{"id":"https://openalex.org/W3008227004","doi":"https://doi.org/10.1109/icc40277.2020.9149049","title":"OPTCOMNET: Optimized Neural Networks for Low-Complexity Channel Estimation","display_name":"OPTCOMNET: Optimized Neural Networks for Low-Complexity Channel Estimation","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3008227004","doi":"https://doi.org/10.1109/icc40277.2020.9149049","mag":"3008227004"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9149049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9149049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.10493","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003327236","display_name":"Michel van Lier","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Michel van Lier","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075502847","display_name":"Alexios Balatsoukas\u2010Stimming","orcid":"https://orcid.org/0000-0002-6721-4666"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alexios Balatsoukas-Stimming","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084851604","display_name":"Henk Corporaaal","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Henk Corporaal","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067264401","display_name":"Zoran \u017divkovi\u0107","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zoran Zivkovic","raw_affiliation_strings":["Intel Corporation, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Eindhoven, Netherlands","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.7657950520515442},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6681841015815735},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5961801409721375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5821036696434021},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5735822916030884},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5452897548675537},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.44286003708839417},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.44201380014419556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42982596158981323},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41827592253685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41277217864990234},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3363417387008667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12909415364265442},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09211114048957825},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.08087146282196045},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.07878866791725159}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657950520515442},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6681841015815735},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5961801409721375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5821036696434021},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5735822916030884},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5452897548675537},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.44286003708839417},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.44201380014419556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42982596158981323},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41827592253685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41277217864990234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3363417387008667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12909415364265442},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09211114048957825},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.08087146282196045},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.07878866791725159},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/icc40277.2020.9149049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9149049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/bb9f5cac-fba1-423b-84d2-5b3597d1068c","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/bb9f5cac-fba1-423b-84d2-5b3597d1068c","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"van Lier, M, Balatsoukas-Stimming, A, Corporaal, H & Zivkovic, Z 2020, OPTCOMNET : Optimized Neural Networks for Low-Complexity Channel Estimation. in 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings., 9149049, Institute of Electrical and Electronics Engineers, 2020 IEEE International Conference on Communications (ICC 2020), Dublin, Ireland, 7/06/20. https://doi.org/10.1109/ICC40277.2020.9149049","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:arXiv.org:2002.10493","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.10493","pdf_url":"https://arxiv.org/pdf/2002.10493","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3008227004","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2002.10493.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:tue:oai:pure.tue.nl:publications/bb9f5cac-fba1-423b-84d2-5b3597d1068c","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/bb9f5cac-fba1-423b-84d2-5b3597d1068c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 IEEE International Conference on Communications, ICC 2020 - Proceedings","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"doi:10.48550/arxiv.2002.10493","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.10493","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.10493","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.10493","pdf_url":"https://arxiv.org/pdf/2002.10493","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3008227004.pdf","grobid_xml":"https://content.openalex.org/works/W3008227004.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W2025768430","https://openalex.org/W2118267334","https://openalex.org/W2146337213","https://openalex.org/W2402901296","https://openalex.org/W2495425901","https://openalex.org/W2573726823","https://openalex.org/W2734408173","https://openalex.org/W2809624076","https://openalex.org/W2884150179","https://openalex.org/W2897042325","https://openalex.org/W2940798501","https://openalex.org/W2957201328","https://openalex.org/W2963094099","https://openalex.org/W2963114950","https://openalex.org/W2963190722","https://openalex.org/W2963836746","https://openalex.org/W2963889719","https://openalex.org/W2964203871","https://openalex.org/W2964228333","https://openalex.org/W2974170798","https://openalex.org/W3011730771","https://openalex.org/W3168988594","https://openalex.org/W6631943919","https://openalex.org/W6639703010","https://openalex.org/W6681686951","https://openalex.org/W6713117669","https://openalex.org/W6748163181"],"related_works":["https://openalex.org/W3013863385","https://openalex.org/W3161098513","https://openalex.org/W3143419168","https://openalex.org/W3120868136","https://openalex.org/W3179996328","https://openalex.org/W3113342998","https://openalex.org/W3175566627","https://openalex.org/W3028459556","https://openalex.org/W3047517046","https://openalex.org/W3199269302","https://openalex.org/W3038013679","https://openalex.org/W2534788641","https://openalex.org/W2804268686","https://openalex.org/W2995260016","https://openalex.org/W2912890062","https://openalex.org/W3119992913","https://openalex.org/W3119699820","https://openalex.org/W3183680883","https://openalex.org/W2786098160","https://openalex.org/W2748818695"],"abstract_inverted_index":{"The":[0],"use":[1,25],"of":[2,26,46,60,99],"machine":[3],"learning":[4],"methods":[5],"to":[6,30,41,68,95,109,120,147,162],"tackle":[7],"challenging":[8,44],"physical":[9],"layer":[10],"signal":[11],"processing":[12],"tasks":[13],"has":[14],"attracted":[15],"significant":[16,121],"attention.":[17],"In":[18,52],"this":[19],"work,":[20],"we":[21,54,105,130],"focus":[22],"on":[23],"the":[24,43,48,78,81,97,169],"neural":[27],"networks":[28],"(NNs)":[29],"perform":[31,55],"pilot-assisted":[32],"channel":[33,49,82,101],"estimation":[34,83,102],"in":[35,39,66,77],"an":[36,89],"OFDM":[37],"system":[38],"order":[40,67],"avoid":[42],"task":[45],"estimating":[47],"covariance":[50],"matrix.":[51],"particular,":[53],"a":[56,125,134,157,164],"systematic":[57],"design-space":[58],"exploration":[59],"NN":[61,71,91,166],"configurations,":[62],"quantization,":[63],"and":[64,112,116,152],"pruning":[65,117],"improve":[69],"feedforward":[70],"architectures":[72],"that":[73,87,132],"are":[74],"typically":[75],"used":[76],"literature":[79],"for":[80,141,168],"task.":[84],"We":[85],"show":[86,131],"choosing":[88],"appropriate":[90],"architecture":[92],"is":[93],"crucial":[94],"reduce":[96],"complexity":[98,122,151],"NN-assisted":[100],"methods.":[103],"Moreover,":[104],"demonstrate":[106],"that,":[107],"similarly":[108],"other":[110],"applications":[111],"domains,":[113],"careful":[114],"quantization":[115],"can":[118],"lead":[119],"reduction":[123],"with":[124,136,160],"negligible":[126],"performance":[127,159],"degradation.":[128],"Finally,":[129],"using":[133,163],"solution":[135],"multiple":[137],"distinct":[138],"NNs":[139],"trained":[140,167],"different":[142],"signal-to-noise":[143],"ratios":[144],"interestingly":[145],"leads":[146],"lower":[148],"overall":[149],"computational":[150],"storage":[153],"requirements,":[154],"while":[155],"achieving":[156],"better":[158],"respect":[161],"single":[165],"entire":[170],"SNR":[171],"range.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}