{"id":"https://openalex.org/W4414647931","doi":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174633","title":"Empirical Analysis of Statistical Variation in Channel Data of WiGig Networks Towards 6G","display_name":"Empirical Analysis of Statistical Variation in Channel Data of WiGig Networks Towards 6G","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4414647931","doi":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174633"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2025-spring65109.2025.11174633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","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/A5021116610","display_name":"Shikhar Verma","orcid":"https://orcid.org/0000-0002-9905-3772"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shikhar Verma","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University,Sendai,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University,Sendai,Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044028771","display_name":"Tiago Koketsu Rodrigues","orcid":"https://orcid.org/0000-0003-0881-3818"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tiago Koketsu Rodrigues","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University,Sendai,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University,Sendai,Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013311265","display_name":"Nei Kato","orcid":"https://orcid.org/0000-0001-8769-302X"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nei Kato","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University,Sendai,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University,Sendai,Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068882573","display_name":"Mostafa M. Fouda","orcid":"https://orcid.org/0000-0003-1790-8640"},"institutions":[{"id":"https://openalex.org/I106969075","display_name":"Idaho State University","ror":"https://ror.org/0162z8b04","country_code":"US","type":"education","lineage":["https://openalex.org/I106969075"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mostafa M. Fouda","raw_affiliation_strings":["Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA","institution_ids":["https://openalex.org/I106969075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100644892","display_name":"Muhammad Ismail","orcid":"https://orcid.org/0000-0003-0647-7144"},"institutions":[{"id":"https://openalex.org/I63920570","display_name":"Tennessee Technological University","ror":"https://ror.org/05drmrq39","country_code":"US","type":"education","lineage":["https://openalex.org/I63920570"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Ismail","raw_affiliation_strings":["Tennessee Technological University,Department of Computer Science,Cookeville,TN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tennessee Technological University,Department of Computer Science,Cookeville,TN,USA","institution_ids":["https://openalex.org/I63920570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"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":0.22887988,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9962000250816345,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9962000250816345,"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9593999981880188,"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/overhead","display_name":"Overhead (engineering)","score":0.6302000284194946},{"id":"https://openalex.org/keywords/handover","display_name":"Handover","score":0.6139000058174133},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.517799973487854},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4494999945163727},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4438999891281128},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.421099990606308},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.41940000653266907},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3799000084400177},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.37860000133514404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7190999984741211},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6302000284194946},{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.6139000058174133},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.517799973487854},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4494999945163727},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4438999891281128},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.41940000653266907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38269999623298645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3822999894618988},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.37860000133514404},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3700000047683716},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.3411000072956085},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33329999446868896},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3244999945163727},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28380000591278076},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.274399995803833},{"id":"https://openalex.org/C206654554","wikidata":"https://www.wikidata.org/wiki/Q5374247","display_name":"Empirical measure","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.27390000224113464},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C93389723","wikidata":"https://www.wikidata.org/wiki/Q7247313","display_name":"Process variation","level":3,"score":0.2628999948501587}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-spring65109.2025.11174633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","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":21,"referenced_works":["https://openalex.org/W2129102498","https://openalex.org/W2810482148","https://openalex.org/W3006541201","https://openalex.org/W3044305646","https://openalex.org/W3045648521","https://openalex.org/W3046127566","https://openalex.org/W3134298137","https://openalex.org/W3176231977","https://openalex.org/W4288062579","https://openalex.org/W4292171687","https://openalex.org/W4322576476","https://openalex.org/W4360996875","https://openalex.org/W4388075468","https://openalex.org/W4389544693","https://openalex.org/W4389960977","https://openalex.org/W4390787967","https://openalex.org/W4392932250","https://openalex.org/W4399154361","https://openalex.org/W4401329134","https://openalex.org/W4401943243","https://openalex.org/W4402157262"],"related_works":[],"abstract_inverted_index":{"Emerging":[0],"wireless":[1],"local":[2],"area":[3],"networks,":[4],"such":[5],"as":[6],"WiGig":[7,96,145,179],"that":[8,79,139],"operate":[9],"in":[10,55,64,95,144,178],"the":[11,21,35,153,161],"extremely":[12],"high-frequency":[13],"band":[14,38],"(60":[15],"GHz)":[16],"hold":[17],"significant":[18],"potential":[19,162],"for":[20,92,163,174],"development":[22],"of":[23,156],"next-generation":[24],"6G":[25],"networks":[26],"by":[27],"offering":[28],"high":[29],"throughput":[30],"and":[31,53,70,84,136],"low":[32],"latency.":[33,72],"However,":[34,98],"60":[36],"GHz":[37],"is":[39],"prone":[40],"to":[41,46,50,68,105,112,129,151],"severe":[42],"signal":[43,158],"degradation":[44],"due":[45,67,128],"channel":[47],"blockages,":[48],"leading":[49],"frequent":[51],"handovers":[52],"challenges":[54],"maintaining":[56],"seamless":[57],"connectivity.":[58],"Reactive":[59],"handover":[60],"strategies":[61],"can":[62,123,140],"result":[63],"service":[65],"delays":[66],"overhead":[69],"decision-making":[71],"To":[73],"tackle":[74],"these":[75],"issues,":[76],"proactive":[77],"approaches":[78],"utilize":[80],"machine":[81],"learning":[82,86],"(ML)":[83],"deep":[85],"(DL)":[87],"are":[88,102],"becoming":[89],"increasingly":[90],"popular":[91],"network":[93,107,126],"optimization":[94],"networks.":[97,146,180],"existing":[99],"ML/DL":[100],"models":[101],"often":[103],"tailored":[104],"specific":[106],"environments,":[108],"making":[109],"them":[110],"susceptible":[111],"concept":[113,142,164,176],"drift":[114,143,177],"\u2014":[115],"a":[116,172],"phenomenon":[117],"where":[118],"even":[119],"minor":[120],"environmental":[121,137],"changes":[122,138],"significantly":[124],"degrade":[125],"performance":[127],"incorrect":[130],"decision-making.":[131],"This":[132],"paper":[133],"investigates":[134],"scenarios":[135],"trigger":[141],"We":[147],"conduct":[148],"real-world":[149],"experiments":[150],"analyze":[152],"statistical":[154],"behavior":[155],"received":[157],"strength,":[159],"highlighting":[160],"drift.":[165],"Based":[166],"on":[167],"our":[168],"findings,":[169],"we":[170],"propose":[171],"direction":[173],"identifying":[175]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}