{"id":"https://openalex.org/W3015691456","doi":"https://doi.org/10.1109/icassp40776.2020.9053347","title":"Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling","display_name":"Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015691456","doi":"https://doi.org/10.1109/icassp40776.2020.9053347","mag":"3015691456"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5001833718","display_name":"Ron Levie","orcid":"https://orcid.org/0000-0003-3004-7515"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]},{"id":"https://openalex.org/I4210105926","display_name":"Institute of Mathematics and Informatics","ror":"https://ror.org/01b5dy719","country_code":"BG","type":"facility","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210105926"]},{"id":"https://openalex.org/I4210120266","display_name":"Czech Academy of Sciences, Institute of Mathematics","ror":"https://ror.org/02tv1yf50","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210120266"]}],"countries":["BG","CZ","DE"],"is_corresponding":true,"raw_author_name":"Ron Levie","raw_affiliation_strings":["Institute of Mathematics, TU Berlin"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, TU Berlin","institution_ids":["https://openalex.org/I4210105926","https://openalex.org/I4210120266","https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076496369","display_name":"\u00c7a\u011fkan Yapar","orcid":"https://orcid.org/0000-0001-6027-0182"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cagkan Yapar","raw_affiliation_strings":["Institute of Telecommunication Systems, TU Berlin"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunication Systems, TU Berlin","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090767423","display_name":"Gitta Kutyniok","orcid":"https://orcid.org/0000-0001-9738-2487"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]},{"id":"https://openalex.org/I4210120266","display_name":"Czech Academy of Sciences, Institute of Mathematics","ror":"https://ror.org/02tv1yf50","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210120266"]},{"id":"https://openalex.org/I4210105926","display_name":"Institute of Mathematics and Informatics","ror":"https://ror.org/01b5dy719","country_code":"BG","type":"facility","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210105926"]}],"countries":["BG","CZ","DE"],"is_corresponding":false,"raw_author_name":"Gitta Kutyniok","raw_affiliation_strings":["Institute of Mathematics, TU Berlin"],"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, TU Berlin","institution_ids":["https://openalex.org/I4210105926","https://openalex.org/I4210120266","https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058252389","display_name":"Giuseppe Caire","orcid":"https://orcid.org/0000-0002-7749-1333"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Giuseppe Caire","raw_affiliation_strings":["Institute of Telecommunication Systems, TU Berlin"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunication Systems, TU Berlin","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001833718"],"corresponding_institution_ids":["https://openalex.org/I4210105926","https://openalex.org/I4210120266","https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":1.9522,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.86272318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8678","last_page":"8682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9980000257492065,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.996999979019165,"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":0.7321179509162903},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.676628828048706},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6139196157455444},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5922525525093079},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48157620429992676},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43780049681663513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42835506796836853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35053732991218567},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33030346035957336},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32961106300354004},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14384916424751282},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1329260766506195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7321179509162903},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.676628828048706},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6139196157455444},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5922525525093079},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48157620429992676},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43780049681663513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42835506796836853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35053732991218567},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33030346035957336},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32961106300354004},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14384916424751282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1329260766506195},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1506796937","https://openalex.org/W1522301498","https://openalex.org/W1554663460","https://openalex.org/W1901129140","https://openalex.org/W2107200608","https://openalex.org/W2112796928","https://openalex.org/W2197943604","https://openalex.org/W2228048552","https://openalex.org/W2395611524","https://openalex.org/W2400214132","https://openalex.org/W2464708700","https://openalex.org/W2574952845","https://openalex.org/W2592929672","https://openalex.org/W2612025759","https://openalex.org/W2684068138","https://openalex.org/W2784331297","https://openalex.org/W2796157935","https://openalex.org/W2885828982","https://openalex.org/W2889101187","https://openalex.org/W2908184967","https://openalex.org/W2921224230","https://openalex.org/W2939512316","https://openalex.org/W2947146353","https://openalex.org/W2962914239","https://openalex.org/W2963125871","https://openalex.org/W2963372104","https://openalex.org/W2963444790","https://openalex.org/W2963881378","https://openalex.org/W2963931669","https://openalex.org/W2964121744","https://openalex.org/W2970973152","https://openalex.org/W2971736788","https://openalex.org/W2972468666","https://openalex.org/W2978563329","https://openalex.org/W3032666109","https://openalex.org/W3046498183","https://openalex.org/W3092386209","https://openalex.org/W4297772798","https://openalex.org/W6630260749","https://openalex.org/W6631190155","https://openalex.org/W6633075811","https://openalex.org/W6691096134","https://openalex.org/W6767844734","https://openalex.org/W6768629318","https://openalex.org/W6781193508"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4304166257","https://openalex.org/W4294635752","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W2802049774"],"abstract_inverted_index":{"In":[0,107],"this":[1,108],"paper":[2,109],"we":[3,110],"propose":[4],"a":[5,18,34,73],"highly":[6],"efficient":[7],"and":[8,45,95,115,136,176],"very":[9,63,104,134,147],"accurate":[10,51],"method":[11,141,164],"for":[12,57],"estimating":[13],"the":[14,26,54,70,77,80,89,127],"propagation":[15,85],"pathloss":[16,55,71,128,143],"from":[17],"point":[19],"x":[20],"to":[21,122,125,149],"all":[22,58],"points":[23],"y":[24],"on":[25,171],"2D":[27],"plane.":[28],"Our":[29,139],"method,":[30],"termed":[31],"RadioUNet,":[32],"is":[33,62],"deep":[35,117],"neural":[36,118],"network.":[37],"For":[38],"applications":[39],"such":[40,100],"as":[41,72],"user-cell":[42],"site":[43],"association":[44],"device-to-device":[46],"(D2D)":[47],"link":[48],"scheduling,":[49],"an":[50,131],"knowledge":[52],"of":[53,60,76,91],"function":[56,75,174],"pairs":[59],"locations":[61],"important.":[64],"Commonly":[65],"used":[66],"statistical":[67],"models":[68],"approximate":[69],"decaying":[74],"distance":[78],"between":[79],"points.":[81],"However,":[82],"in":[83],"realistic":[84],"environments":[86],"characterized":[87],"by":[88,152],"presence":[90],"buildings,":[92],"street":[93],"canyons,":[94],"objects":[96],"at":[97],"different":[98],"heights,":[99],"radial-symmetric":[101],"functions":[102],"yield":[103],"misleading":[105],"results.":[106],"show":[111,161],"that":[112,145,162],"properly":[113],"designed":[114],"trained":[116],"networks":[119],"are":[120,146],"able":[121],"learn":[123],"how":[124],"estimate":[126],"function,":[129],"given":[130,151],"urban":[132],"environment,":[133],"accurately":[135],"extremely":[137],"quickly.":[138],"proposed":[140,168],"generates":[142],"estimations":[144,150],"close":[148],"physical":[153],"simulation,":[154],"but":[155],"much":[156],"faster.":[157],"Moreover,":[158],"experimental":[159],"results":[160],"our":[163],"significantly":[165],"outperforms":[166],"previously":[167],"methods":[169],"based":[170],"radial":[172],"basis":[173],"interpolation":[175],"tensor":[177],"completion.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
