{"id":"https://openalex.org/W3010436150","doi":"https://doi.org/10.1109/icoin48656.2020.9016474","title":"Dynamic Channel Allocation for Satellite Internet of Things via Deep Reinforcement Learning","display_name":"Dynamic Channel Allocation for Satellite Internet of Things via Deep Reinforcement Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3010436150","doi":"https://doi.org/10.1109/icoin48656.2020.9016474","mag":"3010436150"},"language":"en","primary_location":{"id":"doi:10.1109/icoin48656.2020.9016474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin48656.2020.9016474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information Networking (ICOIN)","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/A5100347856","display_name":"Jiahao Liu","orcid":"https://orcid.org/0009-0008-0165-1688"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahao Liu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, ChangSha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055202882","display_name":"Baokang Zhao","orcid":"https://orcid.org/0000-0001-9200-9018"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baokang Zhao","raw_affiliation_strings":["School of Computer, National University of Defense Technology, ChangSha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050608316","display_name":"Qin Xin","orcid":"https://orcid.org/0000-0002-6178-8538"},"institutions":[{"id":"https://openalex.org/I103146751","display_name":"University of the Faroe Islands","ror":"https://ror.org/05mwmd090","country_code":"FO","type":"education","lineage":["https://openalex.org/I103146751"]}],"countries":["FO"],"is_corresponding":false,"raw_author_name":"Qin Xin","raw_affiliation_strings":["Faculty of Science and Technology, University of the Faroe Islands, Torshavn, Faroe Islands"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of the Faroe Islands, Torshavn, Faroe Islands","institution_ids":["https://openalex.org/I103146751"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100321309","display_name":"Hua Liu","orcid":"https://orcid.org/0000-0002-0634-2883"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua Liu","raw_affiliation_strings":["The People\u2019s Liberation Army Troop, China","The People's Liberation Army Troop, China"],"affiliations":[{"raw_affiliation_string":"The People\u2019s Liberation Army Troop, China","institution_ids":[]},{"raw_affiliation_string":"The People's Liberation Army Troop, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100347856"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":2.0707,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87335717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"465","last_page":"470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12042","display_name":"Satellite Communication Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12042","display_name":"Satellite Communication Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12079","display_name":"IoT Networks and Protocols","score":0.9970999956130981,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9968000054359436,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7405670285224915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127896547317505},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5745542049407959},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5645085573196411},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.49085742235183716},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4828203618526459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3821214437484741},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3434576392173767},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3352634906768799},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.33089759945869446},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2433534562587738},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1280457079410553},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.07094845175743103}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7405670285224915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127896547317505},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5745542049407959},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5645085573196411},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.49085742235183716},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4828203618526459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3821214437484741},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3434576392173767},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3352634906768799},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.33089759945869446},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2433534562587738},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1280457079410553},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.07094845175743103}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin48656.2020.9016474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin48656.2020.9016474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1515851193","https://openalex.org/W1757796397","https://openalex.org/W2015158056","https://openalex.org/W2145339207","https://openalex.org/W2257979135","https://openalex.org/W2546571074","https://openalex.org/W2743363440","https://openalex.org/W2801358835","https://openalex.org/W2900703377","https://openalex.org/W2903314241","https://openalex.org/W2907051988","https://openalex.org/W2948756620","https://openalex.org/W2949695928","https://openalex.org/W2955698254"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W4306904969","https://openalex.org/W2950174689","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W2138720691"],"abstract_inverted_index":{"Dynamic":[0],"channel":[1,79,100,169],"allocation":[2,57,80,101,121,136,170],"is":[3,89],"one":[4],"of":[5,17,23,39,106,114,128,135,142],"the":[6,26,34,37,99,110,116,124,166],"most":[7],"attractive":[8],"and":[9,15,44,149],"important":[10],"issues":[11],"to":[12,66],"realize":[13],"flexibility":[14],"efficiency":[16,141],"data":[18,157],"transmission":[19,50,112,158,181],"in":[20,48,103,144,178],"satellite":[21,104],"Internet":[22,105],"Things.":[24,107],"However,":[25],"traditional":[27],"random":[28],"access":[29],"methods":[30],"are":[31,59],"inefficient":[32],"for":[33,62,98],"scenarios":[35,64],"when":[36],"number":[38],"sensors":[40,117],"exceeds":[41],"certain":[42],"limits":[43],"it":[45,175],"also":[46,176],"results":[47,177],"low":[49],"success":[51,182],"rates.":[52,183],"Moreover,":[53],"existing":[54],"heuristics":[55],"resource":[56],"algorithms":[58],"not":[60],"practical":[61],"such":[63],"due":[65],"high":[67,140],"computational":[68],"complexity.":[69],"To":[70],"address":[71],"these":[72],"matters,":[73],"we":[74],"propose":[75],"a":[76,95,145,173],"centralized":[77],"dynamic":[78],"method":[81,154],"based":[82],"on":[83],"deep":[84,129],"reinforcement":[85],"learning":[86,134],"(DRL),":[87],"which":[88],"called":[90],"CA-DRL.":[91],"CA-":[92],"DRL":[93],"develops":[94],"novel":[96],"representation":[97,126],"problem":[102],"It":[108],"minimizes":[109],"average":[111],"latency":[113,159],"all":[115],"by":[118,160],"making":[119],"smart":[120],"decisions":[122],"with":[123,165],"powerful":[125],"ability":[127],"neural":[130],"networks":[131],"through":[132],"constant":[133],"policies.":[137],"We":[138],"demonstrate":[139],"CA-DRL":[143],"simulated":[146],"network":[147],"environment":[148],"show":[150],"that":[151],"our":[152],"proposed":[153],"can":[155],"reduce":[156],"at":[161],"least":[162],"87.4%":[163],"compared":[164],"current":[167],"state-of-the-art":[168],"algorithms.":[171],"As":[172],"consequence,":[174],"significantly":[179],"higher":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
