{"id":"https://openalex.org/W2187962423","doi":"https://doi.org/10.1109/pimrc.2015.7343424","title":"A fast and optimal deterministic algorithm for NP-Hard antenna selection problem","display_name":"A fast and optimal deterministic algorithm for NP-Hard antenna selection problem","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2187962423","doi":"https://doi.org/10.1109/pimrc.2015.7343424","mag":"2187962423"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2015.7343424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2015.7343424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","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/A5007374269","display_name":"Naveed Iqbal","orcid":"https://orcid.org/0000-0002-1373-8261"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Naveed Iqbal","raw_affiliation_strings":["Electronic Measurement Research Lab, Ilmenau University of Technology, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Electronic Measurement Research Lab, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006895257","display_name":"Christian Schneider","orcid":"https://orcid.org/0000-0003-1833-4562"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Schneider","raw_affiliation_strings":["Electronic Measurement Research Lab, Ilmenau University of Technology, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Electronic Measurement Research Lab, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059969592","display_name":"Reiner S. Thom\u00e4","orcid":"https://orcid.org/0000-0002-9254-814X"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reiner S. Thoma","raw_affiliation_strings":["Electronic Measurement Research Lab, Ilmenau University of Technology, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Electronic Measurement Research Lab, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007374269"],"corresponding_institution_ids":["https://openalex.org/I119449181"],"apc_list":null,"apc_paid":null,"fwci":0.3249,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61842105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"410","issue":null,"first_page":"895","last_page":"899"},"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":0.9987000226974487,"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":0.9976999759674072,"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/selection","display_name":"Selection (genetic algorithm)","score":0.7810301780700684},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.6475468277931213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6155693531036377},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6046779751777649},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.5555760264396667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5529754161834717},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5130252242088318},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4977438747882843},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4707377851009369},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.42544063925743103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42209166288375854},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.19971328973770142},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11258146166801453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10122457146644592}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7810301780700684},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.6475468277931213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6155693531036377},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6046779751777649},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.5555760264396667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5529754161834717},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5130252242088318},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4977438747882843},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4707377851009369},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.42544063925743103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42209166288375854},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.19971328973770142},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11258146166801453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10122457146644592},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2015.7343424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2015.7343424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1488435683","https://openalex.org/W1508642566","https://openalex.org/W1981745143","https://openalex.org/W2043894926","https://openalex.org/W2049003874","https://openalex.org/W2054245498","https://openalex.org/W2076410399","https://openalex.org/W2103491873","https://openalex.org/W2103972037","https://openalex.org/W2109792745","https://openalex.org/W2115573600","https://openalex.org/W2119233169","https://openalex.org/W2149527114","https://openalex.org/W2224872014","https://openalex.org/W2282053457","https://openalex.org/W2798909945","https://openalex.org/W4250515024","https://openalex.org/W6689101929","https://openalex.org/W6695590743"],"related_works":["https://openalex.org/W2002177687","https://openalex.org/W2058438338","https://openalex.org/W2019471580","https://openalex.org/W2941284322","https://openalex.org/W4224920876","https://openalex.org/W2068804400","https://openalex.org/W2382122833","https://openalex.org/W2081358063","https://openalex.org/W2110446343","https://openalex.org/W2379895469"],"abstract_inverted_index":{"Existing":[0],"fast":[1],"antenna":[2,29,63,119],"selection":[3,17,30,64,81,120],"algorithms":[4,65],"have":[5],"either":[6],"low":[7,113,133],"performance":[8],"gains":[9],"or":[10],"they":[11],"are":[12],"efficient":[13,45,124],"only":[14],"for":[15,46,131],"the":[16,25,52,62,73,76,80,86,92,110],"of":[18,27,51,61,75,82,85,112,127],"particular":[19],"size":[20],"sub-matrices.":[21],"Our":[22],"motivation":[23],"to":[24,37,108],"study":[26],"NP-Hard":[28],"problem":[31],"is":[32,43,95,122],"two-fold.":[33],"First,":[34],"we":[35],"intend":[36],"propose":[38],"an":[39],"optimal":[40],"algorithm":[41,70,130],"that":[42,126],"equally":[44],"each":[47,83],"possible":[48],"subset":[49],"cardinality":[50],"transmit":[53],"and/or":[54],"receive":[55],"antennas.":[56],"Second,":[57],"different":[58],"from":[59],"any":[60],"proposed":[66],"so":[67],"far,":[68],"our":[69,118],"deterministically":[71],"increases":[72],"strength":[74],"singular":[77,93],"values":[78,94],"during":[79],"column":[84],"selected":[87],"matrix.":[88],"This":[89,102],"increase":[90],"in":[91],"defined":[96],"by":[97],"a":[98,128],"very":[99],"tight":[100],"bound.":[101],"bound":[103],"has":[104],"previously":[105],"been":[106],"used":[107],"analyze":[109],"efficiency":[111],"rank":[114,134],"approximation":[115],"algorithms.":[116],"Hence,":[117],"procedure":[121],"as":[123,125],"best":[129],"matrix":[132],"approximations.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
