{"id":"https://openalex.org/W7157999407","doi":"https://doi.org/10.3390/info17050410","title":"From Model-Driven to AI-Native Physical Layer Design: Deep Learning Architectures and Optimization Paradigms for Wireless Communications","display_name":"From Model-Driven to AI-Native Physical Layer Design: Deep Learning Architectures and Optimization Paradigms for Wireless Communications","publication_year":2026,"publication_date":"2026-04-25","ids":{"openalex":"https://openalex.org/W7157999407","doi":"https://doi.org/10.3390/info17050410"},"language":"en","primary_location":{"id":"doi:10.3390/info17050410","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info17050410","pdf_url":"https://www.mdpi.com/2078-2489/17/5/410/pdf?version=1777108944","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/17/5/410/pdf?version=1777108944","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133114204","display_name":"Evelio Astaiza Hoyos","orcid":null},"institutions":[{"id":"https://openalex.org/I135437138","display_name":"University of Quind\u00edo","ror":"https://ror.org/01358s213","country_code":"CO","type":"education","lineage":["https://openalex.org/I135437138"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Evelio Astaiza Hoyos","raw_affiliation_strings":["Electronic Engineering Programme, Faculty of Engineering, University of Quind\u00edo, Armenia 630004, Quind\u00edo, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Engineering Programme, Faculty of Engineering, University of Quind\u00edo, Armenia 630004, Quind\u00edo, Colombia","institution_ids":["https://openalex.org/I135437138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014454766","display_name":"H\u00e9ctor Fabio Berm\u00fadez Orozco","orcid":"https://orcid.org/0000-0002-8101-3764"},"institutions":[{"id":"https://openalex.org/I135437138","display_name":"University of Quind\u00edo","ror":"https://ror.org/01358s213","country_code":"CO","type":"education","lineage":["https://openalex.org/I135437138"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"H\u00e9ctor Fabio Berm\u00fadez-Orozco","raw_affiliation_strings":["Electronic Engineering Programme, Faculty of Engineering, University of Quind\u00edo, Armenia 630004, Quind\u00edo, Colombia"],"raw_orcid":"https://orcid.org/0000-0002-8101-3764","affiliations":[{"raw_affiliation_string":"Electronic Engineering Programme, Faculty of Engineering, University of Quind\u00edo, Armenia 630004, Quind\u00edo, Colombia","institution_ids":["https://openalex.org/I135437138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116835712","display_name":"Nasly Cristina Rodr\u00edguez-Idrobo","orcid":null},"institutions":[{"id":"https://openalex.org/I135437138","display_name":"University of Quind\u00edo","ror":"https://ror.org/01358s213","country_code":"CO","type":"education","lineage":["https://openalex.org/I135437138"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Nasly Cristina Rodriguez-Idrobo","raw_affiliation_strings":["Occupational Health and Safety Program, Faculty of Health Sciences, University of Quind\u00edo, Armenia 630004, Quind\u00edo, Colombia"],"raw_orcid":"https://orcid.org/0000-0002-9144-8016","affiliations":[{"raw_affiliation_string":"Occupational Health and Safety Program, Faculty of Health Sciences, University of Quind\u00edo, Armenia 630004, Quind\u00edo, Colombia","institution_ids":["https://openalex.org/I135437138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014454766"],"corresponding_institution_ids":["https://openalex.org/I135437138"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42093757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"5","first_page":"410","last_page":"410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.6419000029563904,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.6419000029563904,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.1234000027179718,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.0851999968290329,"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/deep-learning","display_name":"Deep learning","score":0.6061999797821045},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5806999802589417},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.5794000029563904},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5252000093460083},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4620000123977661},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4514000117778778},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.44200000166893005},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.42730000615119934},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4187000095844269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902999877929688},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6061999797821045},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5806999802589417},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.5794000029563904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.527899980545044},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5252000093460083},