{"id":"https://openalex.org/W4321607092","doi":"https://doi.org/10.1109/comsnets56262.2023.10041311","title":"Self-Supervised Reinforcement Learning for Proactive Prediction of Passive Intermodulation","display_name":"Self-Supervised Reinforcement Learning for Proactive Prediction of Passive Intermodulation","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4321607092","doi":"https://doi.org/10.1109/comsnets56262.2023.10041311"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets56262.2023.10041311","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comsnets56262.2023.10041311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS)","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/A5101911011","display_name":"Serene Banerjee","orcid":"https://orcid.org/0000-0002-5579-4819"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Serene Banerjee","raw_affiliation_strings":["Ericsson Research,Bangalore","Ericsson Research, Bangalore"],"affiliations":[{"raw_affiliation_string":"Ericsson Research,Bangalore","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"Ericsson Research, Bangalore","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087200559","display_name":"Pratyush Kiran Uppuluri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pratyush Kiran Uppuluri","raw_affiliation_strings":["Global AI Accelerator, Ericsson,India","Global AI Accelerator, Ericsson, India"],"affiliations":[{"raw_affiliation_string":"Global AI Accelerator, Ericsson,India","institution_ids":[]},{"raw_affiliation_string":"Global AI Accelerator, Ericsson, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042453466","display_name":"Rahul Sharma N","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahul Sharma N","raw_affiliation_strings":["Global AI Accelerator, Ericsson,India","Global AI Accelerator, Ericsson, India"],"affiliations":[{"raw_affiliation_string":"Global AI Accelerator, Ericsson,India","institution_ids":[]},{"raw_affiliation_string":"Global AI Accelerator, Ericsson, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006423606","display_name":"Subhadip Bandyopadhyay","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Subhadip Bandyopadhyay","raw_affiliation_strings":["Global AI Accelerator, Ericsson,India","Global AI Accelerator, Ericsson, India"],"affiliations":[{"raw_affiliation_string":"Global AI Accelerator, Ericsson,India","institution_ids":[]},{"raw_affiliation_string":"Global AI Accelerator, Ericsson, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101911011"],"corresponding_institution_ids":["https://openalex.org/I1306339040"],"apc_list":null,"apc_paid":null,"fwci":0.26,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46977671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12371","display_name":"Electrical Contact Performance and Analysis","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12371","display_name":"Electrical Contact Performance and Analysis","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8455780744552612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7614771723747253},{"id":"https://openalex.org/keywords/intermodulation","display_name":"Intermodulation","score":0.6419005990028381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5922569632530212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5755768418312073},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.44485020637512207},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4391905963420868},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.43685126304626465},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18146353960037231},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16459128260612488},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07879957556724548}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8455780744552612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7614771723747253},{"id":"https://openalex.org/C11773624","wikidata":"https://www.wikidata.org/wiki/Q2142232","display_name":"Intermodulation","level":4,"score":0.6419005990028381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5922569632530212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5755768418312073},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.44485020637512207},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4391905963420868},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.43685126304626465},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18146353960037231},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16459128260612488},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07879957556724548},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets56262.2023.10041311","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comsnets56262.2023.10041311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS)","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":8,"referenced_works":["https://openalex.org/W2085570173","https://openalex.org/W3034853385","https://openalex.org/W3163842339","https://openalex.org/W4205273442","https://openalex.org/W4206075390","https://openalex.org/W4206158309","https://openalex.org/W4206400368","https://openalex.org/W6772656779"],"related_works":["https://openalex.org/W2147869365","https://openalex.org/W1977117755","https://openalex.org/W2533026854","https://openalex.org/W4224285256","https://openalex.org/W1640309850","https://openalex.org/W4251369873","https://openalex.org/W2031784838","https://openalex.org/W2143493434","https://openalex.org/W2016026853","https://openalex.org/W2122957907"],"abstract_inverted_index":{"Passive":[0],"Intermodulation":[1],"(PIM)":[2],"is":[3,104,175],"one":[4],"of":[5,9,33,56,98,164,171],"the":[6,31,96,145,165,169,176],"leading":[7],"causes":[8],"uplink":[10],"signal":[11],"degradation":[12],"for":[13],"Long":[14],"Term":[15],"Evolution":[16],"(LTE),":[17],"5th":[18],"Generation":[19],"(5G),":[20],"and":[21,27,36,60,138,201],"beyond.":[22],"Carrier":[23],"aggregation,":[24],"frequency":[25,199],"hopping,":[26],"environmental":[28,71,132],"conditions":[29,133],"make":[30],"presence":[32],"PIM":[34,45,65,84,162,183,189],"prominent":[35],"detection":[37,190],"complex.":[38],"Prior":[39],"work":[40,110,178],"has":[41],"focused":[42],"on":[43,68,106,152],"detecting":[44],"from":[46],"Key":[47],"Performance":[48],"Indicators":[49],"(KPIs),":[50],"posing":[51],"it":[52],"as":[53],"an":[54],"ensemble":[55],"time":[57,166],"series-based,":[58],"online":[59],"generative":[61],"modeling-based":[62],"approaches.":[63],"As":[64],"anomalies":[66,120,184],"depend":[67],"dynamically":[69],"changing":[70],"factors,":[72],"a":[73,112],"traditional":[74],"supervised":[75],"learning":[76,89,115],"approach":[77,92,116],"would":[78,93],"not":[79,141],"be":[80,195],"adequate":[81],"to":[82,117,126,130,160],"forecast":[83,131],"anomalies.":[85],"An":[86],"alternative":[87],"reinforcement":[88,114],"(RL)":[90],"based":[91],"work,":[94],"at":[95,147],"cost":[97],"collecting":[99],"rewards":[100],"during":[101],"operation,":[102],"which":[103],"difficult":[105],"Telecommunication":[107],"networks.":[108],"This":[109],"proposes":[111],"self-supervised":[113],"predict":[118,161],"PIM-related":[119],"well":[121],"in":[122],"advance.":[123],"We":[124],"propose":[125],"use":[127],"historical":[128],"data":[129],"that":[134],"can":[135,194],"cause":[136],"PIM,":[137],"this":[139,174],"does":[140],"need":[142],"interaction":[143],"with":[144],"environment":[146],"run":[148],"time.":[149],"Experimental":[150],"results":[151],"real-world":[153],"datasets":[154],"comprising":[155],"50,000+":[156],"cells":[157],"have":[158],"shown":[159],"60%":[163],"accurately.":[167],"To":[168],"best":[170],"our":[172],"knowledge,":[173],"first":[177],"where":[179],"we":[180],"address":[181],"predicting":[182],"before":[185],"they":[186],"happen.":[187],"Post":[188],"or":[191],"prediction,":[192],"mitigation":[193],"done":[196],"by":[197],"modifying":[198],"allocation":[200],"using":[202],"artificial":[203],"intelligence.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}