{"id":"https://openalex.org/W7127047874","doi":"https://doi.org/10.62110/sciencein.jist.2026.v14.1518","title":"Implementation of Adaptive beamforming using Machine Learning techniques in 6G networks","display_name":"Implementation of Adaptive beamforming using Machine Learning techniques in 6G networks","publication_year":2026,"publication_date":"2026-01-08","ids":{"openalex":"https://openalex.org/W7127047874","doi":"https://doi.org/10.62110/sciencein.jist.2026.v14.1518"},"language":"en","primary_location":{"id":"doi:10.62110/sciencein.jist.2026.v14.1518","doi":"https://doi.org/10.62110/sciencein.jist.2026.v14.1518","is_oa":true,"landing_page_url":"https://doi.org/10.62110/sciencein.jist.2026.v14.1518","pdf_url":"https://pubs.thesciencein.org/journal/index.php/jist/article/download/a1518/892","source":{"id":"https://openalex.org/S4390648373","display_name":"Journal of Integrated Science and Technology","issn_l":"2321-4635","issn":["2321-4635"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Integrated Science and Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://pubs.thesciencein.org/journal/index.php/jist/article/download/a1518/892","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065607008","display_name":"D J Chaithanya","orcid":"https://orcid.org/0000-0002-0694-5422","observed_orcids":["https://orcid.org/0000-0002-0694-5422"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaithanya D J","raw_affiliation_strings":["Vidyavardhaka College of Engineering"],"raw_orcid":"https://orcid.org/0000-0002-0694-5422","affiliations":[{"raw_affiliation_string":"Vidyavardhaka College of Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074090452","display_name":"B. G. Nagaraja","orcid":"https://orcid.org/0000-0002-4702-4953","observed_orcids":["https://orcid.org/0000-0002-4702-4953"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nagaraja B G","raw_affiliation_strings":["Vidyavardhaka College of Engineering, Mysuru"],"raw_orcid":"https://orcid.org/0000-0002-4702-4953","affiliations":[{"raw_affiliation_string":"Vidyavardhaka College of Engineering, Mysuru","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070836819","display_name":"Seelam Ch Vijaya Bhaskar","orcid":"https://orcid.org/0000-0003-2588-3914","observed_orcids":["https://orcid.org/0000-0003-2588-3914"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seelam Ch Vijaya Bhaskar","raw_affiliation_strings":["MVSR Engineering College, Hyderabad"],"raw_orcid":"https://orcid.org/0000-0003-2588-3914","affiliations":[{"raw_affiliation_string":"MVSR Engineering College, Hyderabad","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086725513","display_name":"P. Srividya","orcid":"https://orcid.org/0000-0002-3050-4889","observed_orcids":["https://orcid.org/0000-0002-3050-4889"]},"institutions":[{"id":"https://openalex.org/I8975392","display_name":"Osmania University","ror":"https://ror.org/030sjb889","country_code":"IN","type":"education","lineage":["https://openalex.org/I8975392"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Putty Srividya","raw_affiliation_strings":["Osmania University"],"raw_orcid":"https://orcid.org/0000-0002-3050-4889","affiliations":[{"raw_affiliation_string":"Osmania University","institution_ids":["https://openalex.org/I8975392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2484,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93025949,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"14","issue":"2","first_page":"1518","last_page":"1518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9452999830245972,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9452999830245972,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.026599999517202377,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.008999999612569809,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/adaptive-beamforming","display_name":"adaptive beamforming","score":0.9950000047683716},{"id":"https://openalex.org/keywords/6g-networks","display_name":"6G","score":0.8330000042915344},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7639999985694885},{"id":"https://openalex.org/keywords/support-vector-regression","display_name":"support vector regression","score":1.0},{"id":"https://openalex.org/keywords/massive-mimo","display_name":"massive MIMO","score":0.8550000190734863},{"id":"https://openalex.org/keywords/uniform-linear-array","display_name":"uniform linear array","score":0.8709999918937683},{"id":"https://openalex.org/keywords/user-mobility","display_name":"user mobility","score":0.5630000233650208},{"id":"https://openalex.org/keywords/dynamic-channel-conditions","display_name":"dynamic channel conditions","score":0.4359999895095825}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7588000297546387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309999823570251},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4823000133037567},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4650999903678894},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46140000224113464},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.4433000087738037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4341000020503998},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4244000017642975},{"id":"https://openalex.org/C194273485","wikidata":"https://www.wikidata.org/wiki/Q1478845","display_name":"Path