{"id":"https://openalex.org/W2434977223","doi":"https://doi.org/10.1109/wiopt.2016.7492924","title":"Dense indoor mmWave wearable networks: Managing interference and scalable MAC","display_name":"Dense indoor mmWave wearable networks: Managing interference and scalable MAC","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2434977223","doi":"https://doi.org/10.1109/wiopt.2016.7492924","mag":"2434977223"},"language":"en","primary_location":{"id":"doi:10.1109/wiopt.2016.7492924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiopt.2016.7492924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)","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/A5101460462","display_name":"Yicong Wang","orcid":"https://orcid.org/0009-0000-2712-3199"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yicong Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas, Austin"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008917819","display_name":"Gustavo de Veciana","orcid":"https://orcid.org/0000-0002-1498-494X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gustavo de Veciana","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas, Austin"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas, Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101460462"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.7351,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74325934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"8"},"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":0.9994999766349792,"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/T12146","display_name":"Power Line Communications and Noise","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7650454044342041},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6973169445991516},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6763758659362793},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5542994141578674},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.511760950088501},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5023434162139893},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.48631319403648376},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.45460739731788635},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4479404091835022},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.44225984811782837},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.16660255193710327},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13647550344467163},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1211252510547638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08939415216445923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650454044342041},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6973169445991516},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6763758659362793},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5542994141578674},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.511760950088501},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5023434162139893},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.48631319403648376},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45460739731788635},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4479404091835022},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44225984811782837},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16660255193710327},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13647550344467163},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1211252510547638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08939415216445923},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wiopt.2016.7492924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiopt.2016.7492924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)","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":16,"referenced_works":["https://openalex.org/W1926573855","https://openalex.org/W1954545506","https://openalex.org/W1995280632","https://openalex.org/W2001677103","https://openalex.org/W2031858701","https://openalex.org/W2084282344","https://openalex.org/W2104557602","https://openalex.org/W2113257905","https://openalex.org/W2125399488","https://openalex.org/W2143757508","https://openalex.org/W2154075755","https://openalex.org/W2157725608","https://openalex.org/W2165232124","https://openalex.org/W4206545993","https://openalex.org/W4254115559","https://openalex.org/W6658527482"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2136583354","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W2111238207"],"abstract_inverted_index":{"MmWave":[0],"based":[1,99],"wearable":[2,140],"networks":[3,141],"will":[4,142],"need":[5],"to":[6,46,53,62,79,91,112],"function":[7],"in":[8,26,68,145],"various":[9],"environments":[10],"including":[11],"possibly":[12],"high":[13,130],"density":[14],"settings,":[15],"e.g.,":[16],"train":[17],"cars.":[18],"At":[19],"such":[20],"densities":[21,131],"one":[22],"might":[23],"expect":[24],"challenges":[25],"interference":[27],"management":[28],"and/or":[29],"excessive":[30],"overheads":[31],"tracking":[32],"and":[33,51,58,102],"jointly":[34],"scheduling":[35],"interferers.":[36],"In":[37],"this":[38],"paper":[39],"we":[40,126],"use":[41],"simple":[42,89],"stochastic":[43],"geometric":[44],"models":[45],"examine":[47],"the":[48,74,93,120,132],"characteristics":[49],"(number":[50],"sensitivity":[52],"motion)":[54],"of":[55,95,122],"\"strong":[56],"interferers\"":[57],"show":[59,127],"that":[60,128],"due":[61],"blocking":[63],"they":[64],"are":[65],"not":[66],"monotonic":[67],"user":[69,83,134],"density.":[70],"Indeed,":[71],"perhaps":[72],"surprisingly,":[73],"most":[75],"challenging":[76],"setting":[77],"appears":[78],"arise":[80],"at":[81,129],"\"intermediate\"":[82],"densities.":[84],"We":[85],"then":[86],"propose":[87],"a":[88,108],"model":[90],"evaluate":[92],"performance":[94,109],"current":[96],"MAC":[97],"designs":[98],"on":[100,119],"clustering":[101],"hierarchical":[103],"scheduling.":[104],"The":[105],"results":[106],"exhibit":[107],"trade-off":[110],"leading":[111],"an":[113],"optimal":[114],"cluster":[115],"size":[116],"which":[117],"depends":[118],"directionality":[121],"transmissions.":[123],"More":[124],"importantly,":[125],"per":[133],"throughput":[135],"is":[136],"roughly":[137],"constant,":[138],"suggesting":[139],"scale":[143],"well":[144],"dense":[146],"scenarios.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}