{"id":"https://openalex.org/W4283832888","doi":"https://doi.org/10.1109/spawc51304.2022.9833929","title":"Wireless Channel Prediction in Partially Observed Environments","display_name":"Wireless Channel Prediction in Partially Observed Environments","publication_year":2022,"publication_date":"2022-07-04","ids":{"openalex":"https://openalex.org/W4283832888","doi":"https://doi.org/10.1109/spawc51304.2022.9833929"},"language":"en","primary_location":{"id":"doi:10.1109/spawc51304.2022.9833929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc51304.2022.9833929","pdf_url":null,"source":{"id":"https://openalex.org/S4363607144","display_name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","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 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","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/A5012149825","display_name":"Mingsheng Yin","orcid":"https://orcid.org/0000-0002-7786-3037"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingsheng Yin","raw_affiliation_strings":["NYU Tandon School of Engineering,Brooklyn,NY,USA","NYU Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering,Brooklyn,NY,USA","institution_ids":[]},{"raw_affiliation_string":"NYU Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007935120","display_name":"Yaqi Hu","orcid":"https://orcid.org/0000-0003-2498-8108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaqi Hu","raw_affiliation_strings":["NYU Tandon School of Engineering,Brooklyn,NY,USA","NYU Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering,Brooklyn,NY,USA","institution_ids":[]},{"raw_affiliation_string":"NYU Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074136976","display_name":"Tommy Azzino","orcid":"https://orcid.org/0000-0002-6518-7406"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tommy Azzino","raw_affiliation_strings":["NYU Tandon School of Engineering,Brooklyn,NY,USA","NYU Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering,Brooklyn,NY,USA","institution_ids":[]},{"raw_affiliation_string":"NYU Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009439380","display_name":"Seongjoon Kang","orcid":"https://orcid.org/0009-0007-6855-0948"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seongjoon Kang","raw_affiliation_strings":["NYU Tandon School of Engineering,Brooklyn,NY,USA","NYU Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering,Brooklyn,NY,USA","institution_ids":[]},{"raw_affiliation_string":"NYU Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031845788","display_name":"Marco Mezzavilla","orcid":"https://orcid.org/0000-0001-6237-5340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Mezzavilla","raw_affiliation_strings":["NYU Tandon School of Engineering,Brooklyn,NY,USA","NYU Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering,Brooklyn,NY,USA","institution_ids":[]},{"raw_affiliation_string":"NYU Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000099903","display_name":"Sundeep Rangan","orcid":"https://orcid.org/0000-0002-0925-8169"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sundeep Rangan","raw_affiliation_strings":["NYU Tandon School of Engineering,Brooklyn,NY,USA","NYU Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering,Brooklyn,NY,USA","institution_ids":[]},{"raw_affiliation_string":"NYU Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6379,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54927692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9987000226974487,"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/T13121","display_name":"Radio Wave Propagation Studies","score":0.9925000071525574,"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/computer-science","display_name":"Computer science","score":0.7786353230476379},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6431798338890076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5420066714286804},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5418179631233215},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5363792777061462},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4945802390575409},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.4742031395435333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4656762480735779},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.41004252433776855},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3712475001811981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786353230476379},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6431798338890076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5420066714286804},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5418179631233215},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5363792777061462},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4945802390575409},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.4742031395435333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4656762480735779},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.41004252433776855},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3712475001811981},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/spawc51304.2022.9833929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc51304.2022.9833929","pdf_url":null,"source":{"id":"https://openalex.org/S4363607144","display_name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","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 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1276302","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1276302","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1490921409","https://openalex.org/W1991056455","https://openalex.org/W2953127211","https://openalex.org/W2964339842","https://openalex.org/W3001925691","https://openalex.org/W3004165401","https://openalex.org/W3008115128","https://openalex.org/W3009928773","https://openalex.org/W3011144238","https://openalex.org/W3039059058","https://openalex.org/W3043547428","https://openalex.org/W3081154744","https://openalex.org/W3177021185","https://openalex.org/W3190215236","https://openalex.org/W4211120851","https://openalex.org/W4214888618","https://openalex.org/W6774815639","https://openalex.org/W6799560697"],"related_works":["https://openalex.org/W2888673113","https://openalex.org/W2212288070","https://openalex.org/W2056065966","https://openalex.org/W2352602608","https://openalex.org/W2062641654","https://openalex.org/W3149975758","https://openalex.org/W1517786189","https://openalex.org/W3213987435","https://openalex.org/W3023262859","https://openalex.org/W2367675495"],"abstract_inverted_index":{"Site-specific":[0],"radio":[1],"frequency":[2],"(RF)":[3],"propagation":[4,125],"pre-diction":[5],"increasingly":[6],"relies":[7],"on":[8,59,128,147],"models":[9,97,107,155],"built":[10],"from":[11,76,79],"visual":[12],"data":[13],"such":[14],"as":[15],"cameras":[16],"and":[17,63,73,104,162,165],"LIDAR":[18],"sensors.":[19],"When":[20],"operating":[21],"in":[22,141],"dynamic":[23],"settings,":[24],"the":[25,46,60,71,80,89,109,119,124,129],"environment":[26,62,110],"may":[27],"only":[28],"be":[29],"partially":[30],"observed.":[31,113],"This":[32],"paper":[33],"introduces":[34],"a":[35,51,142,148],"method":[36,91,115],"to":[37,69],"extract":[38],"statistical":[39,96],"channel":[40,72],"models,":[41],"given":[42],"partial":[43,61,81,100],"observations":[44],"of":[45,121,123,131,150],"surrounding":[47],"environment.":[48],"We":[49],"propose":[50],"simple":[52],"heuristic":[53],"algorithm":[54],"that":[55,88,133],"performs":[56],"ray":[57,82],"tracing":[58,83],"then":[64],"uses":[65],"machine-learning":[66],"trained":[67],"predictors":[68],"estimate":[70],"its":[74],"uncertainty":[75,122],"features":[77],"extracted":[78],"results.":[84],"It":[85],"is":[86,102,111,139],"shown":[87],"proposed":[90],"can":[92,116],"interpolate":[93],"between":[94],"fully":[95,105],"when":[98,108],"no":[99],"information":[101],"available":[103],"deterministic":[106],"completely":[112],"The":[114,137],"also":[117],"capture":[118],"degree":[120],"predictions":[126],"depending":[127],"amount":[130],"region":[132],"has":[134],"been":[135],"explored.":[136],"methodology":[138],"demonstrated":[140],"robotic":[143],"navigation":[144],"application":[145],"simulated":[146],"set":[149],"indoor":[151],"maps":[152],"with":[153],"detailed":[154],"constructed":[156],"using":[157],"state-of-the-art":[158],"navigation,":[159],"simultaneous":[160],"localization":[161],"mapping":[163],"(SLAM),":[164],"computer":[166],"vision":[167],"methods.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-07-07T00:00:00"}
