{"id":"https://openalex.org/W1526790268","doi":"https://doi.org/10.1109/infcomw.2015.7179333","title":"Exploring spatial decomposition methods and linear regression in radio environment Maps","display_name":"Exploring spatial decomposition methods and linear regression in radio environment Maps","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1526790268","doi":"https://doi.org/10.1109/infcomw.2015.7179333","mag":"1526790268"},"language":"en","primary_location":{"id":"doi:10.1109/infcomw.2015.7179333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2015.7179333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5068911049","display_name":"Andreas Achtzehn","orcid":"https://orcid.org/0000-0002-3998-4073"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andreas Achtzehn","raw_affiliation_strings":["Institute for Networked Systems, RWTH Aachen University, Aachen, Germany","Institute for Networked Systems, RWTH Aachen University, Kackertstrasse 9, D-52072, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Networked Systems, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institute for Networked Systems, RWTH Aachen University, Kackertstrasse 9, D-52072, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028886855","display_name":"Janne Riihij\u00e4rvi","orcid":"https://orcid.org/0000-0002-5989-3611"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Janne Riihijarvi","raw_affiliation_strings":["Institute for Networked Systems, RWTH Aachen University, Aachen, Germany","Institute for Networked Systems, RWTH Aachen University, Kackertstrasse 9, D-52072, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Networked Systems, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institute for Networked Systems, RWTH Aachen University, Kackertstrasse 9, D-52072, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031180041","display_name":"Petri M\u00e4h\u00f6nen","orcid":"https://orcid.org/0000-0001-6934-8636"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Petri Mahonen","raw_affiliation_strings":["Institute for Networked Systems, RWTH Aachen University, Aachen, Germany","Institute for Networked Systems, RWTH Aachen University, Kackertstrasse 9, D-52072, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Networked Systems, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institute for Networked Systems, RWTH Aachen University, Kackertstrasse 9, D-52072, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068911049"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02261399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9883999824523926,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9883999824523926,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9839000105857849,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.7628304958343506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514830589294434},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6384096145629883},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.5429285764694214},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.49163371324539185},{"id":"https://openalex.org/keywords/decomposition-method","display_name":"Decomposition method (queueing theory)","score":0.48580408096313477},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.48095598816871643},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47298821806907654},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4473952054977417},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4378037750720978},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4161375164985657},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3216264545917511},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2708742618560791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2410041093826294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16984134912490845},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13037648797035217},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08451655507087708}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.7628304958343506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514830589294434},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6384096145629883},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.5429285764694214},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.49163371324539185},{"id":"https://openalex.org/C2778258933","wikidata":"https://www.wikidata.org/wiki/Q16918986","display_name":"Decomposition method (queueing theory)","level":2,"score":0.48580408096313477},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.48095598816871643},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47298821806907654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4473952054977417},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4378037750720978},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4161375164985657},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3216264545917511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2708742618560791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2410041093826294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16984134912490845},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13037648797035217},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08451655507087708},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infcomw.2015.7179333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2015.7179333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:566566","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/566566","pdf_url":null,"source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2015 IEEE Conference on Computer Communications workshops (INFOCOM WKSHPS 2015) : Hong Kong, 26 April - 1 May 2015<br/>2015 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS, Hong Kong, Hong Kong, 2015-04-26 - 2015-05-01","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1540755540","https://openalex.org/W2005617509","https://openalex.org/W2084801029","https://openalex.org/W2122450421","https://openalex.org/W2145417574","https://openalex.org/W3023390280"],"related_works":["https://openalex.org/W2355663289","https://openalex.org/W2982399888","https://openalex.org/W2106913410","https://openalex.org/W2575795810","https://openalex.org/W4400591661","https://openalex.org/W31220157","https://openalex.org/W2288557197","https://openalex.org/W4233024177","https://openalex.org/W2101914902","https://openalex.org/W3174613421"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"the":[5,13,62,76,90],"application":[6],"of":[7,16,78,89],"spatial":[8,58],"decomposition":[9,35,59,91],"methods":[10],"for":[11,22,49],"improving":[12],"prediction":[14],"accuracy":[15],"linear":[17],"regression":[18],"models":[19],"when":[20],"used":[21],"establishing":[23],"radio":[24],"environment":[25],"maps":[26],"through":[27],"large-scale":[28],"pathloss":[29],"estimation.":[30],"We":[31],"discuss":[32],"two":[33],"basic":[34],"schemes,":[36],"namely":[37],"square":[38,65],"and":[39,42,93],"radial":[40],"decomposition,":[41],"apply":[43],"them":[44],"in":[45],"a":[46,50],"reference":[47],"scenario":[48],"high-power":[51],"TV":[52],"transmitter.":[53],"Our":[54],"results":[55],"show":[56],"that":[57,75],"can":[60],"improve":[61],"residual":[63],"mean":[64],"error":[66],"by":[67],"up":[68],"to":[69,85],"4":[70],"dB,":[71],"but":[72],"also":[73],"indicate":[74],"benefit":[77],"our":[79],"proposed":[80],"approach":[81],"is":[82],"very":[83],"sensitive":[84],"an":[86],"appropriate":[87],"selection":[88],"scheme":[92],"its":[94],"parameters.":[95]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}