{"id":"https://openalex.org/W2287591316","doi":"https://doi.org/10.1109/wcnc.2015.7127478","title":"Compressive sensing based pilot design for spatial correlated massive antenna arrays","display_name":"Compressive sensing based pilot design for spatial correlated massive antenna arrays","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W2287591316","doi":"https://doi.org/10.1109/wcnc.2015.7127478","mag":"2287591316"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2015.7127478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2015.7127478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5102207782","display_name":"Jing Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Xu","raw_affiliation_strings":["State Key Laboratory of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, P. R. China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041465972","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0002-4494-6389"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, P. R. China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112896960","display_name":"Ailing Wang","orcid":"https://orcid.org/0009-0000-0904-2993"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ailing Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, P. R. China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067230099","display_name":"Chong Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Yin","raw_affiliation_strings":["State Key Laboratory of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, P. R. China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102207782"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.6472,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71065953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994999766349792,"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":0.9991999864578247,"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/compressed-sensing","display_name":"Compressed sensing","score":0.730065107345581},{"id":"https://openalex.org/keywords/restricted-isometry-property","display_name":"Restricted isometry property","score":0.7166634202003479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6905609369277954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6061747670173645},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.513810932636261},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5025184154510498},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.49786972999572754},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.4920915961265564},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44892311096191406},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.43798452615737915},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35448044538497925},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3259030282497406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22217032313346863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20739665627479553},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19128301739692688},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13783204555511475},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11167997121810913}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.730065107345581},{"id":"https://openalex.org/C17902559","wikidata":"https://www.wikidata.org/wiki/Q17099734","display_name":"Restricted isometry property","level":3,"score":0.7166634202003479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905609369277954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6061747670173645},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.513810932636261},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5025184154510498},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.49786972999572754},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.4920915961265564},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44892311096191406},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.43798452615737915},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35448044538497925},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3259030282497406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22217032313346863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20739665627479553},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19128301739692688},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13783204555511475},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11167997121810913},{"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:10.1109/wcnc.2015.7127478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2015.7127478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2008966588","https://openalex.org/W2031107356","https://openalex.org/W2034035111","https://openalex.org/W2055183255","https://openalex.org/W2099721949","https://openalex.org/W2116331145","https://openalex.org/W2119667497","https://openalex.org/W2127271355","https://openalex.org/W2134033146","https://openalex.org/W2141682101","https://openalex.org/W2145900013","https://openalex.org/W2168625863","https://openalex.org/W2539198515"],"related_works":["https://openalex.org/W1595179898","https://openalex.org/W2949399405","https://openalex.org/W4301619540","https://openalex.org/W4297570801","https://openalex.org/W2952050240","https://openalex.org/W2568623927","https://openalex.org/W2085436476","https://openalex.org/W2025666718","https://openalex.org/W1523595302","https://openalex.org/W1959156040"],"abstract_inverted_index":{"In":[0,73],"this":[1,74,76],"paper,":[2],"we":[3],"look":[4],"at":[5,88],"the":[6,26,34,43,58,79,90,94,142],"raising":[7],"spatial":[8,17,85,145,171],"antenna":[9,13,112,175],"correlations":[10],"in":[11,25,53,84,116,170],"massive":[12,174],"arrays":[14],"and":[15,67,110,129,151,159],"leverage":[16],"correlation":[18],"combined":[19],"with":[20,103,165],"Compressive":[21],"Sensing":[22],"(CS)":[23],"theory":[24],"process":[27],"of":[28,37,48,60,93],"channel":[29,118,161],"estimation.":[30,119],"According":[31],"to":[32,70,105,125],"CS,":[33],"success":[35],"probability":[36],"recovery":[38],"is":[39,63,136],"highly":[40],"dependent":[41],"on":[42],"restricted":[44],"isometry":[45],"property":[46],"(RIP)":[47],"dictionary":[49,61,95],"matrix.":[50,96],"Recent":[51],"advances":[52],"CS":[54],"suggest":[55],"that":[56,141],"minimizing":[57,89],"coherence":[59,92],"matrix":[62],"an":[64,100],"alternative":[65],"efficient":[66],"effective":[68],"way":[69],"test":[71],"RIP.":[72],"basis,":[75],"paper":[77],"addresses":[78],"pilot":[80,106,111,146,157],"pattern":[81,147],"design":[82,127],"problem":[83,102],"domain":[86,172],"aiming":[87],"averaged":[91],"We":[97],"first":[98],"formulate":[99],"optimization":[101],"regard":[104],"power":[107],"distribution":[108],"(PPD)":[109],"indexes":[113],"set":[114],"(PAIS)":[115],"CS-based":[117,144],"Then":[120],"two":[121],"algorithms":[122],"are":[123],"proposed":[124],"separately":[126],"PPD":[128],"PAIS.":[130],"Moreover,":[131],"a":[132],"jointly":[133],"optimizing":[134],"algorithm":[135],"presented.":[137],"Simulation":[138],"results":[139],"demonstrate":[140],"designed":[143],"outperforms":[148],"random":[149],"pilots":[150],"equal":[152],"pilots,":[153],"which":[154],"significantly":[155],"reduce":[156],"overhead":[158],"improve":[160],"estimation":[162,169],"quality":[163],"compared":[164],"linear":[166],"square":[167],"(LS)":[168],"for":[173],"arrays.":[176]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}