{"id":"https://openalex.org/W7126102316","doi":"https://doi.org/10.1109/comcomap68359.2025.11353139","title":"Enhanced Quantum-Inspired Supervised Learning for Telecommunication Networks","display_name":"Enhanced Quantum-Inspired Supervised Learning for Telecommunication Networks","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7126102316","doi":"https://doi.org/10.1109/comcomap68359.2025.11353139"},"language":null,"primary_location":{"id":"doi:10.1109/comcomap68359.2025.11353139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comcomap68359.2025.11353139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Computing, Communications and IoT Applications (ComComAp)","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/A5124171606","display_name":"Subhadeep Mondal","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Subhadeep Mondal","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur,G.S.Sanyal School of Telecommunications,Kharagpur,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur,G.S.Sanyal School of Telecommunications,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124212321","display_name":"M Saravanan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M Saravanan","raw_affiliation_strings":["Ericsson India Global Services Pvt. Ltd,Ericsson Research,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Ericsson India Global Services Pvt. Ltd,Ericsson Research,Chennai,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5124171606"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87966107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.4413999915122986,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.4413999915122986,"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/T12303","display_name":"Tensor decomposition and applications","score":0.11400000005960464,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.06270000338554382,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/scalability","display_name":"Scalability","score":0.7549999952316284},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6248999834060669},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5181000232696533},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5123999714851379},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4537000060081482},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.45350000262260437},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4187000095844269},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.38280001282691956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552000284194946},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7549999952316284},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6248999834060669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5271000266075134},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5181000232696533},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5123999714851379},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4537000060081482},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.45350000262260437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4438000023365021},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.38280001282691956},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36059999465942383},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.32409998774528503},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.32170000672340393},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.29660001397132874},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.263700008392334}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comcomap68359.2025.11353139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comcomap68359.2025.11353139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Computing, Communications and IoT Applications (ComComAp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.42966723442077637,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2037768897","https://openalex.org/W2068914392","https://openalex.org/W2096391265","https://openalex.org/W2096776475","https://openalex.org/W2469483085","https://openalex.org/W2581056149","https://openalex.org/W2923124012","https://openalex.org/W2955324501","https://openalex.org/W3040284875","https://openalex.org/W3091811465","https://openalex.org/W3112385175","https://openalex.org/W3127470125","https://openalex.org/W3137771865","https://openalex.org/W3138625890","https://openalex.org/W3183765950","https://openalex.org/W4225817361","https://openalex.org/W4289717617","https://openalex.org/W4297102734","https://openalex.org/W4400275479"],"related_works":[],"abstract_inverted_index":{"Quantum-Inspired":[0],"Supervised":[1],"Learning":[2],"(QISL)":[3],"leverages":[4],"principles":[5],"from":[6],"quantum":[7,27],"mechanics":[8],"to":[9,19,51,65],"enhance":[10],"classical":[11],"machine":[12],"learning":[13,54],"models,":[14],"offering":[15],"a":[16,80,134],"promising":[17],"pathway":[18],"address":[20],"computational":[21],"bottlenecks":[22],"without":[23],"the":[24,31,61],"need":[25],"for":[26,101,108,139],"hardware.":[28],"By":[29],"exploiting":[30],"high-dimensional":[32],"expressibility":[33],"of":[34,63],"tensor":[35,86,99],"network":[36,68],"structures":[37],"and":[38,47,75,104,136,141],"efficient":[39],"optimization":[40],"techniques,":[41],"QISL":[42,64,118],"offers":[43],"reduced":[44],"parameter":[45,121],"complexity":[46],"improved":[48],"scalability":[49],"compared":[50],"conventional":[52],"deep":[53],"approaches.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59,115],"investigate":[60],"application":[62],"key":[66],"telecommunication":[67],"challenges,":[69],"specifically":[70],"focusing":[71],"on":[72],"throughput":[73],"prediction":[74,128],"handover":[76],"optimization.":[77],"We":[78],"propose":[79],"hybrid":[81],"architecture":[82],"that":[83,117],"integrates":[84],"QISL-based":[85],"representations":[87],"with":[88],"neural":[89],"networks,":[90],"employing":[91],"techniques":[92],"such":[93],"as":[94,133],"Adaptive":[95],"Cross":[96],"Approximation":[97],"(ACA)-based":[98],"decomposition":[100],"memory":[102],"efficiency":[103],"optimized":[105],"loss":[106],"functions":[107],"stable":[109],"convergence.":[110],"Through":[111],"extensive":[112],"numerical":[113],"simulations,":[114],"demonstrate":[116],"significantly":[119],"reduces":[120],"overhead":[122],"while":[123],"maintaining":[124],"competitive":[125],"or":[126],"superior":[127],"performance,":[129],"highlighting":[130],"its":[131],"potential":[132],"scalable":[135],"resource-efficient":[137],"alternative":[138],"5G":[140],"Future":[142],"6G":[143],"communication":[144],"systems.":[145]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-01-30T00:00:00"}