{"id":"https://openalex.org/W3009941701","doi":"https://doi.org/10.1109/globecom38437.2019.9014046","title":"Random Pilot and Data Access for Massive MIMO Spatially Correlated Rayleigh Fading Channels","display_name":"Random Pilot and Data Access for Massive MIMO Spatially Correlated Rayleigh Fading Channels","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3009941701","doi":"https://doi.org/10.1109/globecom38437.2019.9014046","mag":"3009941701"},"language":"en","primary_location":{"id":"doi:10.1109/globecom38437.2019.9014046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9014046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","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/A5024843689","display_name":"Junyuan Gao","orcid":"https://orcid.org/0000-0002-6108-336X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junyuan Gao","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Minhang, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Minhang, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065362219","display_name":"Yongpeng Wu","orcid":"https://orcid.org/0000-0001-8210-5057"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongpeng Wu","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Minhang, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Minhang, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102745829","display_name":"Fan Wei","orcid":"https://orcid.org/0000-0003-3376-5299"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wei","raw_affiliation_strings":["Department of Electronic Engineering, Shanghai Jiao Tong University, Minhang, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Shanghai Jiao Tong University, Minhang, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024843689"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.5961,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70101446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"49","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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":1.0,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9993000030517578,"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/mimo","display_name":"MIMO","score":0.7166051864624023},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.688978910446167},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.6145912408828735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5807888507843018},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.5739085674285889},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5720518827438354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5560824871063232},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5419235825538635},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.5132031440734863},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5101400017738342},{"id":"https://openalex.org/keywords/spectral-efficiency","display_name":"Spectral efficiency","score":0.464002788066864},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.45924854278564453},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4376462996006012},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3372483253479004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29345330595970154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.285297691822052},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.25058311223983765},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24640512466430664},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19809070229530334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19283753633499146}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7166051864624023},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.688978910446167},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.6145912408828735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5807888507843018},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.5739085674285889},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5720518827438354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5560824871063232},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5419235825538635},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.5132031440734863},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5101400017738342},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.464002788066864},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.45924854278564453},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4376462996006012},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3372483253479004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29345330595970154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.285297691822052},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.25058311223983765},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24640512466430664},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19809070229530334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19283753633499146}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom38437.2019.9014046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9014046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","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":14,"referenced_works":["https://openalex.org/W1694183347","https://openalex.org/W2142015064","https://openalex.org/W2145013959","https://openalex.org/W2147601077","https://openalex.org/W2164887629","https://openalex.org/W2247161821","https://openalex.org/W2338465892","https://openalex.org/W2422021507","https://openalex.org/W2770606349","https://openalex.org/W2963265286","https://openalex.org/W2963411606","https://openalex.org/W2964118826","https://openalex.org/W3098350033","https://openalex.org/W3100505697"],"related_works":["https://openalex.org/W1495911156","https://openalex.org/W2100259668","https://openalex.org/W2160570982","https://openalex.org/W2137628250","https://openalex.org/W55148799","https://openalex.org/W2602252168","https://openalex.org/W2130715019","https://openalex.org/W2158796906","https://openalex.org/W2088618661","https://openalex.org/W2108756703"],"abstract_inverted_index":{"Random":[0],"access":[1,115],"is":[2,63,105,176],"necessary":[3],"in":[4,46,202],"crowded":[5],"scenarios":[6],"due":[7],"to":[8,178],"the":[9,15,24,66,85,92,126,135,155,167,173,179,196],"limitation":[10],"of":[11,18,23,89,121,129,147,160,172],"pilot":[12,59,103,112,193],"sequences":[13],"and":[14,31,58,84,113,125,134,157,205],"intermittent":[16],"pattern":[17],"device":[19,56],"activity.":[20],"Nowadays,":[21],"most":[22],"related":[25],"works":[26],"are":[27,42,79,95,132,163,200],"based":[28],"on":[29],"independent":[30],"identically":[32],"distributed":[33],"(i.i.d.)":[34],"channels.":[35,76],"However,":[36],"massive":[37,68],"multiple-input":[38],"multiple-output":[39],"(MIMO)":[40],"channels":[41],"not":[43],"always":[44],"i.i.d.":[45],"realistic":[47],"outdoor":[48],"wireless":[49],"propagation":[50],"environments.":[51],"In":[52,98],"this":[53,130,161],"paper,":[54],"a":[55,101,184],"grouping":[57],"set":[60,104],"allocation":[61],"algorithm":[62],"proposed":[64,174],"for":[65,191],"uplink":[67],"MIMO":[69],"systems":[70],"over":[71,183],"spatially":[72],"correlated":[73,207],"Rayleigh":[74],"fading":[75],"Firstly,":[77],"devices":[78,90,109,142],"divided":[80],"into":[81],"multiple":[82],"groups,":[83],"channel":[86,122],"covariance":[87],"matrixes":[88],"within":[91],"same":[93],"group":[94],"approximately":[96],"orthogonal.":[97],"each":[99],"group,":[100],"dedicated":[102],"assigned.":[106],"Then":[107],"active":[108],"perform":[110],"random":[111],"data":[114],"process.":[116],"The":[117,170],"mean":[118],"square":[119],"error":[120],"estimation":[123],"(MSE-CE)":[124],"spectral":[127,158],"efficiency":[128,159],"scheme":[131,175],"derived,":[133],"MSE-CE":[136,156,171,197],"can":[137],"be":[138],"minimized":[139],"when":[140],"collision":[141],"have":[143],"non-":[144],"overlapping":[145],"angle":[146],"arrival":[148],"(AoA)":[149],"intervals.":[150],"Simulation":[151],"results":[152],"indicate":[153],"that":[154],"protocol":[162],"improved":[164],"compared":[165],"with":[166],"traditional":[168],"scheme.":[169],"close":[177],"theoretical":[180],"lower":[181],"bound":[182],"wide":[185],"signal-to-noise":[186],"ratio":[187],"(SNR)":[188],"region":[189],"especially":[190],"long":[192],"sequence.":[194],"Furthermore,":[195],"performance":[198],"gains":[199],"significant":[201],"high":[203],"SNR":[204],"strongly":[206],"scenarios.":[208]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}