{"id":"https://openalex.org/W2741628048","doi":"https://doi.org/10.1109/icc.2017.7997445","title":"Compressed sensing based semidefinite relaxation detection algorithm for overloaded uplink multiuser massive MIMO system","display_name":"Compressed sensing based semidefinite relaxation detection algorithm for overloaded uplink multiuser massive MIMO system","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2741628048","doi":"https://doi.org/10.1109/icc.2017.7997445","mag":"2741628048"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2017.7997445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2017.7997445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100412927","display_name":"Lin Li","orcid":"https://orcid.org/0000-0003-0754-8143"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, Heilongjiang, CN","Communications Research Center, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, Heilongjiang, CN","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Communications Research Center, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101940082","display_name":"Weixiao Meng","orcid":"https://orcid.org/0000-0001-8938-2866"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixiao Meng","raw_affiliation_strings":["Communications Research Center, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Research Center, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100354297","display_name":"Cheng Li","orcid":"https://orcid.org/0000-0003-3424-2414"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Cheng Li","raw_affiliation_strings":["Faculty of Engineering, Memorial University of Newfoundland, Canada","Faculty of Engineering , Memorial University of Newfoundland , Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Memorial University of Newfoundland, Canada","institution_ids":["https://openalex.org/I130438778"]},{"raw_affiliation_string":"Faculty of Engineering , Memorial University of Newfoundland , Canada","institution_ids":["https://openalex.org/I130438778"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08588438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"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":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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.7193243503570557},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.7059537172317505},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.7056013941764832},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7048248648643494},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.5353726744651794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5304103493690491},{"id":"https://openalex.org/keywords/qam","display_name":"QAM","score":0.4989163875579834},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.47061946988105774},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4610558748245239},{"id":"https://openalex.org/keywords/precoding","display_name":"Precoding","score":0.4576635956764221},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4340587854385376},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4298028349876404},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.27295225858688354},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20828819274902344},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1952742040157318},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.19027546048164368},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.15036487579345703},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.08356010913848877}],"concepts":[{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.7193243503570557},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7059537172317505},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.7056013941764832},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7048248648643494},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.5353726744651794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5304103493690491},{"id":"https://openalex.org/C59030546","wikidata":"https://www.wikidata.org/wiki/Q7265371","display_name":"QAM","level":5,"score":0.4989163875579834},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.47061946988105774},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4610558748245239},{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.4576635956764221},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4340587854385376},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4298028349876404},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.27295225858688354},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20828819274902344},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1952742040157318},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.19027546048164368},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.15036487579345703},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.08356010913848877},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2017.7997445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2017.7997445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5299999713897705,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1991687414","https://openalex.org/W2005772714","https://openalex.org/W2024518655","https://openalex.org/W2050308627","https://openalex.org/W2066728942","https://openalex.org/W2096712872","https://openalex.org/W2101870477","https://openalex.org/W2128202699","https://openalex.org/W2130933062","https://openalex.org/W2139317044","https://openalex.org/W2162273329","https://openalex.org/W2178101374","https://openalex.org/W2912522929","https://openalex.org/W4250589301","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W4390873927","https://openalex.org/W2147334234","https://openalex.org/W2159438609","https://openalex.org/W2900995485","https://openalex.org/W3196902411","https://openalex.org/W2139936226","https://openalex.org/W1970526599","https://openalex.org/W2064534496","https://openalex.org/W3026565890","https://openalex.org/W2117555526"],"abstract_inverted_index":{"The":[0,20],"research":[1],"on":[2,99],"detection":[3,22,91,103,152],"algorithms":[4,23],"for":[5,18,93,168],"uplink":[6],"multiuser":[7],"Massive":[8],"multi":[9,11],"input":[10],"output":[12],"(MIMO)":[13],"system":[14],"is":[15,62,97,117],"a":[16,60,77,84,100,149],"hot-spot":[17],"5G.":[19],"recent":[21],"are":[24],"constrained":[25],"by":[26],"the":[27,31,42,47,51,114,136,155,185,194],"assumed":[28],"condition":[29],"that":[30,50,65],"receiving":[32,67,197],"antennas'":[33,44,198],"number":[34,53],"should":[35],"be":[36],"equal":[37],"to":[38,74,108,165],"or":[39],"larger":[40,63],"than":[41,64],"transmitting":[43,55],"number.":[45],"For":[46],"overloaded":[48,102,186],"case":[49,187],"total":[52],"of":[54,57,66,132,147,154,188],"antennas":[56,68],"users":[58,106],"in":[59,184],"cell":[61],"at":[69,119,159,182],"base":[70],"station(BS),":[71],"they":[72],"fail":[73],"detect":[75],"with":[76,127],"bad":[78],"performance.":[79],"Thus,":[80],"this":[81,94],"paper":[82],"presents":[83],"compressed":[85],"sensing":[86],"based":[87,98],"semidefinite":[88],"relaxation":[89],"(CSR)":[90],"algorithm":[92],"case,":[95],"which":[96],"sparse":[101],"model":[104],"where":[105,191],"select":[107],"access":[109],"randomly":[110],"and":[111,113,174,196],"autonomously":[112],"accessed":[115,157,180],"state":[116,158,181],"unknown":[118],"BS.":[120],"Simulation":[121],"results":[122],"shows":[123],"its":[124],"efficiency.":[125],"Along":[126],"low":[128,161],"polynomial":[129],"computational":[130],"complexity":[131],"O(N2.5K)":[133],"per":[134],"symbol,":[135],"proposed":[137],"CSRD":[138],"obtains":[139],"an":[140],"approximate":[141],"optimum":[142],"bits":[143],"error":[144],"rate":[145,153],"performance":[146],"10\u22125and":[148],"high":[150],"correct":[151],"users'":[156,179,195],"medium":[160],"average":[162],"received":[163],"signal":[164,176],"noise":[166],"ratio":[167],"combined":[169],"4-quadrature":[170],"amplitude":[171],"modulation":[172],"(QAM)":[173],"16QAM":[175],"without":[177],"known":[178],"BS":[183],"Nk>":[189],"Nr,":[190],"NKand":[192],"Nrdenote":[193],"numbers,":[199],"respectively.":[200]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}