{"id":"https://openalex.org/W4417284513","doi":"https://doi.org/10.1109/pimrc62392.2025.11274900","title":"A Novel Innately-Intelligent Transfer Learning Framework for Wireless Networks &amp; Beyond","display_name":"A Novel Innately-Intelligent Transfer Learning Framework for Wireless Networks &amp; Beyond","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4417284513","doi":"https://doi.org/10.1109/pimrc62392.2025.11274900"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc62392.2025.11274900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.gla.ac.uk/view/author/67071.html>","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111340631","display_name":"Syed Basit Ali Zaidi","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Syed Basit Ali Zaidi","raw_affiliation_strings":["University of Glasgow,James Watt School of Engineering,Glasgow,United Kingdom,G12 8QQ"],"affiliations":[{"raw_affiliation_string":"University of Glasgow,James Watt School of Engineering,Glasgow,United Kingdom,G12 8QQ","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103222754","display_name":"Waseem Raza","orcid":"https://orcid.org/0000-0002-5544-2637"},"institutions":[{"id":"https://openalex.org/I1324540951","display_name":"RealNetworks (United States)","ror":"https://ror.org/01ry0hm85","country_code":"US","type":"company","lineage":["https://openalex.org/I1324540951"]},{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Waseem Raza","raw_affiliation_strings":["University of Oklahoma,AI4Networks Research Center, School of Electrical &#x0026; Computer Engineering,USA"],"affiliations":[{"raw_affiliation_string":"University of Oklahoma,AI4Networks Research Center, School of Electrical &#x0026; Computer Engineering,USA","institution_ids":["https://openalex.org/I1324540951","https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027128871","display_name":"Muhammad Umar Bin Farooq","orcid":"https://orcid.org/0000-0001-8034-6965"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]},{"id":"https://openalex.org/I1324540951","display_name":"RealNetworks (United States)","ror":"https://ror.org/01ry0hm85","country_code":"US","type":"company","lineage":["https://openalex.org/I1324540951"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Umar Bin Farooq","raw_affiliation_strings":["University of Oklahoma,AI4Networks Research Center, School of Electrical &#x0026; Computer Engineering,USA"],"affiliations":[{"raw_affiliation_string":"University of Oklahoma,AI4Networks Research Center, School of Electrical &#x0026; Computer Engineering,USA","institution_ids":["https://openalex.org/I1324540951","https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001835000","display_name":"Shuja Ansari","orcid":"https://orcid.org/0000-0003-2071-0264"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shuja Ansari","raw_affiliation_strings":["University of Glasgow,James Watt School of Engineering,Glasgow,United Kingdom,G12 8QQ"],"affiliations":[{"raw_affiliation_string":"University of Glasgow,James Watt School of Engineering,Glasgow,United Kingdom,G12 8QQ","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101789165","display_name":"Ali Imran","orcid":"https://orcid.org/0000-0003-0564-6356"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ali Imran","raw_affiliation_strings":["University of Glasgow,James Watt School of Engineering,Glasgow,United Kingdom,G12 8QQ"],"affiliations":[{"raw_affiliation_string":"University of Glasgow,James Watt School of Engineering,Glasgow,United Kingdom,G12 8QQ","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031927335","display_name":"Muhammad Imran","orcid":"https://orcid.org/0000-0002-6946-2591"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muhammad Ali Imran","raw_affiliation_strings":["University of Glasgow,James Watt School of Engineering,Glasgow,United Kingdom,G12 8QQ"],"affiliations":[{"raw_affiliation_string":"University of Glasgow,James Watt School of Engineering,Glasgow,United Kingdom,G12 8QQ","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111340631"],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22215384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.2962999939918518,"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":0.2962999939918518,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.2071000039577484,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.07440000027418137,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.614799976348877},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6067000031471252},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5583000183105469},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4993000030517578},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4828000068664551},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45829999446868896},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