{"id":"https://openalex.org/W2731308584","doi":"https://doi.org/10.23919/wiopt.2017.7959922","title":"A non-monetary mechanism for optimal rate control through efficient delay allocation","display_name":"A non-monetary mechanism for optimal rate control through efficient delay allocation","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2731308584","doi":"https://doi.org/10.23919/wiopt.2017.7959922","mag":"2731308584"},"language":"en","primary_location":{"id":"doi:10.23919/wiopt.2017.7959922","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt.2017.7959922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)","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/A5075427265","display_name":"Tao Zhao","orcid":"https://orcid.org/0000-0003-0395-9260"},"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":"Tao Zhao","raw_affiliation_strings":["Department of ECE, Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009088276","display_name":"Korok Ray","orcid":"https://orcid.org/0000-0001-8477-8079"},"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":"Korok Ray","raw_affiliation_strings":["Mays School of Business, Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mays School of Business, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060672325","display_name":"I-Hong Hou","orcid":"https://orcid.org/0000-0002-1166-8773"},"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":"I-Hong Hou","raw_affiliation_strings":["Department of ECE, Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9995999932289124,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9995999932289124,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9983999729156494,"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8128148317337036},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6364799737930298},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.5987975597381592},{"id":"https://openalex.org/keywords/fifo","display_name":"FIFO (computing and electronics)","score":0.5698633790016174},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3841172456741333},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37754538655281067},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3607025742530823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128148317337036},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6364799737930298},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.5987975597381592},{"id":"https://openalex.org/C2777145635","wikidata":"https://www.wikidata.org/wiki/Q515636","display_name":"FIFO (computing and electronics)","level":2,"score":0.5698633790016174},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3841172456741333},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37754538655281067},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3607025742530823},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/wiopt.2017.7959922","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt.2017.7959922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 15th 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":[{"display_name":"Industry, innovation and infrastructure","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1608295572","https://openalex.org/W1995643834","https://openalex.org/W2004224914","https://openalex.org/W2018189500","https://openalex.org/W2061657011","https://openalex.org/W2071314114","https://openalex.org/W2078040677","https://openalex.org/W2101182788","https://openalex.org/W2105408916","https://openalex.org/W2150339484","https://openalex.org/W2156026358","https://openalex.org/W2168902419","https://openalex.org/W2423722777","https://openalex.org/W3122854536","https://openalex.org/W3125116872","https://openalex.org/W4240896209"],"related_works":["https://openalex.org/W2158430778","https://openalex.org/W2533984654","https://openalex.org/W2146472422","https://openalex.org/W4256423923","https://openalex.org/W2204443280","https://openalex.org/W2099916552","https://openalex.org/W2364285419","https://openalex.org/W2127397445","https://openalex.org/W2889472141","https://openalex.org/W3208555787"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,111,123,152],"practical":[4],"non-monetary":[5],"mechanism":[6,141,154],"that":[7,59],"induces":[8],"the":[9,13,35,38,43,65,75,78,98,102,129,134],"efficient":[10,71,93],"solution":[11],"to":[12,26,100,115,131,133],"optimal":[14],"rate":[15,25,125,160],"control":[16,126],"problem,":[17],"where":[18,74],"each":[19,82,106],"client":[20,83],"optimizes":[21],"its":[22,28],"request":[23],"arrival":[24],"maximize":[27],"own":[29],"net":[30,40],"utility":[31,41],"individually,":[32],"and":[33,158],"at":[34],"Nash":[36,135],"Equilibrium":[37],"total":[39],"of":[42,105,139],"system":[44,130],"is":[45,60,68,142],"also":[46],"maximized.":[47],"Existing":[48],"mechanisms":[49],"typically":[50],"rely":[51],"on":[52,70,147],"monetary":[53],"exchange":[54],"which":[55],"requires":[56],"additional":[57],"infrastructure":[58],"not":[61],"always":[62],"available.":[63],"Instead,":[64],"proposed":[66],"protocol":[67,127],"based":[69],"delay":[72,79,94,104,118],"allocation,":[73],"server":[76,99],"controls":[77],"experienced":[80],"by":[81],"through":[84],"an":[85,92],"intelligent":[86],"scheduling":[87,113,157],"policy.":[88],"Specifically,":[89],"we":[90,109,121],"present":[91],"allocation":[95],"rule":[96],"for":[97,128],"determine":[101],"target":[103],"client.":[107],"Then":[108],"propose":[110],"simple":[112],"policy":[114],"achieve":[116],"such":[117],"allocation.":[119],"Furthermore,":[120],"design":[122],"distributed":[124],"converge":[132],"Equilibrium.":[136],"The":[137],"optimality":[138],"our":[140],"validated":[143],"via":[144],"extensive":[145],"simulations":[146],"two":[148],"representative":[149],"systems":[150],"against":[151],"baseline":[153],"with":[155],"FIFO":[156],"centralized":[159],"control.":[161]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}