{"id":"https://openalex.org/W4417281971","doi":"https://doi.org/10.1109/pimrc62392.2025.11275455","title":"XAI in Wireless Communications: A Case Study on Interpretable 5G Performance Analysis","display_name":"XAI in Wireless Communications: A Case Study on Interpretable 5G Performance Analysis","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4417281971","doi":"https://doi.org/10.1109/pimrc62392.2025.11275455"},"language":null,"primary_location":{"id":"doi:10.1109/pimrc62392.2025.11275455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11275455","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039298587","display_name":"Ali Fuat \u015eahin","orcid":null},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ali Fuat \u015eahin","raw_affiliation_strings":["Istanbul Technical University,Faculty of Electrical and Electronics Engineering,Istanbul,Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Faculty of Electrical and Electronics Engineering,Istanbul,Turkiye","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095839244","display_name":"Yusuf G\u00fcven","orcid":"https://orcid.org/0009-0009-4303-6445"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yusuf G\u00fcven","raw_affiliation_strings":["Istanbul Technical University,AI and Intelligent Systems Laboratory,Istanbul,Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,AI and Intelligent Systems Laboratory,Istanbul,Turkiye","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058443945","display_name":"Semiha Tedik Ba\u015faran","orcid":"https://orcid.org/0000-0003-2636-143X"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Semiha Tedik Ba\u015faran","raw_affiliation_strings":["Istanbul Technical University,Faculty of Electrical and Electronics Engineering,Istanbul,Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Faculty of Electrical and Electronics Engineering,Istanbul,Turkiye","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010725194","display_name":"Tufan Kumbasar","orcid":"https://orcid.org/0000-0001-9366-0240"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tufan Kumbasar","raw_affiliation_strings":["Istanbul Technical University,AI and Intelligent Systems Laboratory,Istanbul,Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,AI and Intelligent Systems Laboratory,Istanbul,Turkiye","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18925958,"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":0.10989999771118164,"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":0.10989999771118164,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.10440000146627426,"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":0.0966000035405159,"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/boosting","display_name":"Boosting (machine learning)","score":0.6877999901771545},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5426999926567078},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5134000182151794},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.506600022315979},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4765999913215637},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.42739999294281006},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4099999964237213},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.3822000026702881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426000237464905},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6877999901771545},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5426999926567078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5212000012397766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5175999999046326},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5134000182151794},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.506600022315979},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4765999913215637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4309000074863434},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.42739999294281006},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3822000026702881},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.36980000138282776},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2653000056743622}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc62392.2025.11275455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11275455","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"}],"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/W2046945713","https://openalex.org/W2054692642","https://openalex.org/W2801490189","https://openalex.org/W2920757090","https://openalex.org/W2994898777","https://openalex.org/W3017194848","https://openalex.org/W3043040891","https://openalex.org/W3045611102","https://openalex.org/W3177085931","https://openalex.org/W3186769346","https://openalex.org/W4245295309","https://openalex.org/W4407002963"],"related_works":[],"abstract_inverted_index":{"Next-generation":[0],"wireless":[1],"networks,":[2],"including":[3],"5G":[4,54,86,179],"and":[5,11,15,39,96,104,121,146,155,172],"beyond,":[6],"have":[7],"grown":[8],"in":[9,134,151,177],"complexity":[10],"scale,":[12],"necessitating":[13],"efficient":[14],"explainable":[16,165],"machine-learning":[17],"solutions.":[18],"This":[19],"paper":[20],"explores":[21],"how":[22,90],"functional":[23],"ANalysis":[24],"Of":[25],"VAriance":[26],"inspired":[27],"models":[28,132],"such":[29,141],"as":[30,58,142],"Generalized":[31],"Additive":[32],"Models":[33],"(GAMs),":[34],"Explainable":[35],"Boosting":[36],"Machines":[37],"(EBM),":[38],"GAMs":[40],"with":[41,164],"Structured":[42],"Interactions":[43],"(GAMI-Net)":[44],"can":[45],"shed":[46],"light":[47],"on":[48,71,81],"the":[49,62,131],"intricate":[50],"relationships":[51],"among":[52],"various":[53],"performance":[55],"metrics.":[56],"Framed":[57],"a":[59,72,82],"regression":[60],"problem,":[61],"study":[63],"aims":[64],"to":[65,125],"predict":[66],"received":[67],"signal":[68],"strength":[69],"based":[70],"wide":[73],"range":[74],"of":[75,117,138,144],"Key":[76],"Performance":[77],"Indicators":[78],"(KPIs).":[79],"Drawing":[80],"publicly":[83],"available":[84],"real-time":[85],"dataset,":[87],"we":[88],"examine":[89],"each":[91],"model":[92],"balances":[93],"predictive":[94],"accuracy":[95,109],"interpretability.":[97],"Our":[98],"results":[99],"reveal":[100],"that":[101,160],"although":[102],"GAM":[103],"EBM":[105],"generally":[106],"deliver":[107],"superior":[108],"for":[110,169],"tabular":[111],"data,":[112],"GAMI-Net":[113],"offers":[114],"greater":[115],"transparency":[116],"both":[118],"main":[119],"effects":[120],"feature":[122],"interactions,":[123],"thanks":[124],"its":[126],"neural-additive":[127],"architecture.":[128],"In":[129],"particular,":[130],"converge":[133],"identifying":[135],"key":[136],"drivers":[137],"network":[139],"performance,":[140],"Quality":[143],"Service,":[145],"location-based":[147],"metrics,":[148],"while":[149],"differing":[150],"prioritizing":[152],"additional":[153],"throughput-related":[154],"mobility":[156],"parameters.":[157],"We":[158],"conclude":[159],"combining":[161],"accurate":[162],"predictions":[163],"frameworks":[166],"is":[167],"indispensable":[168],"advancing":[170],"robust":[171],"trustworthy":[173],"artificial":[174],"intelligence":[175],"applications":[176],"real-world":[178],"networks.":[180]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-12T00:00:00"}