{"id":"https://openalex.org/W3015843747","doi":"https://doi.org/10.1109/icassp40776.2020.9054691","title":"Proximal Distance Algorithm for Nonconvex QCQP with Beamforming Applications","display_name":"Proximal Distance Algorithm for Nonconvex QCQP with Beamforming Applications","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015843747","doi":"https://doi.org/10.1109/icassp40776.2020.9054691","mag":"3015843747"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100429879","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0001-5609-3320"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Li","raw_affiliation_strings":["School of Info & Comm. Eng., University of Electronic Science and Technology of China, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Info & Comm. Eng., University of Electronic Science and Technology of China, P. R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026572232","display_name":"Yatao Liu","orcid":"https://orcid.org/0000-0002-6647-5768"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yatao Liu","raw_affiliation_strings":["Dept. of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025217534","display_name":"Mingjie Shao","orcid":"https://orcid.org/0000-0003-0659-5765"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie Shao","raw_affiliation_strings":["Dept. of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016986549","display_name":"Wing\u2010Kin Ma","orcid":"https://orcid.org/0000-0001-7314-3537"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wing-Kin Ma","raw_affiliation_strings":["Dept. of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100429879"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.5282,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.58890259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5155","last_page":"5159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9983000159263611,"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":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quadratically-constrained-quadratic-program","display_name":"Quadratically constrained quadratic program","score":0.6114030480384827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5868583917617798},{"id":"https://openalex.org/keywords/quadratic-growth","display_name":"Quadratic growth","score":0.5763687491416931},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.542588472366333},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5386123657226562},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.529848575592041},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5196532011032104},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5025455951690674},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.46070754528045654},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44476258754730225},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.43565860390663147},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.42213958501815796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34646615386009216},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.280042827129364},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08642783761024475},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07808437943458557}],"concepts":[{"id":"https://openalex.org/C65148998","wikidata":"https://www.wikidata.org/wiki/Q7268373","display_name":"Quadratically constrained quadratic program","level":3,"score":0.6114030480384827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5868583917617798},{"id":"https://openalex.org/C195956108","wikidata":"https://www.wikidata.org/wiki/Q7268362","display_name":"Quadratic growth","level":2,"score":0.5763687491416931},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.542588472366333},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5386123657226562},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.529848575592041},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5196532011032104},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5025455951690674},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.46070754528045654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44476258754730225},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.43565860390663147},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.42213958501815796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34646615386009216},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.280042827129364},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08642783761024475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07808437943458557},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W969362566","https://openalex.org/W1981044874","https://openalex.org/W1991264581","https://openalex.org/W1996215314","https://openalex.org/W2005102197","https://openalex.org/W2031823405","https://openalex.org/W2050622933","https://openalex.org/W2061626026","https://openalex.org/W2074166063","https://openalex.org/W2100573451","https://openalex.org/W2108927308","https://openalex.org/W2122744491","https://openalex.org/W2145486800","https://openalex.org/W2151268585","https://openalex.org/W2236834722","https://openalex.org/W2288512070","https://openalex.org/W2295566694","https://openalex.org/W2402283551","https://openalex.org/W2963842279","https://openalex.org/W3100992968","https://openalex.org/W6625394658","https://openalex.org/W6703754205"],"related_works":["https://openalex.org/W2897697015","https://openalex.org/W3035921962","https://openalex.org/W2169350232","https://openalex.org/W2004392729","https://openalex.org/W2951903936","https://openalex.org/W2566013347","https://openalex.org/W4293088966","https://openalex.org/W2288577150","https://openalex.org/W1878408459","https://openalex.org/W4297407962"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"nonconvex":[3],"quadratically":[4],"constrained":[5],"quadratic":[6],"program":[7],"(QCQP),":[8],"which":[9,114],"is":[10,108],"known":[11],"to":[12,27,43,57,95,126],"be":[13],"NP-hard":[14],"in":[15,148,160],"general.":[16],"In":[17,83],"the":[18,29,39,60,73,96,99,109,116,119,135,138,144,155],"past":[19],"decades,":[20],"various":[21],"approximate":[22],"approaches":[23,49],"have":[24,56],"been":[25],"developed":[26],"tackle":[28],"QCQP,":[30],"including":[31],"semidefinite":[32],"relaxation":[33],"(SDR),":[34],"successive":[35],"convex":[36],"approximation":[37],"(SCA),":[38],"variable":[40,61],"splitting":[41],"approach,":[42],"name":[44],"a":[45,65,79,164],"few.":[46],"While":[47],"these":[48],"are":[50],"effective":[51],"under":[52],"some":[53],"circumstances,":[54],"they":[55],"either":[58],"lift":[59],"dimension":[62],"or":[63,76],"require":[64],"feasible":[66,80],"starting":[67,81],"point,":[68],"thereby":[69],"not":[70],"suitable":[71],"for":[72],"large-scale":[74],"QCQP":[75,97],"lack":[77],"of":[78,85,105,118,137,162],"point.":[82],"light":[84],"this,":[86],"this":[87],"work":[88],"aims":[89],"at":[90],"developing":[91],"an":[92,128],"efficient":[93,129],"approach":[94,107],"without":[98],"above":[100],"mentioned":[101],"drawbacks.":[102],"The":[103],"crux":[104],"our":[106],"proximal":[110],"distance":[111],"algorithm":[112],"(PDA),":[113],"merges":[115],"idea":[117],"penalty":[120],"method":[121],"and":[122],"majorization":[123],"minimization":[124],"(MM)":[125],"provide":[127],"(closed-form)":[130],"iterative":[131],"algorithm.":[132],"To":[133],"demonstrate":[134],"effectiveness":[136],"PDA,":[139],"we":[140],"test":[141],"it":[142],"on":[143],"multicast":[145],"beamforming":[146],"applications":[147],"wireless":[149],"communications.":[150],"Simulation":[151],"results":[152],"show":[153],"that":[154],"PDA":[156],"outperforms":[157],"state-of-the-art":[158],"algorithms":[159],"terms":[161],"delivering":[163],"better":[165],"solution":[166],"with":[167],"much":[168],"less":[169],"running":[170],"time.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
