{"id":"https://openalex.org/W2533153927","doi":"https://doi.org/10.1109/iccchina.2016.7636727","title":"Joint conjugate gradient and Jacobi iteration based low complexity precoding for massive MIMO systems","display_name":"Joint conjugate gradient and Jacobi iteration based low complexity precoding for massive MIMO systems","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2533153927","doi":"https://doi.org/10.1109/iccchina.2016.7636727","mag":"2533153927"},"language":"en","primary_location":{"id":"doi:10.1109/iccchina.2016.7636727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccchina.2016.7636727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/CIC International Conference on Communications in China (ICCC)","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/A5027937872","display_name":"Wei Song","orcid":"https://orcid.org/0000-0002-5950-9165"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Song","raw_affiliation_strings":["School of Electronics and Information Engineering, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441949","display_name":"Xiang Chen","orcid":"https://orcid.org/0000-0002-9800-6472"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Chen","raw_affiliation_strings":["Key Lab of EDA, Research Institute of Tsinghua University in Shenzhen, Shenzhen, China","School of Electronics and Information Engineering, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of EDA, Research Institute of Tsinghua University in Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462053","display_name":"Liangliang Wang","orcid":"https://orcid.org/0000-0003-0389-3281"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangliang Wang","raw_affiliation_strings":["School of Electronics and Information Engineering, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069935634","display_name":"Xuming Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuming Lu","raw_affiliation_strings":["School of Electronics and Information Engineering, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4218,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88810449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9975000023841858,"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/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.6973451375961304},{"id":"https://openalex.org/keywords/precoding","display_name":"Precoding","score":0.6849579215049744},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6504446864128113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.614693284034729},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6071771383285522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5765933990478516},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5577208399772644},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5011446475982666},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.45405298471450806},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4198693037033081},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41933977603912354},{"id":"https://openalex.org/keywords/jacobi-method","display_name":"Jacobi method","score":0.4160049855709076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.378034770488739},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3222010135650635},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14615359902381897},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11780500411987305}],"concepts":[{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.6973451375961304},{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.6849579215049744},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6504446864128113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.614693284034729},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6071771383285522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5765933990478516},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5577208399772644},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5011446475982666},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.45405298471450806},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4198693037033081},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41933977603912354},{"id":"https://openalex.org/C67923128","wikidata":"https://www.wikidata.org/wiki/Q1481893","display_name":"Jacobi method","level":2,"score":0.4160049855709076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.378034770488739},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3222010135650635},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14615359902381897},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11780500411987305},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccchina.2016.7636727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccchina.2016.7636727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/CIC International Conference on Communications in China (ICCC)","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":10,"referenced_works":["https://openalex.org/W1546004968","https://openalex.org/W2018385545","https://openalex.org/W2028575156","https://openalex.org/W2052321444","https://openalex.org/W2081274544","https://openalex.org/W2294665748","https://openalex.org/W2588081979","https://openalex.org/W3099281970","https://openalex.org/W4210908479","https://openalex.org/W4299343067"],"related_works":["https://openalex.org/W2207919472","https://openalex.org/W2098528027","https://openalex.org/W2625259661","https://openalex.org/W2544771389","https://openalex.org/W2388344948","https://openalex.org/W2048444161","https://openalex.org/W3197592642","https://openalex.org/W1922626558","https://openalex.org/W2353411190","https://openalex.org/W3211590003"],"abstract_inverted_index":{"In":[0,75,107],"massive":[1],"multiple-input":[2],"multiple-output":[3],"(MIMO)":[4],"downlink":[5],"systems,":[6],"the":[7,11,21,26,31,35,54,94,101,110,124,167],"computational":[8,139],"complexity":[9,63,127,133,184],"of":[10,37],"matrix":[12,43],"inversion":[13,44],"for":[14,20,46,64,123],"precoding":[15],"is":[16,89,112],"becoming":[17],"a":[18,78,118],"bottleneck":[19],"system":[22,56],"implementation,":[23],"along":[24],"with":[25,137,152,174],"increased":[27],"antenna":[28],"dimension":[29],"at":[30],"base":[32],"station":[33],"and":[34,84,132,158,185],"number":[36],"served":[38],"users.":[39],"By":[40],"traditional":[41],"approximate":[42],"algorithms,":[45],"example,":[47],"series":[48],"expansion,":[49],"gradient":[50,82],"or":[51,68,169],"iteration":[52,87,148],"methods,":[53],"proper":[55],"performance":[57,173],"can":[58,143,165],"be":[59],"achieved":[60],"by":[61],"lower":[62,72,138,180],"each":[65],"recursive":[66],"expansion":[67],"iteration,":[69],"while":[70],"keeping":[71],"convergence":[73,95,176],"rate.":[74],"this":[76,108],"paper,":[77],"novel":[79],"joint":[80,155],"conjugate":[81],"(CG)":[83],"Jacobi":[85,159],"(JC)":[86],"method":[88,160],"proposed":[90,154],"to":[91,116],"speed":[92],"up":[93],"rate":[96,104],"as":[97,99],"well":[98],"guaranteeing":[100],"bit":[102],"error":[103],"(BER)":[105],"performance.":[106],"proposal,":[109],"CG":[111],"firstly":[113],"used":[114],"twice":[115],"find":[117],"more":[119],"accurate":[120],"searching":[121],"direction":[122],"following":[125],"low":[126],"JC":[128],"iterations.":[129],"Numerical":[130],"simulations":[131],"analysis":[134],"show":[135],"that,":[136],"complexity,":[140],"our":[141,163],"proposal":[142,164],"obviously":[144],"outperform":[145],"previous":[146],"nonjoint":[147],"methods.":[149],"Even":[150],"compared":[151],"recently":[153],"steepest":[156],"descent":[157],"in":[161],"[7],":[162],"obtain":[166],"similar":[168],"even":[170],"better":[171],"BER":[172],"faster":[175],"rate,":[177],"which":[178],"indicates":[179],"total":[181],"hardware":[182],"implementation":[183],"latency.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}