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5065000057220459},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.47839999198913574},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4620000123977661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45840001106262207},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4514000117778778},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.44200000166893005},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.42730000615119934},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4187000095844269},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.41670000553131104},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.349700003862381},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.32260000705718994},{"id":"https://openalex.org/C41918916","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"PHY","level":4,"score":0.3100999891757965},{"id":"https://openalex.org/C182448111","wikidata":"https://www.wikidata.org/wiki/Q7281197","display_name":"Radio resource management","level":4,"score":0.2948000133037567},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.28049999475479126},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C138916503","wikidata":"https://www.wikidata.org/wiki/Q2714551","display_name":"Link adaptation","level":4,"score":0.2556000053882599},{"id":"https://openalex.org/C2779851314","wikidata":"https://www.wikidata.org/wiki/Q3698644","display_name":"Cross-layer optimization","level":4,"score":0.2547999918460846},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info17050410","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info17050410","pdf_url":"https://www.mdpi.com/2078-2489/17/5/410/pdf?version=1777108944","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:81569c00b84f4334ac396563fe8ccc61","is_oa":true,"landing_page_url":"https://doaj.org/article/81569c00b84f4334ac396563fe8ccc61","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 17, Iss 5, p 410 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info17050410","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info17050410","pdf_url":"https://www.mdpi.com/2078-2489/17/5/410/pdf?version=1777108944","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7968978881835938,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7157999407.pdf","grobid_xml":"https://content.openalex.org/works/W7157999407.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,120,149,171],"increasing":[1],"complexity":[2],"of":[3,13,39,129],"next-generation":[4],"wireless":[5,184],"systems":[6],"challenges":[7],"the":[8,45,152],"scalability":[9],"and":[10,27,36,79,97,101,116,124,137,146,160,169,182],"generalization":[11,135],"capabilities":[12],"traditional":[14],"model-driven":[15,123],"physical":[16],"layer":[17],"(PHY)":[18],"design,":[19],"which":[20,58,155],"relies":[21],"on":[22],"analytically":[23],"derived":[24],"channel":[25,62,64,74],"models":[26,104],"optimization":[28,53,110],"frameworks.":[29],"This":[30],"paper":[31],"presents":[32],"a":[33,84],"comprehensive":[34],"survey":[35],"critical":[37],"review":[38,121],"deep":[40],"learning":[41,103,118],"(DL)":[42],"architectures":[43,92,157],"enabling":[44],"transition":[46],"toward":[47,179],"AI-native":[48,125,156],"PHY":[49,60],"design.":[50],"A":[51],"unified":[52],"perspective":[54],"is":[55],"developed":[56],"in":[57,127,166],"all":[59],"tasks\u2014including":[61],"estimation,":[63],"state":[65],"information":[66],"(CSI)":[67],"feedback,":[68],"massive":[69],"MIMO":[70],"processing,":[71],"signal":[72],"detection,":[73],"coding,":[75],"beamforming,":[76],"resource":[77],"allocation,":[78],"semantic-aware":[80],"transmission\u2014are":[81],"formulated":[82],"under":[83,154],"common":[85],"empirical":[86],"risk":[87],"minimization":[88],"(ERM)":[89],"framework.":[90],"Neural":[91],"such":[93],"as":[94],"autoencoders,":[95],"convolutional":[96],"recurrent":[98],"networks,":[99],"transformers,":[100],"reinforcement":[102],"are":[105],"examined":[106],"through":[107],"their":[108],"underlying":[109],"formulations,":[111],"loss":[112],"functions,":[113],"training":[114],"methodologies,":[115],"representation":[117],"mechanisms.":[119],"compares":[122],"approaches":[126],"terms":[128],"performance":[130,161],"metrics,":[131],"computational":[132],"complexity,":[133,167],"robustness,":[134],"capability,":[136],"practical":[138],"deployment":[139],"constraints,":[140],"including":[141],"hardware":[142],"limitations,":[143],"energy":[144],"efficiency,":[145],"real-time":[147],"feasibility.":[148],"analysis":[150],"highlights":[151],"conditions":[153],"provide":[158],"adaptability":[159],"improvements":[162],"while":[163],"identifying":[164],"trade-offs":[165],"latency,":[168],"interpretability.":[170],"study":[172],"concludes":[173],"by":[174],"outlining":[175],"prioritized":[176],"research":[177],"directions":[178],"fully":[180],"adaptive":[181],"self-optimizing":[183],"communication":[185],"systems.":[186]},"counts_by_year":[],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2026-04-30T00:00:00"}
