{"id":"https://openalex.org/W2122735016","doi":"https://doi.org/10.1145/2787394.2787395","title":"Spatial Interpolation based Cellular Coverage Prediction with Crowdsourced Measurements","display_name":"Spatial Interpolation based Cellular Coverage Prediction with Crowdsourced Measurements","publication_year":2015,"publication_date":"2015-08-17","ids":{"openalex":"https://openalex.org/W2122735016","doi":"https://doi.org/10.1145/2787394.2787395","mag":"2122735016"},"language":"en","primary_location":{"id":"doi:10.1145/2787394.2787395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2787394.2787395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGCOMM Workshop on Crowdsourcing and Crowdsharing of Big (Internet) Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/8dd7e44c-4b39-4e06-9f9d-cdf341a8cb71","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087746858","display_name":"Massimiliano Molinari","orcid":null},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Massimiliano Molinari","raw_affiliation_strings":["University of Napoli Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"University of Napoli Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060084017","display_name":"Mah-Rukh Fida","orcid":"https://orcid.org/0000-0001-7660-1150"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mah-Rukh Fida","raw_affiliation_strings":["The University of Edinburgh, Edinburgh, United Kingdom","The University of Edinburgh, Edinburgh, United Kingdom;"],"affiliations":[{"raw_affiliation_string":"The University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"The University of Edinburgh, Edinburgh, United Kingdom;","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022046402","display_name":"Mahesh K. Marina","orcid":"https://orcid.org/0000-0002-6946-5143"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahesh K. Marina","raw_affiliation_strings":["The University of Edinburgh, Edinburgh, United Kingdom","The University of Edinburgh, Edinburgh, United Kingdom;"],"affiliations":[{"raw_affiliation_string":"The University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"The University of Edinburgh, Edinburgh, United Kingdom;","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064292700","display_name":"Antonio Pescap\u00e8","orcid":"https://orcid.org/0000-0002-0221-7444"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Pescape","raw_affiliation_strings":["University of Napoli Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"University of Napoli Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087746858"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":2.9592,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.91759854,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9983000159263611,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/kriging","display_name":"Kriging","score":0.8229532837867737},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7358339428901672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7238900661468506},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.6456232070922852},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6006372570991516},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.587837278842926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5429809093475342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3816378712654114},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3247496485710144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26626038551330566},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11767908930778503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10751885175704956},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.08294522762298584}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.8229532837867737},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7358339428901672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7238900661468506},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.6456232070922852},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6006372570991516},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.587837278842926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5429809093475342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3816378712654114},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3247496485710144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26626038551330566},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11767908930778503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10751885175704956},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.08294522762298584},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2787394.2787395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2787394.2787395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGCOMM Workshop on Crowdsourcing and Crowdsharing of Big (Internet) Data","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/8dd7e44c-4b39-4e06-9f9d-cdf341a8cb71","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/8dd7e44c-4b39-4e06-9f9d-cdf341a8cb71","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Molinari, M, Fida, M-R, Marina, M & Pescape, A 2015, Spatial Interpolation based Cellular Coverage Prediction with Crowdsourced Measurements. in ACM SIGCOMM Workshop on Crowdsourcing and crowdsharing of Big (Internet) Data (C2B(I)D) : Co-located with ACM SIGCOMM\u2019 15. https://doi.org/10.1145/2787394.2787395","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/8dd7e44c-4b39-4e06-9f9d-cdf341a8cb71","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11820/8dd7e44c-4b39-4e06-9f9d-cdf341a8cb71","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/8dd7e44c-4b39-4e06-9f9d-cdf341a8cb71","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/8dd7e44c-4b39-4e06-9f9d-cdf341a8cb71","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Molinari, M, Fida, M-R, Marina, M & Pescape, A 2015, Spatial Interpolation based Cellular Coverage Prediction with Crowdsourced Measurements. in ACM SIGCOMM Workshop on Crowdsourcing and crowdsharing of Big (Internet) Data (C2B(I)D) : Co-located with ACM SIGCOMM\u2019 15. https://doi.org/10.1145/2787394.2787395","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W101502882","https://openalex.org/W1170379206","https://openalex.org/W1503798979","https://openalex.org/W2006217849","https://openalex.org/W2017157665","https://openalex.org/W2017806736","https://openalex.org/W2063246330","https://openalex.org/W2074816415","https://openalex.org/W2093540532","https://openalex.org/W2100937240","https://openalex.org/W2112431369","https://openalex.org/W2124059098","https://openalex.org/W2132230539","https://openalex.org/W2160691714","https://openalex.org/W2494841413"],"related_works":["https://openalex.org/W4285326088","https://openalex.org/W1993996173","https://openalex.org/W4286247444","https://openalex.org/W2021907765","https://openalex.org/W2357092082","https://openalex.org/W2351738657","https://openalex.org/W69786412","https://openalex.org/W1974124546","https://openalex.org/W2055080101","https://openalex.org/W3200148366"],"abstract_inverted_index":{"Coverage":[0],"extension":[1],"and":[2,19,62,103],"prediction":[3,34],"has":[4],"always":[5],"been":[6],"of":[7,28,76,80,87,97],"great":[8],"importance":[9],"for":[10],"mobile":[11],"network":[12],"operators.":[13],"For":[14],"coverage":[15,33,57],"extension,":[16],"the":[17,29,74,94],"empirical":[18],"analytical":[20],"path":[21],"loss":[22],"models":[23],"assist":[24],"in":[25,89],"better":[26],"positioning":[27],"infrastructure.":[30],"However":[31],"post-deployment":[32],"can":[35,54],"be":[36],"more":[37],"cost":[38],"effectively":[39],"enabled":[40],"by":[41],"crowdsourced":[42,47,98],"measurements.":[43],"Unlike":[44],"drive":[45],"testing,":[46],"measurements":[48,66,99],"along":[49],"with":[50,59,68],"spatial":[51,81],"interpolation":[52,82],"techniques":[53],"help":[55],"generate":[56],"maps":[58],"less":[60],"expense":[61],"labor.":[63],"Using":[64],"controlled":[65],"taken":[67],"commodity":[69],"smartphones,":[70],"we":[71],"empirically":[72],"study":[73],"accuracy":[75],"a":[77,114],"wide":[78],"range":[79],"techniques,":[83],"including":[84],"various":[85],"forms":[86],"Kriging,":[88],"different":[90],"scenarios":[91],"that":[92,110],"capture":[93],"unique":[95],"characteristics":[96],"(inaccurate":[100],"locations,":[101],"sparse":[102],"non-uniform":[104],"measurements,":[105],"etc.).":[106],"Our":[107],"results":[108],"indicate":[109],"Ordinary":[111],"Kriging":[112],"is":[113],"fairly":[115],"robust":[116],"technique":[117],"overall,":[118],"across":[119],"all":[120],"scenarios.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}