{"id":"https://openalex.org/W2327902410","doi":"https://doi.org/10.1109/tvt.2016.2542784","title":"Efficient Mechanism Design for Competitive Carrier Selection and Rate Allocation","display_name":"Efficient Mechanism Design for Competitive Carrier Selection and Rate Allocation","publication_year":2016,"publication_date":"2016-03-15","ids":{"openalex":"https://openalex.org/W2327902410","doi":"https://doi.org/10.1109/tvt.2016.2542784","mag":"2327902410"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2016.2542784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2016.2542784","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5015673212","display_name":"Yanting Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanting Wu","raw_affiliation_strings":["Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063784062","display_name":"Bhaskar Krishnamachari","orcid":"https://orcid.org/0000-0002-9994-9931"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhaskar Krishnamachari","raw_affiliation_strings":["Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015459695","display_name":"George Rabanca","orcid":null},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Rabanca","raw_affiliation_strings":["Department of Computer Science, The City University of New York, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The City University of New York, New York, NY, USA","institution_ids":["https://openalex.org/I174216632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050059210","display_name":"Amotz Bar-Noy","orcid":"https://orcid.org/0009-0004-7021-9072"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amotz Bar-Noy","raw_affiliation_strings":["Department of Computer Science, The City University of New York, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The City University of New York, New York, NY, USA","institution_ids":["https://openalex.org/I174216632"]}]}],"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":0.02225945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"65","issue":"12","first_page":"10222","last_page":"10226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9973999857902527,"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":0.9972000122070312,"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":0.6745108366012573},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.56356281042099},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.5259911417961121},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5137909054756165},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.4963553547859192},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47524547576904297},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.46878114342689514},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.41978174448013306},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.41087377071380615},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.26380956172943115},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21370136737823486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11994063854217529}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6745108366012573},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.56356281042099},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.5259911417961121},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5137909054756165},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.4963553547859192},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47524547576904297},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.46878114342689514},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.41978174448013306},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.41087377071380615},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.26380956172943115},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21370136737823486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11994063854217529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2016.2542784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2016.2542784","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W32236076","https://openalex.org/W608347107","https://openalex.org/W1552995248","https://openalex.org/W1557486844","https://openalex.org/W1569826894","https://openalex.org/W1593611744","https://openalex.org/W1602880014","https://openalex.org/W1822550920","https://openalex.org/W1985686553","https://openalex.org/W1994080576","https://openalex.org/W2002096806","https://openalex.org/W2008939017","https://openalex.org/W2012344035","https://openalex.org/W2012746218","https://openalex.org/W2044453454","https://openalex.org/W2055515382","https://openalex.org/W2066930192","https://openalex.org/W2098432861","https://openalex.org/W2099506374","https://openalex.org/W2115459592","https://openalex.org/W2117031884","https://openalex.org/W2119887686","https://openalex.org/W2119991886","https://openalex.org/W2129265278","https://openalex.org/W2130019790","https://openalex.org/W2131909533","https://openalex.org/W2135946392","https://openalex.org/W2142901448","https://openalex.org/W2143535483","https://openalex.org/W2151504984","https://openalex.org/W2152332139","https://openalex.org/W2153186812","https://openalex.org/W2159768901","https://openalex.org/W2162189707","https://openalex.org/W2172126890","https://openalex.org/W2244037856","https://openalex.org/W2421011736","https://openalex.org/W2465547397"],"related_works":["https://openalex.org/W2355663289","https://openalex.org/W2106913410","https://openalex.org/W4380372336","https://openalex.org/W2354248671","https://openalex.org/W2359134391","https://openalex.org/W2947628004","https://openalex.org/W2935229758","https://openalex.org/W2352791832","https://openalex.org/W2502435347","https://openalex.org/W4309910562"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"a":[3,14,25,35,65,70],"problem":[4],"where":[5,37],"multiple":[6],"operators":[7,167],"(carriers)":[8],"compete":[9],"to":[10,49,84,166,169],"carry":[11],"data":[12],"from":[13,154],"customer":[15],"(transmitter).":[16],"To":[17,131],"optimally":[18],"utilize":[19],"its":[20],"power":[21,119],"and":[22,40,74,120,147,173],"allocate":[23],"rates,":[24],"transmitter":[26],"needs":[27],"truthful":[28,86],"information":[29,87,106,127],"on":[30,60,69,88,107,128],"link":[31,89,108],"performance.":[32,90],"However,":[33],"in":[34,113,145],"scenario":[36],"the":[38,96,114,117,133,136,178],"selection":[39],"switching":[41],"of":[42,98,135,177],"carriers":[43,83],"happens":[44],"dynamically,":[45],"it":[46],"is":[47,102,163],"challenging":[48],"regulate":[50],"carriers'":[51],"behavior":[52],"using":[53,141],"traditional":[54],"payment":[55,66],"design":[56],"such":[57],"as":[58,95],"based":[59,68],"byte":[61],"counting.":[62],"We":[63,91],"propose":[64],"mechanism":[67,79],"convex":[71],"piecewise-linear":[72],"function":[73],"prove":[75],"that":[76,94,149],"this":[77,155,161],"simple":[78],"provides":[80],"incentives":[81],"for":[82],"provide":[85],"also":[92,164],"show":[93,148],"number":[97],"bits":[99],"per":[100],"bid":[101],"increased,":[103],"more":[104,170,174],"accurate":[105],"performance":[109,134],"can":[110],"be":[111],"encoded":[112],"bids;":[115],"consequently,":[116],"transmitter's":[118],"rate":[121],"allocation":[122],"approaches":[123],"optimality":[124],"with":[125],"perfect":[126],"channel":[129],"statistics.":[130],"validate":[132],"model,":[137],"we":[138],"conduct":[139],"simulations":[140],"real":[142],"base-station":[143],"locations":[144],"London":[146],"not":[150],"only":[151],"customers":[152,172],"benefit":[153],"model":[156,162],"by":[157],"having":[158],"higher":[159],"throughput,":[160],"profitable":[165],"due":[168],"potential":[171],"efficient":[175],"use":[176],"channels.":[179]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}