{"id":"https://openalex.org/W4221059723","doi":"https://doi.org/10.1109/icce53296.2022.9730204","title":"Received Path Power Prediction for Millimeter-wave Using Machine Learning","display_name":"Received Path Power Prediction for Millimeter-wave Using Machine Learning","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4221059723","doi":"https://doi.org/10.1109/icce53296.2022.9730204"},"language":"en","primary_location":{"id":"doi:10.1109/icce53296.2022.9730204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce53296.2022.9730204","pdf_url":null,"source":{"id":"https://openalex.org/S4363608007","display_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","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":"2022 IEEE International Conference on Consumer Electronics (ICCE)","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/A5075814689","display_name":"Takato Yamazaki","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takato Yamazaki","raw_affiliation_strings":["Meiji University,School of Interdisciplinary Mathematical Sciences,Department of Network Design,Tokyo,Japan","Department of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Meiji University,School of Interdisciplinary Mathematical Sciences,Department of Network Design,Tokyo,Japan","institution_ids":["https://openalex.org/I16656306"]},{"raw_affiliation_string":"Department of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031636392","display_name":"Kohei Shimaoka","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kohei Shimaoka","raw_affiliation_strings":["Meiji University,School of Interdisciplinary Mathematical Sciences,Department of Network Design,Tokyo,Japan","Department of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Meiji University,School of Interdisciplinary Mathematical Sciences,Department of Network Design,Tokyo,Japan","institution_ids":["https://openalex.org/I16656306"]},{"raw_affiliation_string":"Department of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002564019","display_name":"Kohei Ohno","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kohei Ohno","raw_affiliation_strings":["Meiji University,School of Interdisciplinary Mathematical Sciences,Department of Network Design,Tokyo,Japan","Department of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Meiji University,School of Interdisciplinary Mathematical Sciences,Department of Network Design,Tokyo,Japan","institution_ids":["https://openalex.org/I16656306"]},{"raw_affiliation_string":"Department of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028616136","display_name":"Ulf Johannsen","orcid":"https://orcid.org/0000-0002-6498-0699"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ulf Johannsen","raw_affiliation_strings":["Eindhoven University of Technology,Department of Electrical Engineering,Eindhoven,the Netherlands","Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Department of Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083310528","display_name":"Sonia Heemstra de Groot","orcid":"https://orcid.org/0000-0003-2270-727X"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sonia Heemstra De Groot","raw_affiliation_strings":["Eindhoven University of Technology,Department of Electrical Engineering,Eindhoven,the Netherlands","Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Department of Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075814689"],"corresponding_institution_ids":["https://openalex.org/I16656306"],"apc_list":null,"apc_paid":null,"fwci":0.6438,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52637956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"119","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9923999905586243,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9923999905586243,"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":0.9721999764442444,"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/T10752","display_name":"Terahertz technology and applications","score":0.9717000126838684,"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/extremely-high-frequency","display_name":"Extremely high frequency","score":0.7324315309524536},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6606848239898682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6508875489234924},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5630422234535217},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.5496063828468323},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4965251088142395},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.453808069229126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44185999035835266},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43769580125808716},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.421367883682251},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3842453956604004},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21589723229408264},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1784123182296753},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17497068643569946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15358969569206238},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14687645435333252},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10453668236732483},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0921943187713623}],"concepts":[{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.7324315309524536},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6606848239898682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508875489234924},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5630422234535217},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.5496063828468323},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4965251088142395},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.453808069229126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44185999035835266},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43769580125808716},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.421367883682251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3842453956604004},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21589723229408264},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1784123182296753},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17497068643569946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15358969569206238},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14687645435333252},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10453668236732483},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0921943187713623},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icce53296.2022.9730204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce53296.2022.9730204","pdf_url":null,"source":{"id":"https://openalex.org/S4363608007","display_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","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":"2022 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/eeb259aa-f8b7-4fd6-aa5e-c9ad895074c4","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/eeb259aa-f8b7-4fd6-aa5e-c9ad895074c4","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Yamazaki, T, Shimaoka, K, Ohno, K, Johannsen, U & Heemstra De Groot, S 2022, Received Path Power Prediction for Millimeter-wave Using Machine Learning. in 2022 IEEE International Conference on Consumer Electronics (ICCE 2022)., 9730204, Institute of Electrical and Electronics Engineers, 2022 IEEE International Conference on Consumer Electronics, ICCE 2022, Las Vegas, Nevada, United States, 7/01/22. https://doi.org/10.1109/ICCE53296.2022.9730204","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/eeb259aa-f8b7-4fd6-aa5e-c9ad895074c4","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/eeb259aa-f8b7-4fd6-aa5e-c9ad895074c4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics (ICCE 2022)","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1522301498","https://openalex.org/W2136922672","https://openalex.org/W2734408173","https://openalex.org/W2903382683","https://openalex.org/W2972468666","https://openalex.org/W6600284362","https://openalex.org/W6631190155","https://openalex.org/W6767844734"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W3201126466","https://openalex.org/W2314720829","https://openalex.org/W4282827391","https://openalex.org/W4385074335","https://openalex.org/W2626189183","https://openalex.org/W3165580226","https://openalex.org/W2626268514","https://openalex.org/W3135401135","https://openalex.org/W4311224030"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"the":[3,30,35,41,45,53,58,64,73,76],"received":[4,36,54],"power":[5,55],"prediction":[6,78],"of":[7,25,44,75],"millimeter-wave":[8],"by":[9],"machine":[10],"learning":[11,65],"when":[12],"a":[13,22],"user":[14],"moves":[15],"simply":[16],"like":[17],"walking":[18],"straight.":[19],"In":[20,38],"general,":[21],"large":[23],"amount":[24],"data":[26],"is":[27,47,61,69],"required":[28],"for":[29,63],"neural":[31],"network":[32],"to":[33,71],"predict":[34],"power.":[37],"this":[39],"paper,":[40],"transfer":[42],"function":[43],"channel":[46,60],"divided":[48],"into":[49],"narrower":[50,59],"bandwidths,":[51],"and":[52],"obtained":[56],"from":[57],"used":[62],"data.":[66],"The":[67],"RMSE":[68],"evaluated":[70],"show":[72],"effectiveness":[74],"proposed":[77],"scheme.":[79]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}