raw_affiliation_strings":["KULEUVEN,ESAT, WaveCore Arenberg,Leuven,Belgium,3001"],"affiliations":[{"raw_affiliation_string":"KULEUVEN,ESAT, WaveCore Arenberg,Leuven,Belgium,3001","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018946386"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":0.491,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72074554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"570","last_page":"575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.8199999928474426,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.8199999928474426,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.8007000088691711,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.7164000272750854,"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/terahertz-radiation","display_name":"Terahertz radiation","score":0.7947810888290405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5797742605209351},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.48613831400871277},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4618368148803711},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44533801078796387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3592120409011841},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.2721949517726898},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.26730018854141235},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2460576891899109},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20596575736999512}],"concepts":[{"id":"https://openalex.org/C107816215","wikidata":"https://www.wikidata.org/wiki/Q647887","display_name":"Terahertz radiation","level":2,"score":0.7947810888290405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5797742605209351},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.48613831400871277},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4618368148803711},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44533801078796387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3592120409011841},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.2721949517726898},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.26730018854141235},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2460576891899109},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20596575736999512},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/eucnc/6gsummit60053.2024.10597069","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/eucnc/6gsummit60053.2024.10597069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/748667","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/748667","pdf_url":"https://lirias.kuleuven.be/retrieve/1ce9d988-663a-43de-8c5e-da4e10a5b2c5","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), BELGIUM, Antwerp, 3-6 June 2024","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:zenodo.org:13881132","is_oa":true,"landing_page_url":"https://doi.org/10.1109/EuCNC/6GSummit60053.2024.10597069","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EuCNC/6G Summit, 2024 Joint European Conference on Networks and Communications & 6G Summit, Antwerp, Belgium, 03-06 June 2024","raw_type":"info:eu-repo/semantics/other"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/748667","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/748667","pdf_url":"https://lirias.kuleuven.be/retrieve/1ce9d988-663a-43de-8c5e-da4e10a5b2c5","source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), BELGIUM, Antwerp, 3-6 June 2024","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8537625302","display_name":"High Efficiency wiReless CMOS transceiver boosted by artificial intelligencE for 6G bandS and beyond","funder_award_id":"964246","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400811217.pdf","grobid_xml":"https://content.openalex.org/works/W4400811217.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2538841173","https://openalex.org/W2734408173","https://openalex.org/W2955897898","https://openalex.org/W2964198392","https://openalex.org/W2968026845","https://openalex.org/W3005526854","https://openalex.org/W3010366570","https://openalex.org/W3013008552","https://openalex.org/W3162996485","https://openalex.org/W3212588124","https://openalex.org/W4206133298","https://openalex.org/W4285028693","https://openalex.org/W4285817698","https://openalex.org/W4313241816","https://openalex.org/W4319459033"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Enabling":[0],"artificial":[1],"intelligence":[2],"native":[3],"end-to-end":[4,63,94],"systems":[5],"in":[6,56],"ultra-wideband":[7],"sub-terahertz":[8],"spectrum":[9],"faces":[10],"several":[11],"challenges.":[12],"The":[13],"particularly":[14],"complex":[15],"channel":[16,53,111,130],"variations":[17,55,113],"and":[18,82,152],"nonlinear":[19],"behavior":[20],"of":[21,24,34,50,92,108,143],"analog":[22],"components":[23],"the":[25,31,52,71,75,79,90,93,110,128,141,144],"transceivers":[26],"are":[27,84],"major":[28],"obstacles":[29],"to":[30,61,127,147],"over-the-air":[32],"adaptation":[33],"these":[35],"systems.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"investigate":[41],"an":[42],"edge-based":[43],"bidirectional":[44],"long-short-term":[45],"memory":[46],"neural":[47,150],"network":[48],"capable":[49,107],"predicting":[51],"gain":[54,112,131],"Non-Line-of-Sight":[57],"conditions.":[58],"We":[59],"aim":[60],"enable":[62],"autoencoders":[64],"with":[65,114,134],"a":[66,115],"predictive":[67],"model":[68,105,139],"for":[69],"scheduling":[70],"training":[72,91],"phase":[73],"when":[74],"power":[76],"is":[77,106],"above":[78],"receiver":[80],"sensitivity,":[81],"there":[83],"no":[85],"large":[86],"fading":[87],"variations.":[88],"Otherwise,":[89],"system":[95],"will":[96],"likely":[97],"fail.":[98],"With":[99],"only":[100],"16":[101],"BiLSTM":[102],"cells,":[103],"our":[104,138],"inferring":[109],"worst-case":[116],"root":[117],"mean":[118],"squared":[119],"error":[120,145],"lower":[121,135],"than":[122],"0.0547":[123],"(i.e.,":[124],"1.1%":[125],"compared":[126,146],"normalized":[129],"range).":[132],"Also,":[133],"computational":[136],"complexity,":[137],"decreased":[140],"propagation":[142],"traditional":[148],"recurrent":[149],"networks":[151],"deep-learning-based":[153],"forecasting":[154],"models.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2024-07-20T00:00:00"}