{"id":"https://openalex.org/W4417053019","doi":"https://doi.org/10.1109/ecoc66593.2025.11263360","title":"LP-VAE: Real-Time and Parameters' Uncertainty-Tolerant Launch-Power Optimization for UWB ISRS-Impaired Optical Links","display_name":"LP-VAE: Real-Time and Parameters' Uncertainty-Tolerant Launch-Power Optimization for UWB ISRS-Impaired Optical Links","publication_year":2025,"publication_date":"2025-09-28","ids":{"openalex":"https://openalex.org/W4417053019","doi":"https://doi.org/10.1109/ecoc66593.2025.11263360"},"language":null,"primary_location":{"id":"doi:10.1109/ecoc66593.2025.11263360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecoc66593.2025.11263360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 European Conference on Optical Communications (ECOC)","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/A5024455444","display_name":"Zhuojun Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuojun Cai","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071972923","display_name":"Yaoyuan Liang","orcid":"https://orcid.org/0009-0002-6708-458X"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoyuan Liang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101822995","display_name":"Faisal Nadeem Khan","orcid":"https://orcid.org/0000-0002-3053-974X"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faisal Nadeem Khan","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024455444"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38034415,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12024","display_name":"Ultra-Wideband Communications Technology","score":0.8180000185966492,"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/T12024","display_name":"Ultra-Wideband Communications Technology","score":0.8180000185966492,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.06710000336170197,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.021299999207258224,"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/testbed","display_name":"Testbed","score":0.6456999778747559},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5875999927520752},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4578999876976013},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.3887999951839447},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3255999982357025},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3095000088214874},{"id":"https://openalex.org/keywords/numerical-models","display_name":"Numerical models","score":0.30399999022483826},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.2976999878883362}],"concepts":[{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6456999778747559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5875999927520752},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5875999927520752},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4578999876976013},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4431999921798706},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3255999982357025},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32019999623298645},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3095000088214874},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3091999888420105},{"id":"https://openalex.org/C2986605239","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Numerical models","level":3,"score":0.30399999022483826},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28139999508857727},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C129404179","wikidata":"https://www.wikidata.org/wiki/Q1469765","display_name":"Optical communication","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C168292644","wikidata":"https://www.wikidata.org/wiki/Q10860336","display_name":"Power optimization","level":4,"score":0.2727999985218048},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C2986766224","wikidata":"https://www.wikidata.org/wiki/Q1156793","display_name":"System optimization","level":2,"score":0.25130000710487366},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecoc66593.2025.11263360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecoc66593.2025.11263360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 European Conference on Optical Communications (ECOC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3391522728","display_name":null,"funder_award_id":"W2432041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2740041536","https://openalex.org/W2767209875","https://openalex.org/W3092604307","https://openalex.org/W4220714411","https://openalex.org/W4318620465","https://openalex.org/W4323065055","https://openalex.org/W4323355924","https://openalex.org/W4385461940","https://openalex.org/W4385695891","https://openalex.org/W4387872537","https://openalex.org/W4391305678","https://openalex.org/W4401691962","https://openalex.org/W4408181076"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2],"probabilistic":[3],"ML-based":[4],"method":[5],"for":[6,22,27],"millisecond-timescale":[7],"launch":[8],"power":[9],"optimization":[10],"in":[11],"ultra-wideband":[12],"links":[13],"that":[14,36],"is":[15],"robust":[16],"to":[17],"parameters'":[18],"uncertainties.":[19],"Simulation":[20],"results":[21,26],"C+L-band":[23],"systems,":[24],"experimental":[25],"7-channel":[28],"testbed":[29],"and":[30],"20-channel":[31],"commercial":[32],"C-band":[33],"system":[34],"prove":[35],"our":[37],"model":[38],"significantly":[39],"outperforms":[40],"conventional":[41],"ANN":[42],"model.":[43]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-05T00:00:00"}
