{"id":"https://openalex.org/W4315629943","doi":"https://doi.org/10.1109/globecom48099.2022.10001338","title":"Optimal Mobile IRS Deployment with Reinforcement Learning Encoder Decoders","display_name":"Optimal Mobile IRS Deployment with Reinforcement Learning Encoder Decoders","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315629943","doi":"https://doi.org/10.1109/globecom48099.2022.10001338"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10001338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10001338","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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/A5027608540","display_name":"Adel Mounir Said","orcid":"https://orcid.org/0000-0002-3388-7918"},"institutions":[{"id":"https://openalex.org/I4210165434","display_name":"National Telecommunications Institute","ror":"https://ror.org/05g82f642","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210165434"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Adel Mounir Said","raw_affiliation_strings":["National Telecommunication Institute (NTI),Switching Department,Cairo,Egypt","Switching Department, National Telecommunication Institute (NTI), Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"National Telecommunication Institute (NTI),Switching Department,Cairo,Egypt","institution_ids":["https://openalex.org/I4210165434"]},{"raw_affiliation_string":"Switching Department, National Telecommunication Institute (NTI), Cairo, Egypt","institution_ids":["https://openalex.org/I4210165434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073517495","display_name":"Mohammed Laroui","orcid":"https://orcid.org/0000-0002-6761-8417"},"institutions":[{"id":"https://openalex.org/I4210159731","display_name":"Laboratoire de Recherche en Informatique de Paris 6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohammed Laroui","raw_affiliation_strings":["Universit&#x00E9; Paris Cit&#x00E9;,Laboratory of Informatics Paris Descartes (LIPADE),Paris,France"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris Cit&#x00E9;,Laboratory of Informatics Paris Descartes (LIPADE),Paris,France","institution_ids":["https://openalex.org/I4210159731","https://openalex.org/I204730241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008445781","display_name":"Ch\u00e9rifa Boucetta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100943","display_name":"Centre de Recherche en Sciences et Technologies de l'Information et de la Communication","ror":"https://ror.org/016wdna72","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210100943","https://openalex.org/I4210141980","https://openalex.org/I96226040"]},{"id":"https://openalex.org/I96226040","display_name":"Universit\u00e9 de Reims Champagne-Ardenne","ror":"https://ror.org/03hypw319","country_code":"FR","type":"education","lineage":["https://openalex.org/I96226040"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cherifa Boucetta","raw_affiliation_strings":["University of Reims Champagne-Ardenne,Research Centre in Information and Communication Science and Technologies (CReSTIC),France","Research Centre in Information and Communication Science and Technologies (CReSTIC), University of Reims Champagne-Ardenne, France"],"affiliations":[{"raw_affiliation_string":"University of Reims Champagne-Ardenne,Research Centre in Information and Communication Science and Technologies (CReSTIC),France","institution_ids":["https://openalex.org/I96226040"]},{"raw_affiliation_string":"Research Centre in Information and Communication Science and Technologies (CReSTIC), University of Reims Champagne-Ardenne, France","institution_ids":["https://openalex.org/I4210100943","https://openalex.org/I96226040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080428009","display_name":"Hossam Afifi","orcid":"https://orcid.org/0000-0002-1723-7536"},"institutions":[{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hossam Afifi","raw_affiliation_strings":["Institut Polytechnique de Paris,SAMOVAR Telecom SudParis,Palaiseau,France","SAMOVAR Telecom SudParis, Institut Polytechnique de Paris, Palaiseau, France"],"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris,SAMOVAR Telecom SudParis,Palaiseau,France","institution_ids":["https://openalex.org/I4210145102"]},{"raw_affiliation_string":"SAMOVAR Telecom SudParis, Institut Polytechnique de Paris, Palaiseau, France","institution_ids":["https://openalex.org/I4210145102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000563829","display_name":"Hassine Moungla","orcid":"https://orcid.org/0000-0002-0325-6680"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210159731","display_name":"Laboratoire de Recherche en Informatique de Paris 6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hassine Moungla","raw_affiliation_strings":["Universit&#x00E9; Paris Cit&#x00E9;,Laboratory of Informatics Paris Descartes (LIPADE),Paris,France"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris Cit&#x00E9;,Laboratory of Informatics Paris Descartes (LIPADE),Paris,France","institution_ids":["https://openalex.org/I4210159731","https://openalex.org/I204730241"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027608540"],"corresponding_institution_ids":["https://openalex.org/I4210165434"],"apc_list":null,"apc_paid":null,"fwci":1.2889,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79944326,"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":"1966","last_page":"1971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","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/T11458","display_name":"Advanced Wireless Communication