{"id":"https://openalex.org/W2975961615","doi":"https://doi.org/10.1109/iccchinaw.2019.8849971","title":"Deep Reinforcement Learning for D2D transmission in unlicensed bands","display_name":"Deep Reinforcement Learning for D2D transmission in unlicensed bands","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2975961615","doi":"https://doi.org/10.1109/iccchinaw.2019.8849971","mag":"2975961615"},"language":"en","primary_location":{"id":"doi:10.1109/iccchinaw.2019.8849971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccchinaw.2019.8849971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops)","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/A5073573699","display_name":"Zhiqun Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiqun Zou","raw_affiliation_strings":["School of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","[School of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China]"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[School of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China]","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015239198","display_name":"Rui Yin","orcid":"https://orcid.org/0000-0003-0252-9664"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yin","raw_affiliation_strings":["School of Information Science and Electrical Engineering, Zhejiang University City College, Hangzhou, China","School of Information Science and Electrical Engineering, Zhejiang University City College, Hangzhou, 310013, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Electrical Engineering, Zhejiang University City College, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Information Science and Electrical Engineering, Zhejiang University City College, Hangzhou, 310013, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065252700","display_name":"Xianfu Chen","orcid":"https://orcid.org/0000-0002-9453-4200"},"institutions":[{"id":"https://openalex.org/I87653560","display_name":"VTT Technical Research Centre of Finland","ror":"https://ror.org/04b181w54","country_code":"FI","type":"nonprofit","lineage":["https://openalex.org/I4210089493","https://openalex.org/I87653560"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Xianfu Chen","raw_affiliation_strings":["VTT Technical Research Centre of Finland, Finland","VTT - Technical Research Centre of Finland, Finland"],"affiliations":[{"raw_affiliation_string":"VTT Technical Research Centre of Finland, Finland","institution_ids":["https://openalex.org/I87653560"]},{"raw_affiliation_string":"VTT - Technical Research Centre of Finland, Finland","institution_ids":["https://openalex.org/I87653560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046333931","display_name":"Celimuge Wu","orcid":"https://orcid.org/0000-0001-6853-5878"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Celimuge Wu","raw_affiliation_strings":["The University of Electro-Communications, Japan","The University of Electro- Communications, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"The University of Electro- Communications, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073573699"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.3115,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81221072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9994000196456909,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9993000030517578,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.775987982749939},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6176828742027283},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5453665852546692},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.44582852721214294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3678925633430481},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.35582518577575684},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3447193503379822},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16208010911941528}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.775987982749939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176828742027283},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5453665852546692},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.44582852721214294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3678925633430481},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.35582518577575684},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3447193503379822},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16208010911941528},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccchinaw.2019.8849971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccchinaw.2019.8849971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.44999998807907104,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1971970648","https://openalex.org/W2073726009","https://openalex.org/W2096487962","https://openalex.org/W2140502378","https://openalex.org/W2140656373","https://openalex.org/W2162598825","https://openalex.org/W2317911375","https://openalex.org/W2346729989","https://openalex.org/W2519717524","https://openalex.org/W2595167321","https://openalex.org/W2741128765","https://openalex.org/W2804448540"],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W1987513656","https://openalex.org/W2072376847","https://openalex.org/W2089013912","https://openalex.org/W2145821588"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,72,96],"reinforcement":[4],"learning":[5,52,85],"based":[6],"approach":[7],"is":[8,43,92],"proposed":[9,51,149],"to":[10,143],"realize":[11],"the":[12,19,31,35,38,46,50,59,67,79,84,87,102,108,115,130,145,148],"distributed":[13],"power":[14,118],"and":[15,117,122],"spectrum":[16,116],"allocation":[17,119],"for":[18],"Device-to-Device":[20],"(D2D)":[21],"communications":[22],"in":[23,71],"unlicensed":[24,63,113,123],"bands,":[25],"named":[26],"as":[27],"D2D-U.":[28],"To":[29,77],"guarantee":[30],"harmonious":[32],"coexistence":[33],"with":[34,101],"WiFi":[36,69,74],"networks,":[37],"conventional":[39],"duty-cycle":[40],"muting":[41],"(DCM)":[42],"employed":[44],"by":[45,94],"D2D-U":[47,54,137],"links.":[48],"With":[49],"approach,":[53],"links":[55],"can":[56,125],"optimally":[57],"select":[58],"time":[60,110],"fraction":[61,111],"on":[62,112,120],"channels":[64],"without":[65],"knowing":[66],"accurate":[68],"traffic":[70],"dynamic":[73],"working":[75],"environment.":[76],"address":[78],"state":[80],"space":[81],"explosion":[82],"during":[83],"process,":[86],"Deep":[88],"Q-learning":[89,104],"network":[90,99],"(DQN)":[91],"adopted":[93],"combining":[95],"deep":[97],"neural":[98],"(DNN)":[100],"traditional":[103],"mechanism.":[105],"After":[106],"obtaining":[107],"available":[109],"channels,":[114],"licensed":[121],"bands":[124],"be":[126],"optimized":[127],"jointly":[128],"via":[129],"classic":[131],"convex":[132],"optimization":[133],"methods":[134],"at":[135],"each":[136],"link.":[138],"Numerical":[139],"results":[140],"are":[141],"demonstrated":[142],"verify":[144],"effectiveness":[146],"of":[147],"approach.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}