{"id":"https://openalex.org/W4376852407","doi":"https://doi.org/10.1145/3573942.3574003","title":"AMP-Net Based Beamspace Channel Estimation in mmWave Massive MIMO Systems","display_name":"AMP-Net Based Beamspace Channel Estimation in mmWave Massive MIMO Systems","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4376852407","doi":"https://doi.org/10.1145/3573942.3574003"},"language":"en","primary_location":{"id":"doi:10.1145/3573942.3574003","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573942.3574003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","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/A5083133532","display_name":"Juanyi Zheng","orcid":"https://orcid.org/0000-0001-9765-135X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juanyi Zheng","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0001-9765-135X","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109636385","display_name":"Lirong Xing","orcid":"https://orcid.org/0000-0001-6101-4244"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Xing","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0001-6101-4244","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060925825","display_name":"Jinyu Mu","orcid":"https://orcid.org/0000-0002-9625-2805"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyu Mu","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-9625-2805","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017719253","display_name":"Yuanyuan Lv","orcid":"https://orcid.org/0000-0003-3979-7814"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Lv","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-3979-7814","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101519352","display_name":"Jie Pei","orcid":"https://orcid.org/0000-0002-2213-1533"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Jie","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-2213-1533","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5083133532"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14885849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":null,"first_page":"1134","last_page":"1140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.998199999332428,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9979000091552734,"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":0.7460800409317017},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.7302801012992859},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7252371907234192},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6011888980865479},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5005965232849121},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.4881754517555237},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47597044706344604},{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.4415279030799866},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4341309368610382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18576958775520325},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12961840629577637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7460800409317017},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7302801012992859},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7252371907234192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6011888980865479},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5005965232849121},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.4881754517555237},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47597044706344604},{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.4415279030799866},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4341309368610382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18576958775520325},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12961840629577637},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573942.3574003","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573942.3574003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1989261702","https://openalex.org/W2111953900","https://openalex.org/W2137012645","https://openalex.org/W2151693816","https://openalex.org/W2563885308","https://openalex.org/W2619204584","https://openalex.org/W2724191955","https://openalex.org/W2890391580","https://openalex.org/W2922098122","https://openalex.org/W2945858715","https://openalex.org/W2963290381","https://openalex.org/W2963290405","https://openalex.org/W2963334250","https://openalex.org/W2972578985","https://openalex.org/W3049280186","https://openalex.org/W3081258430","https://openalex.org/W3091391704","https://openalex.org/W3135079286","https://openalex.org/W3137398234"],"related_works":["https://openalex.org/W2549922247","https://openalex.org/W2023262826","https://openalex.org/W2300663769","https://openalex.org/W1523391825","https://openalex.org/W2152231009","https://openalex.org/W2152589265","https://openalex.org/W2735239078","https://openalex.org/W2963414100","https://openalex.org/W2372875289","https://openalex.org/W2071589878"],"abstract_inverted_index":{"Due":[0],"to":[1,111,143],"the":[2,8,13,31,45,48,53,69,73,77,93,100,113,119,122,126,137,145,148,157,162],"high":[3],"channel":[4,15,32,38,57,115,150],"dimensionality":[5],"caused":[6],"by":[7,43],"large":[9],"number":[10],"of":[11,55,72,121,147],"antennas,":[12],"beamspace":[14,37,56,74,114,149],"estimation":[16,33,39,58,116,151,163],"is":[17,41,59,86,89,97,109,129],"challenging":[18],"in":[19,99],"millimeter":[20],"wave":[21],"(mmWave)":[22],"massive":[23],"multiple-input":[24],"multiple-output":[25],"(MIMO)":[26],"uplink":[27],"systems.":[28],"To":[29],"enhance":[30],"accuracy,":[34],"a":[35,103,132],"novel":[36],"method":[40],"presented":[42],"employing":[44],"benefit":[46],"from":[47],"compressed":[49],"sensing":[50],"(CS).":[51],"Specifically,":[52],"problem":[54,66],"firstly":[60],"transformed":[61],"into":[62,131],"an":[63],"underdetermined":[64],"optimization":[65],"based":[67,82,168],"on":[68,83],"sparse":[70],"characteristic":[71],"channel.":[75],"Then":[76],"approximate":[78],"message":[79],"passing":[80],"(AMP)":[81],"neural":[84,106],"network":[85,107,134,172],"presented,":[87],"which":[88],"called":[90],"AMP-Net.":[91],"When":[92],"handcrafted":[94],"optimal":[95],"transform":[96],"orthogonal":[98],"AMP":[101,123],"algorithm,":[102],"balanced":[104],"convolutional":[105],"(CNN)":[108],"designed":[110],"select":[112],"results":[117,154],"under":[118],"guidance":[120],"algorithm.":[124],"Finally,":[125],"iterative":[127],"process":[128],"expanded":[130],"deep":[133],"form.":[135],"In":[136],"network,":[138],"controllable":[139],"parameters":[140],"are":[141],"introduced":[142],"increase":[144],"flexibility":[146],"process.":[152],"Simulation":[153],"demonstrate":[155],"that":[156],"proposed":[158],"algorithm":[159],"has":[160],"better":[161],"accuracy":[164],"than":[165],"conventional":[166],"CS":[167],"algorithms":[169],"and":[170],"other":[171],"models.":[173]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}