{"id":"https://openalex.org/W4411950014","doi":"https://doi.org/10.1109/iwcmc65282.2025.11059447","title":"Adaptive Modulation Selection in Wireless Communications: A Comparative Study of Reinforcement Learning, Deep Learning, Deep Reinforcement Learning, and Traditional Policies","display_name":"Adaptive Modulation Selection in Wireless Communications: A Comparative Study of Reinforcement Learning, Deep Learning, Deep Reinforcement Learning, and Traditional Policies","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4411950014","doi":"https://doi.org/10.1109/iwcmc65282.2025.11059447"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc65282.2025.11059447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc65282.2025.11059447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Wireless Communications and Mobile Computing (IWCMC)","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/A5117255672","display_name":"Nader Khedhri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Nader Khedhri","raw_affiliation_strings":["University of Tunis El Manar National Engineering School of Tunis,Communications Systems Laboratory (Syscom),Tunis,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Tunis El Manar National Engineering School of Tunis,Communications Systems Laboratory (Syscom),Tunis,Tunisia","institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}]},{"author_position":"last","author":{"id":null,"display_name":"Monia Najar","orcid":null},"institutions":[{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Monia Najar","raw_affiliation_strings":["University of Tunis El Manar,Higher Institute of Computer Sciences,Tunis,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Tunis El Manar,Higher Institute of Computer Sciences,Tunis,Tunisia","institution_ids":["https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5117255672"],"corresponding_institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I63596082"],"apc_list":null,"apc_paid":null,"fwci":1.3695,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83451179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1622","last_page":"1625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9567999839782715,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9567999839782715,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9352999925613403,"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":0.9204999804496765,"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":0.9094582200050354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7074192762374878},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.5905352234840393},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5422769784927368},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5044494867324829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44171229004859924},{"id":"https://openalex.org/keywords/link-adaptation","display_name":"Link adaptation","score":0.42598438262939453},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2890172600746155},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1224602460861206},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.0747729241847992},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.0581725537776947}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9094582200050354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074192762374878},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.5905352234840393},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5422769784927368},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5044494867324829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44171229004859924},{"id":"https://openalex.org/C138916503","wikidata":"https://www.wikidata.org/wiki/Q2714551","display_name":"Link adaptation","level":4,"score":0.42598438262939453},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2890172600746155},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1224602460861206},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0747729241847992},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.0581725537776947},{"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/iwcmc65282.2025.11059447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc65282.2025.11059447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Wireless Communications and Mobile Computing (IWCMC)","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":12,"referenced_works":["https://openalex.org/W1522045078","https://openalex.org/W2054692642","https://openalex.org/W2136493079","https://openalex.org/W2145339207","https://openalex.org/W2238937638","https://openalex.org/W2734408173","https://openalex.org/W2898035736","https://openalex.org/W2941806810","https://openalex.org/W2963408914","https://openalex.org/W4212911130","https://openalex.org/W4214717370","https://openalex.org/W4395064458"],"related_works":["https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W1987513656"],"abstract_inverted_index":{"Modern":[0],"wireless":[1],"communication":[2],"systems":[3],"demand":[4],"adaptive":[5],"modulation":[6,60],"selection":[7,61],"strategies":[8],"to":[9,26,28,32,213,217],"balance":[10],"reliability,":[11,270],"throughput,":[12,88],"and":[13,53,89,104,123,167,182],"energy":[14,90,147,169],"efficiency":[15,148,170],"in":[16,62,202,227],"dynamic":[17],"channel":[18,249],"conditions.":[19],"Traditional":[20],"threshold-based":[21],"policies,":[22],"while":[23,197,242,267],"simple,":[24],"fail":[25],"adapt":[27],"real-time":[29],"variations,":[30],"leading":[31],"suboptimal":[33],"performance.":[34],"This":[35,191],"paper":[36],"presents":[37],"a":[38,73,77,193],"comprehensive":[39],"comparative":[40],"study":[41],"of":[42,69],"machine":[43],"learning":[44],"(ML)-based":[45],"approaches":[46,259],"Reinforcement":[47,55],"Learning":[48,51,56],"(RL),":[49],"Deep":[50,54],"(DL),":[52],"(DRL)":[57],"for":[58,274],"optimizing":[59],"Rayleigh":[63],"fading":[64],"environments":[65],"with":[66,153],"SNR":[67],"ranges":[68],"20\u201325":[70],"dB.We":[71],"design":[72],"simulation":[74],"framework":[75],"integrating":[76],"composite":[78],"reward":[79,102,185],"function":[80],"that":[81,95,257],"jointly":[82],"optimizes":[83],"Bit":[84],"Error":[85],"Rate":[86],"(BER),":[87],"consumption.":[91],"Our":[92,254],"results":[93,220],"demonstrate":[94],"the":[96,100,132,136,159,164,183],"DRL":[97,225],"agent":[98],"achieves":[99,162],"highest":[101,137,168],"(685.22)":[103],"lowest":[105,184],"BER":[106,176,206],"(5.48":[107],"\u00d7":[108,119,178,234],"10<sup":[109,120,179,235],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[110,121,129,180,236],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u22123</sup>),":[111,237],"outperforming":[112],"both":[113],"RL":[114],"(reward:":[115,125],"683.27,":[116],"BER:":[117,127],"5.79":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u22123</sup>)":[122],"DL":[124,133,238],"616.43,":[126],"2.34\u00d710<sup":[128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u22122</sup>).":[130],"While":[131],"model":[134],"delivers":[135],"throughput":[138,155,165,201],"(1.32)":[139],"among":[140],"learning-based":[141],"methods,":[142],"RL/DRL":[143],"agents":[144],"maintain":[145],"superior":[146],"(0.63\u20130.66":[149],"vs.":[150],"DL\u2019s":[151],"0.72)":[152],"near-optimal":[154],"(0.95\u20131.00).":[156],"In":[157],"contrast,":[158],"traditional":[160,198,243,265],"policy":[161],"double":[163],"(2.00)":[166],"(0.80),":[171],"but":[172],"suffers":[173],"from":[174],"catastrophic":[175],"(9.66":[177],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u22122</sup>)":[181],"(448.64)":[186],"52%":[187],"lower":[188],"than":[189,232,264],"DRL.":[190],"reveals":[192],"critical":[194],"reliability-efficiency":[195],"trade-off:":[196],"methods":[199,244],"maximize":[200],"high-SNR":[203],"regimes,":[204],"their":[205],"exceeds":[207],"practical":[208],"usability":[209],"thresholds":[210],"by":[211],"4":[212],"18":[214],"times":[215],"compared":[216],"ML":[218],"approaches.These":[219],"fundamentally":[221],"reshape":[222],"performance":[223],"priorities:":[224],"dominates":[226],"reliability-critical":[228],"applications":[229],"(BER":[230],"greater":[231],"6":[233],"suits":[239],"throughput-sensitive":[240],"tasks,":[241],"remain":[245],"viable":[246],"only":[247],"when":[248],"errors":[250],"can":[251],"be":[252],"tolerated.":[253],"work":[255],"demonstrates":[256],"ML-driven":[258],"achieve":[260],"52\u201354%":[261],"higher":[262],"rewards":[263],"policies":[266],"maintaining":[268],"operational":[269],"providing":[271],"concrete":[272],"guidelines":[273],"5G/6G":[275],"network":[276],"optimization.":[277]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}