{"id":"https://openalex.org/W4412015578","doi":"https://doi.org/10.1007/s10791-025-09654-7","title":"Near-field extremely large-scale MIMO data rate prediction based on deep learning","display_name":"Near-field extremely large-scale MIMO data rate prediction based on deep learning","publication_year":2025,"publication_date":"2025-07-04","ids":{"openalex":"https://openalex.org/W4412015578","doi":"https://doi.org/10.1007/s10791-025-09654-7"},"language":"en","primary_location":{"id":"doi:10.1007/s10791-025-09654-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09654-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09654-7.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09654-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085132479","display_name":"Guozhi Rong","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guozhi Rong","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, 710072, Shaanxi, China","Xi\u2019an Institute of Space Radio Technology, Xi\u2019an, 710100, Shaanxi, China","School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, 710072, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Xi\u2019an Institute of Space Radio Technology, Xi\u2019an, 710100, Shaanxi, China","institution_ids":["https://openalex.org/I194716290"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013368501","display_name":"Rugui Yao","orcid":"https://orcid.org/0000-0003-1396-3802"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rugui Yao","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, 710072, Shaanxi, China","School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, 710072, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100461963","display_name":"Yifeng He","orcid":"https://orcid.org/0000-0002-1700-3166"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng He","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, 710072, Shaanxi, China","Xi\u2019an Institute of Space Radio Technology, Xi\u2019an, 710100, Shaanxi, China","Xi'an Institute of Space Radio Technology, Xi'an, 710100, Shaanxi, China","School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, 710072, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Xi\u2019an Institute of Space Radio Technology, Xi\u2019an, 710100, Shaanxi, China","institution_ids":["https://openalex.org/I194716290"]},{"raw_affiliation_string":"Xi'an Institute of Space Radio Technology, Xi'an, 710100, Shaanxi, China","institution_ids":["https://openalex.org/I194716290"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085132479"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I194716290"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14470448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9990000128746033,"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/deep-learning","display_name":"Deep learning","score":0.6109347939491272},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5833721160888672},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5653645992279053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47944512963294983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4670763313770294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3425971269607544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17617565393447876},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1598561406135559},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15286767482757568}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6109347939491272},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5833721160888672},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5653645992279053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47944512963294983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4670763313770294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3425971269607544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17617565393447876},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1598561406135559},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15286767482757568},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10791-025-09654-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09654-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09654-7.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:665d4cbe1f9244159dfb8e277d7bfb83","is_oa":true,"landing_page_url":"https://doaj.org/article/665d4cbe1f9244159dfb8e277d7bfb83","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Computing, Vol 28, Iss 1, Pp 1-24 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10791-025-09654-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09654-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09654-7.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412015578.pdf","grobid_xml":"https://content.openalex.org/works/W4412015578.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2026243162","https://openalex.org/W2883646235","https://openalex.org/W2928000128","https://openalex.org/W2949685089","https://openalex.org/W2969588315","https://openalex.org/W2977125388","https://openalex.org/W2997786076","https://openalex.org/W3000600586","https://openalex.org/W3004793059","https://openalex.org/W3215644076","https://openalex.org/W4221155761","https://openalex.org/W4221155763","https://openalex.org/W4226370247","https://openalex.org/W4247219141","https://openalex.org/W4297094903","https://openalex.org/W4297310224","https://openalex.org/W4312549913","https://openalex.org/W4312848937","https://openalex.org/W4323354127","https://openalex.org/W4360596735","https://openalex.org/W4365129844","https://openalex.org/W4377224350","https://openalex.org/W4381832497","https://openalex.org/W4383219268","https://openalex.org/W4386361845","https://openalex.org/W4388010064","https://openalex.org/W4397002091","https://openalex.org/W4399601919","https://openalex.org/W4399849455","https://openalex.org/W4403267938","https://openalex.org/W4410312670","https://openalex.org/W6601048975"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4387369504","https://openalex.org/W3082895349"],"abstract_inverted_index":{"The":[0,185],"channel":[1,67,91,132],"matrix":[2],"dimension":[3],"of":[4,23,76,102,110,121,131,193,198,230,239,246],"the":[5,17,21,27,66,73,77,82,90,97,106,118,129,136,164,178,190,194,208],"near-field":[6,55,122],"ultra-large-scale":[7],"MIMO":[8,58,125],"(Multiple-Input":[9],"Multiple-Output)":[10],"system":[11,39],"is":[12],"extremely":[13,56,123],"high":[14],"due":[15],"to":[16,35,63,88,145,219,257],"significant":[18],"increase":[19],"in":[20,54,70,200,225],"number":[22],"antennas,":[24],"thus":[25],"aggravating":[26],"computational":[28],"and":[29,32,38,153,155,161,169,173,207,222,242],"storage":[30],"burdens,":[31],"posing":[33],"challenges":[34],"real-time":[36,231,253],"processing":[37,244,254],"resource":[40],"management.":[41],"Furthermore,":[42],"traditional":[43],"methods":[44],"for":[45,163,167,181],"obtaining":[46],"Channel":[47],"State":[48],"Information":[49],"(CSI)":[50],"may":[51],"perform":[52],"poorly":[53],"large-scale":[57,124],"systems,":[59],"making":[60],"it":[61],"difficult":[62],"accurately":[64,116],"capture":[65,117],"characteristics,":[68],"which":[69,113,216],"turn":[71],"affect":[72],"overall":[74],"performance":[75],"system.":[78],"This":[79,94],"study":[80],"utilized":[81,141],"CsiNet-LSTM":[83,199,233],"(Long":[84],"Short-Term":[85],"Memory)":[86],"model":[87,104,166,180],"realize":[89],"capacity":[92,133],"prediction.":[93,134],"method":[95],"combined":[96,175],"efficient":[98],"CSI":[99,147,171],"compression":[100],"technique":[101],"CsiNet":[103,165],"with":[105,177],"temporal":[107],"prediction":[108,237],"capability":[109],"LSTM":[111,179],"network,":[112],"could":[114],"more":[115],"dynamic":[119],"characteristics":[120],"channels,":[126],"thereby":[127],"improving":[128],"accuracy":[130],"During":[135],"research":[137],"process,":[138],"this":[139],"article":[140],"communication":[142],"simulation":[143],"tools":[144],"generate":[146],"data":[148],"under":[149,211],"multiple":[150],"propagation":[151,203],"environments":[152],"normalize":[154],"segment":[156],"them,":[157],"then":[158],"built":[159],"encoders":[160],"decoders":[162],"extracting":[168],"reconstructing":[170],"features,":[172],"finally":[174],"them":[176],"time":[182,238],"series":[183],"modeling.":[184],"experimental":[186],"results":[187],"showed":[188],"that":[189],"signal":[191,196,209],"strength":[192,197],"normalized":[195],"a":[201,243],"multipath":[202],"environment":[204],"reaches":[205],"0.6,":[206],"quality":[210],"noise":[212],"conditions":[213],"reached":[214],"0.7,":[215],"was":[217],"superior":[218],"other":[220,258],"models":[221],"demonstrated":[223],"stability":[224],"complex":[226],"environments.":[227],"In":[228],"terms":[229],"performance,":[232],"had":[234],"an":[235],"average":[236],"0.35":[240],"s":[241],"speed":[245],"2857":[247],"samples":[248],"per":[249],"second,":[250],"demonstrating":[251],"excellent":[252],"capabilities":[255],"compared":[256],"models.":[259]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