loss","level":3,"score":0.421099990606308},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.41679999232292175},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.41179999709129333},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.3792000114917755},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3560999929904938},{"id":"https://openalex.org/C57466844","wikidata":"https://www.wikidata.org/wiki/Q7955559","display_name":"WSDMA","level":5,"score":0.34439998865127563},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3163999915122986},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.30660000443458557},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3050000071525574},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.30219998955726624},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.30140000581741333},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30070000886917114},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2937999963760376},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.26460000872612},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.62110/sciencein.jist.2026.v14.1518","doi":"https://doi.org/10.62110/sciencein.jist.2026.v14.1518","is_oa":true,"landing_page_url":"https://doi.org/10.62110/sciencein.jist.2026.v14.1518","pdf_url":"https://pubs.thesciencein.org/journal/index.php/jist/article/download/a1518/892","source":{"id":"https://openalex.org/S4390648373","display_name":"Journal of Integrated Science and Technology","issn_l":"2321-4635","issn":["2321-4635"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Integrated Science and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.62110/sciencein.jist.2026.v14.1518","doi":"https://doi.org/10.62110/sciencein.jist.2026.v14.1518","is_oa":true,"landing_page_url":"https://doi.org/10.62110/sciencein.jist.2026.v14.1518","pdf_url":"https://pubs.thesciencein.org/journal/index.php/jist/article/download/a1518/892","source":{"id":"https://openalex.org/S4390648373","display_name":"Journal of Integrated Science and Technology","issn_l":"2321-4635","issn":["2321-4635"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Integrated Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7127047874.pdf","grobid_xml":"https://content.openalex.org/works/W7127047874.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4417509449","https://openalex.org/W6988319787","https://openalex.org/W7220429981","https://openalex.org/W7123380995","https://openalex.org/W7162776672","https://openalex.org/W7162780752","https://openalex.org/W7220078993","https://openalex.org/W7118948145","https://openalex.org/W4410343014","https://openalex.org/W4402834666"],"abstract_inverted_index":{"Traditional":[0],"beamforming":[1,43,71,108,164],"techniques":[2,12,89],"rely":[3],"on":[4],"optimization":[5],"or":[6],"analytically":[7],"derived":[8],"weight":[9],"calculations.":[10,179],"Beamforming":[11],"are":[13],"often":[14],"inadequate":[15],"in":[16,193,223],"dynamic":[17,194],"propagation":[18],"environments":[19,196],"characterized":[20],"by":[21],"user":[22,118],"mobility,":[23],"rapid":[24],"channel":[25,84,112],"variations,":[26],"and":[27,40,54,67,98,122,139,162,167,186,197,219],"heterogeneous":[28],"service":[29],"demands.":[30],"The":[31,79,157,180],"evolution":[32],"of":[33,149],"6G":[34,76,195],"wireless":[35,225],"communication":[36,77],"systems":[37],"demands":[38],"intelligent":[39,190],"highly":[41],"adaptive":[42,70],"mechanisms":[44],"to":[45,90,145],"satisfy":[46],"stringent":[47],"requirements":[48],"for":[49,74,175,189,209],"spectral":[50],"efficiency,":[51],"latency,":[52],"reliability,":[53],"massive":[55,126],"connectivity.":[56],"To":[57],"overcome":[58],"these":[59],"limitations,":[60],"this":[61,203],"study":[62,204],"presents":[63],"an":[64],"artificial":[65],"intelligence":[66],"machine":[68],"learning-based":[69,151],"framework":[72,152],"tailored":[73],"future":[75,210],"networks.":[78,226],"proposed":[80,181],"approach":[81],"integrates":[82],"ray-tracing-based":[83],"modeling":[85],"with":[86],"supervised":[87],"learning":[88],"enable":[91,165],"data-driven-optimized":[92],"beamforming.":[93],"Artificial":[94],"neural":[95],"network":[96],"(ANN)":[97],"Support":[99],"Vector":[100],"Regression":[101],"(SVR)":[102],"models":[103],"directly":[104],"predict":[105],"optimal":[106],"complex-valued":[107],"weights":[109],"from":[110],"relevant":[111],"features":[113],"such":[114],"as":[115],"angular":[116],"parameters,":[117],"position,":[119],"transmission":[120],"power,":[121],"path":[123],"loss.":[124],"A":[125],"multiple":[127,129],"input":[128],"output":[130],"(MIMO)":[131],"configuration":[132],"using":[133],"a":[134,184,206],"32-element":[135],"uniform":[136],"linear":[137],"array":[138],"64":[140],"system":[141],"parameters":[142],"was":[143],"considered":[144],"evaluate":[146],"the":[147,150,173],"effectiveness":[148],"under":[153],"realistic":[154],"simulation":[155],"conditions.":[156],"results":[158],"indicate":[159],"that":[160],"AI":[161],"ML":[163],"fast":[166],"precise":[168],"beam":[169,191,221],"adaptation":[170],"while":[171],"eliminating":[172],"need":[174],"computationally":[176],"real-time":[177,199],"analytical":[178],"work":[182],"offers":[183],"scalable":[185],"efficient":[187],"solution":[188],"management":[192],"supports":[198],"decision":[200],"making.":[201],"Furthermore,":[202],"establishes":[205],"strong":[207],"foundation":[208],"extensions":[211],"incorporating":[212],"edge":[213],"intelligence,":[214],"federated":[215],"learning,":[216,218],"reinforcement":[217],"autonomous":[220],"control":[222],"next-generation":[224]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-02-03T00:00:00"}