{"id":"https://openalex.org/W2970195506","doi":"https://doi.org/10.1109/spawc.2019.8815557","title":"Machine Learning-Based Channel Estimation in Massive MIMO with Channel Aging","display_name":"Machine Learning-Based Channel Estimation in Massive MIMO with Channel Aging","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2970195506","doi":"https://doi.org/10.1109/spawc.2019.8815557","mag":"2970195506"},"language":"en","primary_location":{"id":"doi:10.1109/spawc.2019.8815557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2019.8815557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.qub.ac.uk/en/publications/1c9c2c90-3e3c-47ac-bc43-48a9dc293ddb","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048037778","display_name":"Jide Yuan","orcid":"https://orcid.org/0000-0002-5585-6039"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jide Yuan","raw_affiliation_strings":["Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K","Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052919611","display_name":"Hien Quoc Ngo","orcid":"https://orcid.org/0000-0002-3367-2220"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hien Quoc Ngo","raw_affiliation_strings":["Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K","Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035876091","display_name":"Michail Matthaiou","orcid":"https://orcid.org/0000-0001-9235-7741"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michail Matthaiou","raw_affiliation_strings":["Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K","Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Institute of Electronics, Communications and Information Technology (ECIT), Queen's University, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048037778"],"corresponding_institution_ids":["https://openalex.org/I126231945"],"apc_list":null,"apc_paid":null,"fwci":2.9046,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91388922,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998000264167786,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998000264167786,"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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9997000098228455,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9991000294685364,"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/autoregressive-model","display_name":"Autoregressive model","score":0.8075461387634277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546359300613403},{"id":"https://openalex.org/keywords/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.7073162794113159},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6185387969017029},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6130942702293396},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5909451842308044},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5663148164749146},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5105215311050415},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5048733353614807},{"id":"https://openalex.org/keywords/duplex","display_name":"Duplex (building)","score":0.4944169521331787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4651328921318054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46230757236480713},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41280660033226013},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40648460388183594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3867444694042206},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3618464469909668},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12620210647583008},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12207520008087158},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12099900841712952},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12052571773529053}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8075461387634277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546359300613403},{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.7073162794113159},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6185387969017029},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6130942702293396},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5909451842308044},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5663148164749146},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5105215311050415},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5048733353614807},{"id":"https://openalex.org/C99611785","wikidata":"https://www.wikidata.org/wiki/Q6453233","display_name":"Duplex (building)","level":3,"score":0.4944169521331787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4651328921318054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46230757236480713},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41280660033226013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40648460388183594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3867444694042206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3618464469909668},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12620210647583008},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12207520008087158},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12099900841712952},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12052571773529053},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C552990157","wikidata":"https://www.wikidata.org/wiki/Q7430","display_name":"DNA","level":2,"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":2,"locations":[{"id":"doi:10.1109/spawc.2019.8815557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2019.8815557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/1c9c2c90-3e3c-47ac-bc43-48a9dc293ddb","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/1c9c2c90-3e3c-47ac-bc43-48a9dc293ddb","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jide , Y , Ngo , H Q & Matthaiou , M 2019 , Machine Learning-Based Channel Estimation in Massive MIMO with Channel Aging . in 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019): Proceedings . International Workshop on Signal Processing Advances in Wireless Communications (SPAWC): Proceedings , Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SPAWC.2019.8815557","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/1c9c2c90-3e3c-47ac-bc43-48a9dc293ddb","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/1c9c2c90-3e3c-47ac-bc43-48a9dc293ddb","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jide , Y , Ngo , H Q & Matthaiou , M 2019 , Machine Learning-Based Channel Estimation in Massive MIMO with Channel Aging . in 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019): Proceedings . International Workshop on Signal Processing Advances in Wireless Communications (SPAWC): Proceedings , Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SPAWC.2019.8815557","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2014447384","https://openalex.org/W2103452139","https://openalex.org/W2123252081","https://openalex.org/W2157293015","https://openalex.org/W2166627902","https://openalex.org/W2242218935","https://openalex.org/W2400238828","https://openalex.org/W2593182119","https://openalex.org/W2963889719","https://openalex.org/W3106510787","https://openalex.org/W4230715394","https://openalex.org/W6734054434"],"related_works":["https://openalex.org/W2606910468","https://openalex.org/W3116827148","https://openalex.org/W3120843198","https://openalex.org/W2154965898","https://openalex.org/W2036704594","https://openalex.org/W4226315710","https://openalex.org/W3083782034","https://openalex.org/W4287185323","https://openalex.org/W2117809914","https://openalex.org/W2995801509"],"abstract_inverted_index":{"To":[0,28],"support":[1],"the":[2,53,104,108],"ever":[3],"increasing":[4],"number":[5],"of":[6,16],"devices":[7],"in":[8,42],"massive":[9],"multiple-input":[10],"multiple-output":[11],"systems,":[12],"an":[13,84],"excessive":[14],"amount":[15],"overhead":[17,111],"is":[18,112],"required":[19],"for":[20,114],"conventional":[21],"orthogonal":[22],"pilot-based":[23],"channel":[24,44,55],"estimation":[25],"(CE)":[26],"schemes.":[27],"relax":[29],"this":[30],"stringent":[31],"constraint,":[32],"we":[33],"design":[34],"a":[35,62,74],"machine":[36],"learning":[37],"(ML)-based":[38],"time-division":[39],"duplex":[40],"scheme":[41],"which":[43,68],"state":[45],"information":[46],"(CSI)":[47],"can":[48,69,101],"be":[49,70],"obtained":[50],"by":[51],"leveraging":[52],"temporal":[54],"correlation.":[56],"The":[57],"proposed":[58],"ML-based":[59,99],"predictors":[60,100],"involve":[61],"pattern":[63],"extraction":[64],"and":[65,79,107],"CSI":[66],"predictor,":[67],"implemented":[71],"via":[72],"either":[73],"convolutional":[75],"neural":[76,91],"network":[77,86,92],"(CNN)":[78],"autoregressive":[80,85],"(AR)":[81],"predictor":[82],"or":[83],"with":[87],"exogenous":[88],"inputs":[89],"recurrent":[90],"(NARX-RNN),":[93],"respectively.":[94],"Numerical":[95],"results":[96],"demonstrate":[97],"that":[98],"remarkably":[102],"improve":[103],"prediction":[105],"quality,":[106],"optimal":[109],"CE":[110],"provided":[113],"practical":[115],"reference.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}