{"id":"https://openalex.org/W2076761096","doi":"https://doi.org/10.1145/2079296.2079298","title":"Dynamic channel, rate selection and scheduling for white spaces","display_name":"Dynamic channel, rate selection and scheduling for white spaces","publication_year":2011,"publication_date":"2011-12-06","ids":{"openalex":"https://openalex.org/W2076761096","doi":"https://doi.org/10.1145/2079296.2079298","mag":"2076761096"},"language":"en","primary_location":{"id":"doi:10.1145/2079296.2079298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2079296.2079298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies","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/A5031491047","display_name":"Bo\u017eidar Radunovi\u0107","orcid":"https://orcid.org/0009-0002-9187-0169"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":true,"raw_author_name":"Bozidar Radunovic","raw_affiliation_strings":["Microsoft Research, Cambridge, UK","Microsoft Research, Cambridge, UK;"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, UK;","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025136069","display_name":"Alexandre Prouti\u00e8re","orcid":"https://orcid.org/0000-0002-4679-4673"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Alexandre Proutiere","raw_affiliation_strings":["KTH, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083201687","display_name":"Dinan Gunawardena","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Dinan Gunawardena","raw_affiliation_strings":["Microsoft Research, Cambridge, UK","Microsoft Research, Cambridge, UK;"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, UK;","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053550912","display_name":"Peter Key","orcid":"https://orcid.org/0000-0003-4799-368X"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Peter Key","raw_affiliation_strings":["Microsoft Research, Cambridge, UK","Microsoft Research, Cambridge, UK;"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, UK;","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031491047"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":4.1343,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94152857,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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/T10148","display_name":"Advanced MIMO Systems Optimization","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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9994999766349792,"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":0.7966001629829407},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7264257669448853},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6618291735649109},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6392998695373535},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5605458617210388},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4892005920410156},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4787682592868805},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4738500416278839},{"id":"https://openalex.org/keywords/white-spaces","display_name":"White spaces","score":0.4686557352542877},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4524267911911011},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4402843117713928},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17911091446876526},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.17262372374534607},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.14579778909683228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7966001629829407},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7264257669448853},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6618291735649109},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6392998695373535},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5605458617210388},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4892005920410156},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4787682592868805},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4738500416278839},{"id":"https://openalex.org/C96391052","wikidata":"https://www.wikidata.org/wiki/Q256313","display_name":"White spaces","level":4,"score":0.4686557352542877},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4524267911911011},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4402843117713928},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17911091446876526},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.17262372374534607},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.14579778909683228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2079296.2079298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2079296.2079298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies","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":39,"referenced_works":["https://openalex.org/W78792064","https://openalex.org/W1499021337","https://openalex.org/W1570163350","https://openalex.org/W1570963478","https://openalex.org/W1944301273","https://openalex.org/W1995612435","https://openalex.org/W1997834106","https://openalex.org/W2000029122","https://openalex.org/W2020254732","https://openalex.org/W2029199203","https://openalex.org/W2057556122","https://openalex.org/W2067644577","https://openalex.org/W2095157403","https://openalex.org/W2095280533","https://openalex.org/W2102449144","https://openalex.org/W2108890528","https://openalex.org/W2110981381","https://openalex.org/W2113414335","https://openalex.org/W2116008926","https://openalex.org/W2117466297","https://openalex.org/W2120015434","https://openalex.org/W2120145030","https://openalex.org/W2121669578","https://openalex.org/W2123206149","https://openalex.org/W2130762526","https://openalex.org/W2141789294","https://openalex.org/W2142819538","https://openalex.org/W2144460759","https://openalex.org/W2144776022","https://openalex.org/W2146025745","https://openalex.org/W2161054371","https://openalex.org/W2161822490","https://openalex.org/W2168405694","https://openalex.org/W2168821867","https://openalex.org/W2170705708","https://openalex.org/W2947000318","https://openalex.org/W4302033506","https://openalex.org/W6603204720","https://openalex.org/W6603612406"],"related_works":["https://openalex.org/W2130966263","https://openalex.org/W2360926944","https://openalex.org/W2620021742","https://openalex.org/W2107917802","https://openalex.org/W1994781067","https://openalex.org/W1559745386","https://openalex.org/W4312371084","https://openalex.org/W2296141898","https://openalex.org/W1969740176","https://openalex.org/W2768576268"],"abstract_inverted_index":{"We":[0,23,46,79,103],"investigate":[1],"dynamic":[2],"channel,":[3],"rate":[4,92],"selection":[5,146],"and":[6,42,49,59,71,91,128],"scheduling":[7,108],"for":[8,93,110],"wireless":[9],"systems":[10],"which":[11],"exploit":[12],"the":[13,20,37,54,61,68,76,88,121],"large":[14],"number":[15],"of":[16,27,56],"channels":[17],"available":[18],"in":[19,36,53,64,96,113,125],"White-space":[21],"spectrum.":[22],"first":[24],"present":[25],"measurements":[26],"radio":[28],"channel":[29,70,90,100,145],"characteristics":[30],"from":[31,66,73,137],"an":[32,114],"indoor":[33],"testbed":[34],"operating":[35],"500":[38],"to":[39,85,139,142],"600MHz":[40],"band":[41],"comprising":[43],"11":[44],"channels.":[45],"observe":[47],"significant":[48,133],"unpredictable":[50],"(non-stationary)":[51],"variations":[52],"quality":[55],"these":[57],"channels,":[58],"demonstrate":[60,129],"potential":[62],"benefit":[63],"throughput":[65,134],"tracking":[67],"best":[69,89],"also":[72,104],"optimally":[74],"adapting":[75],"transmission":[77],"rate.":[78],"propose":[80],"adaptive":[81,123],"learning":[82],"schemes":[83],"able":[84],"efficiently":[86],"track":[87],"transmission,":[94],"even":[95],"scenarios":[97],"with":[98],"non-stationary":[99],"condition":[101],"variations.":[102],"describe":[105],"a":[106],"joint":[107],"scheme":[109,124],"providing":[111],"fairness":[112],"Access":[115],"Point":[116],"scenario.":[117],"Finally,":[118],"we":[119],"implement":[120],"proposed":[122],"our":[126],"testbed,":[127],"that":[130],"it":[131],"achieves":[132],"improvement":[135],"(typically":[136],"40%":[138],"100%)":[140],"compared":[141],"traditional":[143],"fixed":[144],"schemes.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
