{"id":"https://openalex.org/W2769594184","doi":"https://doi.org/10.1109/vtcspring.2017.8108497","title":"A Sparse and Low-Rank Optimization Framework for Network Topology Control in Dense Fog-RAN","display_name":"A Sparse and Low-Rank Optimization Framework for Network Topology Control in Dense Fog-RAN","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2769594184","doi":"https://doi.org/10.1109/vtcspring.2017.8108497","mag":"2769594184"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2017.8108497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2017.8108497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 85th Vehicular Technology Conference (VTC Spring)","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/A5022499594","display_name":"Yuanming Shi","orcid":"https://orcid.org/0000-0002-1418-7465"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanming Shi","raw_affiliation_strings":["ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023551959","display_name":"Bamdev Mishra","orcid":"https://orcid.org/0000-0001-7430-2843"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bamdev Mishra","raw_affiliation_strings":["Core Machine Learning Team, Amazon.com, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Core Machine Learning Team, Amazon.com, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362330","display_name":"Xuan Liu","orcid":"https://orcid.org/0000-0002-7966-4488"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuan Liu","raw_affiliation_strings":["The University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344294","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0001-5090-9915"},"institutions":[{"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":"Wei Chen","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022499594"],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15502269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","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":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9973000288009644,"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/network-topology","display_name":"Network topology","score":0.6845171451568604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5854604244232178},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5330461263656616},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5269796848297119},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.4822007715702057},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.469783216714859},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.45758286118507385},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44942331314086914},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.43402644991874695},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4217297434806824},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4153795540332794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32337677478790283},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.2949185073375702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28582924604415894},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08324113488197327}],"concepts":[{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6845171451568604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5854604244232178},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5330461263656616},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5269796848297119},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.4822007715702057},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.469783216714859},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.45758286118507385},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44942331314086914},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.43402644991874695},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4217297434806824},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4153795540332794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32337677478790283},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.2949185073375702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28582924604415894},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08324113488197327},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2017.8108497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2017.8108497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 85th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1788288079","https://openalex.org/W1804110266","https://openalex.org/W1874281995","https://openalex.org/W1935743411","https://openalex.org/W1966060873","https://openalex.org/W1979408141","https://openalex.org/W2029523490","https://openalex.org/W2042182457","https://openalex.org/W2110355775","https://openalex.org/W2116837464","https://openalex.org/W2131750568","https://openalex.org/W2137775453","https://openalex.org/W2164616133","https://openalex.org/W2167623372","https://openalex.org/W2310614892","https://openalex.org/W2417107316","https://openalex.org/W2962719995","https://openalex.org/W4205293427","https://openalex.org/W4206519735","https://openalex.org/W6677708366","https://openalex.org/W6684641359"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W1494268238","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4294691692","https://openalex.org/W2912837894","https://openalex.org/W2789229307","https://openalex.org/W2557895864"],"abstract_inverted_index":{"In":[0,24],"this":[1,25],"paper,":[2],"we":[3,104],"propose":[4,105],"a":[5,106,122],"sparse":[6,71],"and":[7,72,88,102,151],"low-rank":[8,73],"optimization":[9,74,109],"approach":[10],"for":[11],"network":[12,22,58,161],"topology":[13],"control":[14],"in":[15,99,154,163],"the":[16,27,30,34,41,44,47,57,61,70,84,96,100,113,148,155,160],"partially":[17],"connected":[18,66],"fog":[19],"radio":[20],"access":[21],"(Fog-RAN).":[23],"model,":[26,157],"sparsity":[28,86,124,150],"of":[29,36,43,64,117],"modeling":[31],"matrix":[32,45,140],"represents":[33],"number":[35,63],"non-connected":[37],"interference":[38,67],"links,":[39],"while":[40],"rank":[42,92],"models":[46],"achievable":[48],"symmetric":[49],"degrees-of-freedom":[50],"(DoF)":[51],"allocations.":[52],"This":[53],"model":[54],"helps":[55],"find":[56],"topologies":[59],"with":[60,138],"maximum":[62],"allowed":[65],"links.":[68],"However,":[69],"problem":[75],"turns":[76],"out":[77],"to":[78,83],"be":[79],"highly":[80],"intractable":[81],"due":[82],"non-convex":[85],"objective":[87,101],"non-":[89],"convex":[90],"fixed-rank":[91,118],"constraint.":[93],"To":[94],"address":[95],"coupled":[97],"challenges":[98],"constraint,":[103],"smoothed":[107,123],"Riemannian":[108],"framework":[110],"by":[111,121],"exploiting":[112],"quotient":[114],"manifold":[115],"geometry":[116],"matrices,":[119],"followed":[120],"inducing":[125],"surrogate.":[126],"The":[127],"proposed":[128,156],"Rie-":[129],"mannian":[130],"algorithm":[131],"has":[132],"much":[133],"lower":[134],"computational":[135],"cost":[136],"compared":[137],"state-of-art":[139],"factorization":[141],"parameterized":[142],"methods.":[143],"Simulation":[144],"results":[145],"further":[146],"demonstrate":[147],"appealing":[149],"low-rankness":[152],"tradeoff":[153],"thereby":[158],"guiding":[159],"deployment":[162],"dense":[164],"Fog-RAN.":[165]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}