{"id":"https://openalex.org/W3045771196","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148072","title":"Jointly optimized echo state network for short-term channel state information prediction of fading channel","display_name":"Jointly optimized echo state network for short-term channel state information prediction of fading channel","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045771196","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148072","mag":"3045771196"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5064962247","display_name":"Qiwu Luo","orcid":"https://orcid.org/0000-0003-2822-5538"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiwu Luo","raw_affiliation_strings":["School of Automation, Central South University, Changsha, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, P. R. China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066042851","display_name":"Jian Zhou","orcid":"https://orcid.org/0000-0001-8431-2412"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhou","raw_affiliation_strings":["School of Automation, Central South University, Changsha, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, P. R. China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020364531","display_name":"Yichuang Sun","orcid":"https://orcid.org/0000-0001-8352-2119"},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yichuang Sun","raw_affiliation_strings":["School of Engineering and Computer Science, University of Hertfordshire, Hatfield, Herts, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, University of Hertfordshire, Hatfield, Herts, United Kingdom","institution_ids":["https://openalex.org/I141584323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000602099","display_name":"Oluyomi Simpson","orcid":"https://orcid.org/0000-0002-5067-2046"},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Oluyomi Simpson","raw_affiliation_strings":["School of Engineering and Computer Science, University of Hertfordshire, Hatfield, Herts, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, University of Hertfordshire, Hatfield, Herts, United Kingdom","institution_ids":["https://openalex.org/I141584323"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064962247"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.4078,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69597722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"1480","last_page":"1484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","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/T12611","display_name":"Neural Networks and Reservoir Computing","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/T10232","display_name":"Optical Network Technologies","score":0.9961000084877014,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.978600025177002,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.7442281246185303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7289642691612244},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.686745822429657},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6599487662315369},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6090559959411621},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.599284291267395},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5727213621139526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5327926278114319},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.48284751176834106},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4819886088371277},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4720486104488373},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.4358593225479126},{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.43547266721725464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39766448736190796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35899055004119873},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.27627867460250854},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23563462495803833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20775842666625977},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.1992177665233612},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1489538848400116}],"concepts":[{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.7442281246185303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7289642691612244},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.686745822429657},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6599487662315369},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6090559959411621},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.599284291267395},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5727213621139526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5327926278114319},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.48284751176834106},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4819886088371277},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4720486104488373},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.4358593225479126},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.43547266721725464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39766448736190796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35899055004119873},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.27627867460250854},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23563462495803833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20775842666625977},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1992177665233612},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1489538848400116},{"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/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:uhra.herts.ac.uk:2299/23294","is_oa":false,"landing_page_url":"http://hdl.handle.net/2299/23294","pdf_url":null,"source":{"id":"https://openalex.org/S4306400241","display_name":"University