{"id":"https://openalex.org/W3142729857","doi":"https://doi.org/10.1109/tnse.2020.3031347","title":"Leveraging Multiplexing Gain in Network Slice Bundles","display_name":"Leveraging Multiplexing Gain in Network Slice Bundles","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3142729857","doi":"https://doi.org/10.1109/tnse.2020.3031347","mag":"3142729857"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2020.3031347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2020.3031347","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","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/A5100685884","display_name":"Qian Xu","orcid":"https://orcid.org/0000-0001-9350-8273"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Xu","raw_affiliation_strings":["Institute of Cyberspace Security and College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9350-8273","affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security and College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019054175","display_name":"Xiang Yan","orcid":"https://orcid.org/0000-0002-2574-5995"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Yan","raw_affiliation_strings":["Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641549","display_name":"Kui Wu","orcid":"https://orcid.org/0000-0002-2069-0032"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kui Wu","raw_affiliation_strings":["Department of Computer Science, University of Victoria, Victoria, BC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-2069-0032","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Victoria, Victoria, BC, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356291","display_name":"Jianping Wang","orcid":"https://orcid.org/0000-0002-9318-1482"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jianping Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-9318-1482","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066981817","display_name":"Kejie Lu","orcid":"https://orcid.org/0000-0002-6315-2031"},"institutions":[{"id":"https://openalex.org/I60388903","display_name":"University of Puerto Rico-Mayaguez","ror":"https://ror.org/00wek6x04","country_code":"PR","type":"education","lineage":["https://openalex.org/I200399037","https://openalex.org/I60388903"]}],"countries":["PR"],"is_corresponding":false,"raw_author_name":"Kejie Lu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Puerto Rico at Mayag\u00fcez, Mayag\u00fcez, PR, Puerto Rico"],"raw_orcid":"https://orcid.org/0000-0002-6315-2031","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Puerto Rico at Mayag\u00fcez, Mayag\u00fcez, PR, Puerto Rico","institution_ids":["https://openalex.org/I60388903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048871266","display_name":"Weiwei Wu","orcid":"https://orcid.org/0000-0001-9172-6955"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Wu","raw_affiliation_strings":["Department of Computer Science, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9172-6955","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1546,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5667467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"8","issue":"1","first_page":"149","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998999834060669,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998999834060669,"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/T12127","display_name":"Software System Performance and Reliability","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"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9976999759674072,"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":0.7852447628974915},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6908302307128906},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.6592158079147339},{"id":"https://openalex.org/keywords/bundle","display_name":"Bundle","score":0.6133846640586853},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5624175667762756},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5038604140281677},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4978673458099365},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.43714502453804016},{"id":"https://openalex.org/keywords/network-performance","display_name":"Network performance","score":0.4207095503807068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.131798654794693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7852447628974915},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6908302307128906},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.6592158079147339},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.6133846640586853},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5624175667762756},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5038604140281677},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4978673458099365},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.43714502453804016},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.4207095503807068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.131798654794693},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2020.3031347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2020.3031347","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W105261775","https://openalex.org/W254944847","https://openalex.org/W1542883217","https://openalex.org/W1605941627","https://openalex.org/W1607947252","https://openalex.org/W1671522217","https://openalex.org/W1987582408","https://openalex.org/W2016601686","https://openalex.org/W2051000513","https://openalex.org/W2062761494","https://openalex.org/W2066671865","https://openalex.org/W2093590637","https://openalex.org/W2103146112","https://openalex.org/W2132258126","https://openalex.org/W2147600044","https://openalex.org/W2162964807","https://openalex.org/W2167603139","https://openalex.org/W2345842246","https://openalex.org/W2488445073","https://openalex.org/W2496609900","https://openalex.org/W2499865049","https://openalex.org/W2523246573","https://openalex.org/W2604174486","https://openalex.org/W2612472936","https://openalex.org/W2762605243","https://openalex.org/W2784296952","https://openalex.org/W2891230096","https://openalex.org/W2894954515","https://openalex.org/W2910790589","https://openalex.org/W2911820391","https://openalex.org/W2914808220","https://openalex.org/W2915422622","https://openalex.org/W2918840401","https://openalex.org/W2944956154","https://openalex.org/W2948268323","https://openalex.org/W2950303912","https://openalex.org/W2963035276","https://openalex.org/W2963867952","https://openalex.org/W2964016278","https://openalex.org/W2964273049","https://openalex.org/W2969985720","https://openalex.org/W2970706905","https://openalex.org/W2970731410","https://openalex.org/W3015825841","https://openalex.org/W4206809386","https://openalex.org/W4230527473","https://openalex.org/W4236127247","https://openalex.org/W6604353164","https://openalex.org/W6675425144","https://openalex.org/W6727249380","https://openalex.org/W6730199527","https://openalex.org/W6754582438","https://openalex.org/W6762840543","https://openalex.org/W6763777643","https://openalex.org/W7065312267"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W4384890880","https://openalex.org/W4312613015","https://openalex.org/W2768698792"],"abstract_inverted_index":{"In":[0],"this":[1,95],"paper,":[2],"we":[3,27,97,157],"propose":[4,28],"strategies":[5],"and":[6,18,44,69,81,132,139,179],"develop":[7,146],"solutions":[8],"for":[9],"a":[10,20,29,53,83,100,122,147],"network":[11,24,33,47,54,71,119,175],"service":[12,67],"provider":[13],"(NSP)":[14],"to":[15,106,111,121],"cost-effectively":[16],"provision":[17],"manage":[19],"large":[21],"number":[22],"of":[23,91,124,137,142],"slices.":[25],"Specifically,":[26],"novel":[30,148],"framework,":[31,96],"namely,":[32],"slice":[34,48,55,153,176],"bundling,":[35],"in":[36,50,61,73],"which":[37,103],"(1)":[38],"an":[39,129],"NSP":[40],"can":[41,57,77,171],"allocate":[42],"resources":[43,80],"create":[45],"multiple":[46,118],"bundles":[49],"advance,":[51],"(2)":[52],"request":[56],"be":[58],"quickly":[59],"instantiated":[60],"the":[62,74,79,88,108,113,135,140,143,168,174,185],"bundle":[63,76],"that":[64,167],"supports":[65],"its":[66],"requirements,":[68],"(3)":[70],"slices":[72,120],"same":[75],"share":[78],"achieve":[82,180],"multiplexing":[84,109],"gain":[85,110],"by":[86,115],"leveraging":[87],"stochastic":[89],"behaviors":[90],"resource":[92],"usage.":[93],"Within":[94],"focus":[98],"on":[99],"core":[101],"problem,":[102],"is":[104],"how":[105],"leverage":[107],"maximize":[112],"utility":[114,183],"optimally":[116],"assigning":[117],"set":[123],"pre-defined":[125],"bundles.":[126],"We":[127,145],"formulate":[128],"optimization":[130],"problem":[131,178],"theoretically":[133],"analyze":[134],"irregularity":[136],"constraints":[138],"difficulty":[141],"problem.":[144],"reinforcement":[149],"learning":[150],"(RL)":[151],"based":[152],"assignment":[154,177],"solution.":[155],"Finally,":[156],"conduct":[158],"extensive":[159],"data-driven":[160],"simulation":[161],"experiments.":[162],"The":[163],"numerical":[164],"results":[165],"confirm":[166],"proposed":[169],"solution":[170],"efficiently":[172],"solve":[173],"significantly":[181],"higher":[182],"than":[184],"best":[186],"baseline":[187],"algorithm.":[188]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}