{"id":"https://openalex.org/W4200461435","doi":"https://doi.org/10.1109/latincom53176.2021.9647736","title":"Training Effect on AI-based Resource Allocation in small-cell networks","display_name":"Training Effect on AI-based Resource Allocation in small-cell networks","publication_year":2021,"publication_date":"2021-11-17","ids":{"openalex":"https://openalex.org/W4200461435","doi":"https://doi.org/10.1109/latincom53176.2021.9647736"},"language":"en","primary_location":{"id":"doi:10.1109/latincom53176.2021.9647736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom53176.2021.9647736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Latin-American Conference on Communications (LATINCOM)","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/A5039521330","display_name":"Alexis Anzaldo","orcid":"https://orcid.org/0000-0001-6962-3140"},"institutions":[{"id":"https://openalex.org/I3132984535","display_name":"Xochicalco University","ror":"https://ror.org/00zy9qe71","country_code":"MX","type":"education","lineage":["https://openalex.org/I3132984535"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Alexis Anzaldo","raw_affiliation_strings":["Facultad de Ingenier&#x00ED;a, Universidad Aut&#x00F3;noma de Baja California, Mexicali, M&#x00E9;xico","a, Universidad Aut&#x00F3","Facultad de Ingenier&#x00ED","noma de Baja California, Mexicali, M&#x00E9"],"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier&#x00ED;a, Universidad Aut&#x00F3;noma de Baja California, Mexicali, M&#x00E9;xico","institution_ids":["https://openalex.org/I3132984535"]},{"raw_affiliation_string":"a, Universidad Aut&#x00F3","institution_ids":[]},{"raw_affiliation_string":"Facultad de Ingenier&#x00ED","institution_ids":[]},{"raw_affiliation_string":"noma de Baja California, Mexicali, M&#x00E9","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042463116","display_name":"\u00c1ngel G. Andrade","orcid":"https://orcid.org/0000-0003-0829-5803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angel G. Andrade","raw_affiliation_strings":["Facultad de Ingenier&#x00ED","noma de Baja California, Mexicali, M&#x00E9","a, Universidad Aut&#x00F3"],"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier&#x00ED","institution_ids":[]},{"raw_affiliation_string":"noma de Baja California, Mexicali, M&#x00E9","institution_ids":[]},{"raw_affiliation_string":"a, Universidad Aut&#x00F3","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039521330"],"corresponding_institution_ids":["https://openalex.org/I3132984535"],"apc_list":null,"apc_paid":null,"fwci":0.2005,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52794751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9984999895095825,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.8365545272827148},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8175346255302429},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6833705902099609},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6367290616035461},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.6217636466026306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6108219027519226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4728669822216034},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.44182610511779785},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3265257775783539},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08935970067977905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8365545272827148},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8175346255302429},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6833705902099609},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6367290616035461},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.6217636466026306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6108219027519226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4728669822216034},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.44182610511779785},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3265257775783539},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08935970067977905},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/latincom53176.2021.9647736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom53176.2021.9647736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Latin-American Conference on Communications (LATINCOM)","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":13,"referenced_works":["https://openalex.org/W1970830346","https://openalex.org/W2741152757","https://openalex.org/W2788350651","https://openalex.org/W2793914588","https://openalex.org/W2891171329","https://openalex.org/W2969195240","https://openalex.org/W2996311694","https://openalex.org/W3007749181","https://openalex.org/W3009342710","https://openalex.org/W3011067038","https://openalex.org/W3036160090","https://openalex.org/W3109884127","https://openalex.org/W4214717370"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W1939996075","https://openalex.org/W2118113972"],"abstract_inverted_index":{"This":[0],"paper":[1,143],"discusses":[2,144],"the":[3,13,29,60,68,82,87,127,145,174,177,187,191,194],"need":[4],"for":[5,16,180],"advanced":[6],"machine":[7],"learning":[8,103],"techniques":[9],"to":[10,27,80,109,125],"cope":[11],"with":[12,114,138],"challenges":[14,146],"brought":[15],"by":[17],"densification":[18],"of":[19,34,92,112,161,186,193],"cells":[20],"often":[21,66],"seen":[22],"as":[23,43],"a":[24,53,106,132,155],"possible":[25],"solution":[26],"achieve":[28],"speed":[30],"and":[31,62,135,149,153],"QoS":[32],"goals":[33],"6G":[35],"cellular":[36],"networks.":[37],"Machine":[38],"Learning":[39,46],"(ML)":[40],"models":[41,152],"such":[42,151],"Deep":[44,119],"Reinforcement":[45],"(DRL)":[47,104],"have":[48],"demonstrated":[49],"suitable":[50],"solutions":[51,113],"in":[52,86,131,147],"shorter":[54],"time":[55],"than":[56],"conventional":[57],"algorithms.":[58,141],"However,":[59],"training":[61,148,182,188],"execution":[63],"action":[64],"phases":[65],"consider":[67],"same":[69],"simulation":[70,160],"conditions,":[71],"which":[72],"generate":[73],"overestimated":[74],"results.":[75],"Therefore,":[76],"it":[77,137],"is":[78,96,105],"necessary":[79],"reduce":[81],"adverse":[83],"performance":[84,157,179],"effects":[85],"sim2real":[88],"paradigm.":[89],"The":[90,142,170,184],"problem":[91,130],"optimal":[93],"resource":[94,163],"allocation":[95,129,164],"addressed,":[97],"underlying":[98],"how":[99],"decentralized":[100],"deep":[101],"reinforcement":[102],"promising":[107],"approach":[108],"balance":[110],"goodness":[111],"needed":[115],"compute":[116],"resources.":[117],"A":[118],"Q-Network":[120],"(DQN)":[121],"algorithm":[122,196],"was":[123],"implemented":[124],"solve":[126],"power":[128],"small-cell":[133],"network":[134],"compared":[136],"state-of-the-art":[139],"benchmark":[140],"testing":[150],"includes":[154],"brief":[156],"comparison":[158],"from":[159],"different":[162,181],"algorithms":[165],"against":[166,197],"three":[167],"DQN":[168,178],"models.":[169],"numerical":[171],"results":[172],"show":[173],"impact":[175],"on":[176],"conditions.":[183,199],"design":[185],"model":[189],"influences":[190],"robustness":[192],"DRL":[195],"unknown":[198]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