Technologies","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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9750000238418579,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9668999910354614,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8487657308578491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8084648847579956},{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.7462571263313293},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.6354396343231201},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.60494464635849},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.546412467956543},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.49986743927001953},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49816370010375977},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.48943892121315},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.48124977946281433},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.47992023825645447},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44968312978744507},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4162309169769287},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.39431506395339966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36531031131744385},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3176666498184204},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24131929874420166},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18145397305488586},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09180223941802979}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8487657308578491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8084648847579956},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.7462571263313293},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.6354396343231201},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.60494464635849},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.546412467956543},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.49986743927001953},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49816370010375977},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.48943892121315},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.48124977946281433},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.47992023825645447},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44968312978744507},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4162309169769287},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.39431506395339966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36531031131744385},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3176666498184204},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24131929874420166},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18145397305488586},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09180223941802979},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/globecom48099.2022.10001338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10001338","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03944043v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03944043","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Global Communications Conference (GLOBECOM), 2022, Rio de Janeiro, Brazil. pp.1966-1971, &#x27E8;10.1109/GLOBECOM48099.2022.10001338&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:HAL:hal-04173983v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04173983","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference (GLOBECOM), Dec 2022, Rio de Janeiro, Brazil. pp.1966-1971, &#x27E8;10.1109/GLOBECOM48099.2022.10001338&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1670037940","https://openalex.org/W1682943971","https://openalex.org/W2039588837","https://openalex.org/W2605275500","https://openalex.org/W3045635192","https://openalex.org/W3082128362","https://openalex.org/W3099076822","https://openalex.org/W3127940641","https://openalex.org/W3129486236","https://openalex.org/W3159402647","https://openalex.org/W3168169223","https://openalex.org/W3186947394","https://openalex.org/W3189447947","https://openalex.org/W4226054651","https://openalex.org/W4290996834","https://openalex.org/W6640593155"],"related_works":["https://openalex.org/W2913823013","https://openalex.org/W4385731880","https://openalex.org/W2303288554","https://openalex.org/W3033750547","https://openalex.org/W2029216794","https://openalex.org/W4386698331","https://openalex.org/W2047225036","https://openalex.org/W2138314731","https://openalex.org/W2029263917","https://openalex.org/W2093207996"],"abstract_inverted_index":{"Cellular":[0],"deployment":[1],"of":[2,52,79,147,167,178,188,205],"new":[3],"generations":[4],"faces":[5],"a":[6,68,83,121,152,202],"coverage":[7],"challenge":[8],"due":[9],"to":[10,32,74,95,100,143,213],"the":[11,25,39,45,50,53,61,76,80,108,116,125,131,148,176,186,206],"non-line-of-sight":[12],"(NLOS)":[13],"between":[14],"clients'":[15],"devices":[16],"and":[17,139,170,194],"base":[18],"station":[19],"(BS).":[20],"Therefore,":[21],"relaying":[22],"on":[23,130,185,210],"using":[24,164],"emerging":[26],"technology;":[27],"intelligent":[28],"reflective":[29],"surface":[30],"(IRS)":[31],"reconfigure":[33],"wireless":[34],"signal":[35],"propagation":[36],"is":[37,55,67,93,107,128,162,183],"considered":[38],"best":[40,77],"solution":[41,99],"that":[42,114],"can":[43],"address":[44],"mentioned":[46],"challenge.":[47],"Additionally,":[48],"choosing":[49],"position":[51],"IRS":[54,102,117],"not":[56],"an":[57,71,97],"easy":[58],"task":[59],"as":[60],"clients":[62],"are":[63],"mobile.":[64],"Hence,":[65],"there":[66],"need":[69],"for":[70,82],"efficient":[72],"model":[73,92,208],"elect":[75],"positions":[78,118,174],"IRSs":[81],"better":[84],"network":[85,141],"performance.":[86],"In":[87],"this":[88],"work,":[89],"two":[90],"fold":[91],"proposed":[94,158,207],"provide":[96,144],"automated":[98],"optimize":[101],"positions.":[103],"The":[104,157,199],"first":[105],"one":[106,127],"mixed":[109],"integer":[110],"linear":[111],"programming":[112],"(MILP)":[113],"solves":[115],"problem":[119],"in":[120,175],"classical":[122],"way.":[123],"Whereas":[124],"second":[126],"based":[129,184,209],"reinforcement":[132],"learning":[133,146],"optimization":[134],"(RLO)":[135],"with":[136,151],"complex":[137],"encoder":[138],"decoder":[140],"architecture":[142],"fast":[145],"MILP":[149],"results":[150,200],"low":[153],"mean":[154],"square":[155],"error.":[156],"RLO":[159],"model's":[160],"validity":[161],"studied":[163],"10":[165],"days":[166],"mobile":[168],"dataset":[169],"actual":[171],"cellular":[172],"BSs'":[173],"city":[177],"Rome":[179],"(Italy).":[180],"This":[181],"study":[182],"use":[187],"long":[189],"short":[190],"term":[191],"memory":[192],"(LSTM)":[193],"gated":[195],"recurrent":[196],"unit":[197],"(GRU).":[198],"show":[201],"significant":[203],"performance":[204],"LSTM":[211],"compared":[212],"GRU.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
