{"id":"https://openalex.org/W3170282102","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443511","title":"Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features","display_name":"Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3170282102","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443511","mag":"3170282102"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101871375","display_name":"Yinsong Wang","orcid":"https://orcid.org/0000-0001-8232-5586"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinsong Wang","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056299839","display_name":"Hessam Mahdavifar","orcid":"https://orcid.org/0000-0001-9021-1992"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hessam Mahdavifar","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042820941","display_name":"Kamran Entesari","orcid":"https://orcid.org/0000-0002-7772-6606"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamran Entesari","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040922600","display_name":"Shahin Shahrampour","orcid":"https://orcid.org/0000-0003-3093-8510"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahin Shahrampour","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30210387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1142","last_page":"1146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","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/T10148","display_name":"Advanced MIMO Systems Optimization","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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.8067231178283691},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7720299959182739},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6051880717277527},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5493670105934143},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.49732330441474915},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.43520426750183105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10680878162384033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067231178283691},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7720299959182739},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6051880717277527},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5493670105934143},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.49732330441474915},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.43520426750183105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10680878162384033},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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":1,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1988813039","https://openalex.org/W2009277102","https://openalex.org/W2012080288","https://openalex.org/W2030019404","https://openalex.org/W2052627089","https://openalex.org/W2086858490","https://openalex.org/W2115400030","https://openalex.org/W2123395972","https://openalex.org/W2128628369","https://openalex.org/W2144902422","https://openalex.org/W2168029744","https://openalex.org/W2170524206","https://openalex.org/W2185503150","https://openalex.org/W2217450957","https://openalex.org/W2275636546","https://openalex.org/W2544176167","https://openalex.org/W2579923771","https://openalex.org/W2949384808","https://openalex.org/W2962840796","https://openalex.org/W2963013450","https://openalex.org/W2967770227","https://openalex.org/W2979920384","https://openalex.org/W3101483526","https://openalex.org/W3101749733","https://openalex.org/W6678945949","https://openalex.org/W6681302627","https://openalex.org/W6688692762","https://openalex.org/W6694266080","https://openalex.org/W6732517885","https://openalex.org/W6766367825","https://openalex.org/W6768889268"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1982914007","https://openalex.org/W2159583675","https://openalex.org/W1824242903","https://openalex.org/W1493858311","https://openalex.org/W2155470929","https://openalex.org/W2394465510","https://openalex.org/W2111125783"],"abstract_inverted_index":{"The":[0],"problem":[1,19,96,102,108],"of":[2,23,39,52,82,119,129,137,175],"cell":[3,94,145],"association":[4,95,146],"is":[5,149,165],"considered":[6],"for":[7,113,117,143],"cellular":[8],"users":[9,53,120],"present":[10],"in":[11,67,86,139,157],"the":[12,21,29,34,50,60,68,87,93,115,127,134,140,144,153,158,163,173],"field.":[13,88],"This":[14,148],"has":[15],"become":[16],"a":[17,41,64,79,98],"challenging":[18],"with":[20,33,49,167],"deployment":[22],"5G":[24],"networks":[25,112],"which":[26,44],"will":[27],"share":[28],"sub-6":[30],"GHz":[31],"bands":[32],"legacy":[35],"4G":[36],"networks.":[37],"Instead":[38],"taking":[40],"network-controlled":[42],"approach,":[43],"may":[45,55],"not":[46],"be":[47,76],"scalable":[48,65],"number":[51,81],"and":[54,103],"introduce":[56],"extra":[57],"delays":[58],"into":[59],"system,":[61],"we":[62,91],"propose":[63],"solution":[66,142],"physical":[69],"layer":[70],"by":[71,78],"utilizing":[72],"data":[73],"that":[74,162],"can":[75],"collected":[77],"large":[80],"spectrum":[83],"sensors":[84],"deployed":[85],"More":[89],"specifically,":[90],"model":[92],"as":[97,183,185],"nonlinear":[99],"boundary":[100],"detection":[101,164],"focus":[104],"on":[105],"solving":[106],"this":[107,176],"using":[109],"randomized":[110],"shallow":[111,159],"determining":[114],"boundaries":[116],"location":[118],"associated":[121],"to":[122,132,151,179],"each":[123],"cell.":[124],"We":[125],"exploit":[126],"power":[128],"data-driven":[130],"modeling":[131],"reduce":[133],"computational":[135,187],"cost":[136],"training":[138],"proposed":[141],"problem.":[147],"equivalent":[150],"choosing":[152],"right":[154],"basis":[155],"functions":[156],"architecture":[160],"such":[161],"done":[166],"minimal":[168],"error.":[169],"Our":[170],"experiments":[171],"demonstrate":[172],"superiority":[174],"method":[177],"compared":[178],"its":[180,186],"data-independent":[181],"counterparts":[182],"well":[184],"advantage":[188],"over":[189],"kernel":[190],"methods.":[191]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