of Hertfordshire Research Archive (University of Hertfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141584323","host_organization_name":"University of Hertfordshire","host_organization_lineage":["https://openalex.org/I141584323"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:uhra.herts.ac.uk:2299/23300","is_oa":false,"landing_page_url":"http://hdl.handle.net/2299/23300","pdf_url":null,"source":{"id":"https://openalex.org/S4306400241","display_name":"University of Hertfordshire Research Archive (University of Hertfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141584323","host_organization_name":"University of Hertfordshire","host_organization_lineage":["https://openalex.org/I141584323"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:uhra.herts.ac.uk:2299/23311","is_oa":false,"landing_page_url":"http://hdl.handle.net/2299/23311","pdf_url":null,"source":{"id":"https://openalex.org/S4306400241","display_name":"University of Hertfordshire Research Archive (University of Hertfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141584323","host_organization_name":"University of Hertfordshire","host_organization_lineage":["https://openalex.org/I141584323"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:uhra.herts.ac.uk:2299/23322","is_oa":false,"landing_page_url":"http://hdl.handle.net/2299/23322","pdf_url":null,"source":{"id":"https://openalex.org/S4306400241","display_name":"University of Hertfordshire Research Archive (University of Hertfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141584323","host_organization_name":"University of Hertfordshire","host_organization_lineage":["https://openalex.org/I141584323"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:uhra.herts.ac.uk:2299/23327","is_oa":false,"landing_page_url":"http://hdl.handle.net/2299/23327","pdf_url":null,"source":{"id":"https://openalex.org/S4306400241","display_name":"University of Hertfordshire Research Archive (University of Hertfordshire)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141584323","host_organization_name":"University of Hertfordshire","host_organization_lineage":["https://openalex.org/I141584323"],"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":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G220169509","display_name":null,"funder_award_id":"51704089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2868819323","display_name":null,"funder_award_id":"1808085","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G447716974","display_name":null,"funder_award_id":"61973323","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8633475912","display_name":null,"funder_award_id":"1808085QF190","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1609941950","https://openalex.org/W2029967456","https://openalex.org/W2041645455","https://openalex.org/W2118706537","https://openalex.org/W2136877883","https://openalex.org/W2139287577","https://openalex.org/W2163572752","https://openalex.org/W2169802641","https://openalex.org/W2311297018","https://openalex.org/W2364100938","https://openalex.org/W2556089422","https://openalex.org/W2773810651","https://openalex.org/W2886959252","https://openalex.org/W2893802071","https://openalex.org/W2912930576","https://openalex.org/W2964183150","https://openalex.org/W6746329393"],"related_works":["https://openalex.org/W57315087","https://openalex.org/W2010974764","https://openalex.org/W4386848428","https://openalex.org/W4205631599","https://openalex.org/W2021379535","https://openalex.org/W2020067398","https://openalex.org/W2967225774","https://openalex.org/W4292972806","https://openalex.org/W3013408351","https://openalex.org/W4390782828"],"abstract_inverted_index":{"Accurately":[0],"obtaining":[1],"channel":[2,20],"state":[3,28],"information":[4],"(CSI)":[5],"in":[6,58],"wireless":[7],"systems":[8],"is":[9,31,42,71],"significant":[10],"but":[11],"challenging.":[12],"This":[13],"paper":[14],"focuses":[15],"the":[16,38,76,108,138],"technique":[17],"of":[18,37,45,49,79],"machine-learning-based":[19],"estimation.":[21],"In":[22],"particular,":[23],"a":[24,35,64,99],"jointly":[25],"optimized":[26],"echo":[27],"network":[29],"(JOESN)":[30],"proposed":[32],"to":[33,60,73],"form":[34],"concept":[36],"CSI":[39],"prediction":[40,109],"which":[41],"made":[43],"up":[44],"two":[46,126],"interacting":[47],"aspects":[48],"output":[50,77],"weight":[51],"regularization":[52,70],"and":[53,93,111,118,129],"initial":[54],"parameter":[55],"optimization.":[56],"First,":[57],"order":[59],"enhance":[61],"noise":[62],"robustness,":[63],"sparse":[65],"regression":[66],"based":[67],"on":[68,125,142],"L2":[69],"employed":[72],"finely":[74],"learn":[75],"weights":[78],"ESN.":[80],"Second,":[81],"vital":[82],"reservoir":[83,89],"parameters":[84],"(i.e.,":[85],"global":[86],"scaling":[87,91],"factor,":[88],"size,":[90],"coefficient":[92],"sparsity":[94],"degree)":[95],"are":[96,122],"learned":[97],"by":[98],"linear-weighted":[100],"particle":[101],"swarm":[102],"optimization":[103],"(LW-PSO)":[104],"for":[105],"further":[106],"improve":[107],"accuracy":[110],"reliability.":[112],"The":[113,133],"experiments":[114],"about":[115],"computational":[116],"complexity":[117],"three":[119],"evaluating":[120],"metrics":[121],"carried":[123],"out":[124],"chaotic":[127,144],"benchmarks":[128],"one":[130],"real-world":[131],"dataset.":[132],"analyzed":[134],"results":[135],"indicate":[136],"that":[137],"JOESN":[139],"performs":[140],"promisingly":[141],"multivariate":[143],"time":[145],"series":[146],"prediction.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}