43299999833106995},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.41600000858306885},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4147000014781952},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4133000075817108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7491000294685364},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.614799976348877},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6067000031471252},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5583000183105469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5314000248908997},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4993000030517578},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4828000068664551},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45829999446868896},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4268999993801117},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.41600000858306885},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4146000146865845},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4133000075817108},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.41280001401901245},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.3853999972343445},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.3693000078201294},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.3294000029563904},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.25589999556541443},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.2551000118255615},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/pimrc62392.2025.11274900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:361343","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/67071.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:361343","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/67071.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"State-Of-the-art":[0],"deep":[1,50],"transfer":[2,170,203],"learning":[3,51,171,204,215],"methods":[4],"depend":[5],"on":[6,146],"exhaustive,":[7],"trial-and-error":[8],"fine-tuning":[9,36,161],"of":[10,71],"pre-trained":[11],"models\u2014a":[12],"process":[13],"that":[14,115,166],"is":[15],"both":[16],"computationally":[17],"expensive":[18],"and":[19,119,122,140,155,181],"unreliable":[20],"when":[21],"data":[22,141],"in":[23,60,178,185,196,216],"target":[24,120],"domain":[25,62],"are":[26,53],"scarce.":[27],"To":[28],"overcome":[29],"these":[30],"limitations,":[31],"we":[32,106],"propose":[33],"a":[34,40,61,104,210],"domain-informed":[35],"strategy":[37,89],"built":[38],"upon":[39],"novel":[41],"Innately-Intelligent":[42],"Neural":[43],"Network":[44],"(IINN)":[45],"architecture.":[46],"Unlike":[47],"how":[48],"state-of-the-art":[49,201],"models":[52],"heuristically":[54],"constructed,":[55],"IINN":[56,145],"constructs":[57],"each":[58,92],"layer":[59,93],"informed":[63],"manner":[64],"by":[65],"directly":[66],"mapping":[67],"the":[68,99,109,126,159,197],"mathematical":[69],"operations":[70],"analytical":[72],"equations":[73],"(e.g.,":[74],"3GPP":[75],"propagation":[76],"models)":[77],"into":[78],"it\u2019s":[79],"network":[80],"architecture":[81],"prior":[82],"to":[83,175,187],"any":[84],"training.":[85],"This":[86,132],"\"innate\"":[87],"design":[88],"inherently":[90],"aligns":[91],"with":[94,113,192],"specific":[95],"physical":[96],"parameters,":[97],"making":[98],"model":[100],"fully":[101],"interpretable.":[102],"As":[103],"result,":[105],"can":[107],"pre-identify":[108],"exact":[110],"layers":[111],"associated":[112],"parameters":[114],"change":[116],"between":[117],"source":[118],"domains":[121],"fine-tune":[123],"only":[124],"those\u2014eliminating":[125],"need":[127],"for":[128,149,213],"iterative":[129],"layer-by-layer":[130],"retraining.":[131],"targeted":[133],"fine":[134],"tuning":[135],"approach":[136],"reduces":[137],"computational":[138],"overhead":[139],"requirements.":[142],"We":[143],"validated":[144],"radio-propagation":[147],"modelling":[148],"cellular":[150],"networks,":[151],"achieving":[152],"faster":[153],"adaptation":[154],"higher":[156],"accuracy":[157],"than":[158],"conventional":[160],"approach.":[162],"Experimental":[163],"evaluations":[164],"demonstrate":[165],"our":[167],"proposed":[168,207],"domain-aware":[169],"framework":[172,208],"achieves":[173],"up":[174],"16.4%":[176],"improvement":[177],"sector-based":[179],"performance":[180],"approximately":[182],"10.3%":[183],"gain":[184],"adapting":[186],"varying":[188],"base":[189],"station":[190],"heights,":[191],"overall":[193],"average":[194],"gains":[195],"10\u201315%":[198],"range":[199],"over":[200],"DNN":[202],"approaches.":[205],"The":[206],"offers":[209],"promising":[211],"direction":[212],"data-efficient":[214],"next-generation":[217],"wireless":[218],"systems.":[219]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-12T00:00:00"}
