{"id":"https://openalex.org/W3192741897","doi":"https://doi.org/10.1109/icc42927.2021.9500466","title":"A Deep Reinforcement Learning-based Routing Scheme with Two Modes for Dynamic Networks","display_name":"A Deep Reinforcement Learning-based Routing Scheme with Two Modes for Dynamic Networks","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3192741897","doi":"https://doi.org/10.1109/icc42927.2021.9500466","mag":"3192741897"},"language":"en","primary_location":{"id":"doi:10.1109/icc42927.2021.9500466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","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/A5065711574","display_name":"Peizhuang Cong","orcid":"https://orcid.org/0000-0003-0563-745X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peizhuang Cong","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649609","display_name":"Yuchao Zhang","orcid":"https://orcid.org/0000-0002-0135-8915"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchao Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329067","display_name":"Wendong Wang","orcid":"https://orcid.org/0000-0002-6418-8087"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wendong Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665814","display_name":"Ke Xu","orcid":"https://orcid.org/0000-0003-2587-8517"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xu","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665328","display_name":"Ruidong Li","orcid":"https://orcid.org/0000-0002-9905-8952"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ruidong Li","raw_affiliation_strings":["National Institute of Information and Communications Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083598234","display_name":"Fuliang Li","orcid":"https://orcid.org/0000-0001-9782-0053"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Fuliang Li","raw_affiliation_strings":["Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8139,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65793731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9995999932289124,"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/T10714","display_name":"Software-Defined Networks and 5G","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/T10847","display_name":"Advanced Optical Network Technologies","score":0.9944000244140625,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9818000197410583,"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":0.8022812604904175},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6884485483169556},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6805535554885864},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6493884325027466},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5577558875083923},{"id":"https://openalex.org/keywords/policy-based-routing","display_name":"Policy-based routing","score":0.5374889969825745},{"id":"https://openalex.org/keywords/static-routing","display_name":"Static routing","score":0.5263009071350098},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5181999802589417},{"id":"https://openalex.org/keywords/hierarchical-routing","display_name":"Hierarchical routing","score":0.5131204724311829},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5096819400787354},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5073427557945251},{"id":"https://openalex.org/keywords/dynamic-source-routing","display_name":"Dynamic Source Routing","score":0.4820204973220825},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.44609972834587097},{"id":"https://openalex.org/keywords/link-state-routing-protocol","display_name":"Link-state routing protocol","score":0.4355519115924835},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4201543927192688},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.41671738028526306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24309787154197693},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09388956427574158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022812604904175},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6884485483169556},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6805535554885864},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6493884325027466},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5577558875083923},{"id":"https://openalex.org/C196423136","wikidata":"https://www.wikidata.org/wiki/Q7209671","display_name":"Policy-based routing","level":5,"score":0.5374889969825745},{"id":"https://openalex.org/C204948658","wikidata":"https://www.wikidata.org/wiki/Q1119410","display_name":"Static routing","level":4,"score":0.5263009071350098},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5181999802589417},{"id":"https://openalex.org/C177818476","wikidata":"https://www.wikidata.org/wiki/Q12878103","display_name":"Hierarchical routing","level":5,"score":0.5131204724311829},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5096819400787354},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5073427557945251},{"id":"https://openalex.org/C9659607","wikidata":"https://www.wikidata.org/wiki/Q1268903","display_name":"Dynamic Source Routing","level":4,"score":0.4820204973220825},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.44609972834587097},{"id":"https://openalex.org/C89305328","wikidata":"https://www.wikidata.org/wiki/Q1755411","display_name":"Link-state routing protocol","level":4,"score":0.4355519115924835},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4201543927192688},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.41671738028526306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24309787154197693},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09388956427574158},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/icc42927.2021.9500466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","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":33,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W2118404561","https://openalex.org/W2121863487","https://openalex.org/W2173248099","https://openalex.org/W2620303912","https://openalex.org/W2744567246","https://openalex.org/W2768254111","https://openalex.org/W2799020319","https://openalex.org/W2918891759","https://openalex.org/W2950395671","https://openalex.org/W2954607187","https://openalex.org/W2963407617","https://openalex.org/W2963864421","https://openalex.org/W2967062414","https://openalex.org/W2987229805","https://openalex.org/W2994779073","https://openalex.org/W3002189898","https://openalex.org/W3007912082","https://openalex.org/W3011160751","https://openalex.org/W3043715968","https://openalex.org/W3044536325","https://openalex.org/W3045876226","https://openalex.org/W3046046019","https://openalex.org/W3049282540","https://openalex.org/W3082335637","https://openalex.org/W3091864988","https://openalex.org/W4299802797","https://openalex.org/W6684921986","https://openalex.org/W6735579001","https://openalex.org/W6738796088","https://openalex.org/W6750790946","https://openalex.org/W6764967893","https://openalex.org/W6771323111"],"related_works":["https://openalex.org/W1997091564","https://openalex.org/W2102655743","https://openalex.org/W2607223747","https://openalex.org/W2081964190","https://openalex.org/W2117123509","https://openalex.org/W2082566976","https://openalex.org/W3193458326","https://openalex.org/W2372626604","https://openalex.org/W2740434786","https://openalex.org/W2012247215"],"abstract_inverted_index":{"With":[0],"the":[1,46,65,83,136,140,143,158],"development":[2],"of":[3,14,48,67,118,131],"communication":[4],"and":[5,9,16,24,51,62,70,86,114,120,138],"transmission":[6],"technologies,":[7],"more":[8,10,19,32,77],"applications,":[11],"like":[12],"Internet":[13],"vehicles":[15],"tele-medicine,":[17],"become":[18,76],"sensitive":[20],"to":[21,30,36,98,101,103,147,153,162],"network":[22,104],"latency":[23],"accuracy,":[25],"which":[26],"requires":[27],"routing":[28,42,75,94,124],"schemes":[29,125],"be":[31,56,99],"efficient.":[33],"In":[34,109],"order":[35],"meet":[37],"such":[38],"urgent":[39],"need,":[40],"learning-based":[41,93,123],"strategies":[43,54],"emerges,":[44],"with":[45,149,164],"advantages":[47,66],"high":[49,68,71,169],"flexibility":[50],"accuracy.":[52],"These":[53],"can":[55],"divided":[57],"into":[58],"two":[59,117],"categories,":[60],"centralized":[61,119,144],"distributed,":[63],"enjoying":[64],"precision":[69],"efficiency,":[72],"respectively.":[73],"However,":[74],"complex":[78],"in":[79,106],"dynamic":[80,150],"network,":[81],"where":[82],"link":[84],"connections":[85],"access":[87],"states":[88],"are":[89,96],"time-varying,":[90],"so":[91],"these":[92],"mechanisms":[95],"required":[97],"able":[100],"adapt":[102],"changes":[105],"real":[107],"time.":[108],"this":[110],"paper,":[111],"we":[112,133],"designed":[113],"implemented":[115],"both":[116],"distributed":[121,159],"reinforcement":[122],"(RLR-T).":[126],"By":[127],"conducting":[128],"a":[129],"series":[130],"experiments,":[132],"deeply":[134],"analyzed":[135],"results":[137],"gave":[139],"conclusion":[141],"that":[142],"is":[145,160],"better":[146,161],"cope":[148],"networks":[151,166],"due":[152],"its":[154,168],"faster":[155],"reconvergence,":[156],"while":[157],"handle":[163],"large-scale":[165],"by":[167],"scalability.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
