{"id":"https://openalex.org/W4402835203","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683530","title":"On Reducing the Search Complexity for PMI Selection in Codebook-Based 5G NR Systems","display_name":"On Reducing the Search Complexity for PMI Selection in Codebook-Based 5G NR Systems","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4402835203","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683530"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-spring62846.2024.10683530","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-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/A5093461025","display_name":"A Harivignesh","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Harivignesh A","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099981029","display_name":"Arunesh Anbukani","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arunesh Anbukani","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035200623","display_name":"K. Giridhar","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Giridhar","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093461025"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.3383,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64018825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9311000108718872,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9117000102996826,"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/codebook","display_name":"Codebook","score":0.9277083873748779},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.693976640701294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6200484037399292},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4297649562358856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3041672110557556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28236138820648193}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9277083873748779},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.693976640701294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6200484037399292},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4297649562358856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3041672110557556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28236138820648193}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-spring62846.2024.10683530","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","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":9,"referenced_works":["https://openalex.org/W1984919799","https://openalex.org/W1996137278","https://openalex.org/W2107727024","https://openalex.org/W2136591193","https://openalex.org/W2571733760","https://openalex.org/W2970395731","https://openalex.org/W2999624673","https://openalex.org/W4313004422","https://openalex.org/W4388426797"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2293149949","https://openalex.org/W2026099691","https://openalex.org/W4284672201","https://openalex.org/W2377486419","https://openalex.org/W2943202426","https://openalex.org/W2736714427","https://openalex.org/W2133008004","https://openalex.org/W2011867735"],"abstract_inverted_index":{"To":[0],"obviate":[1],"the":[2,32,38,43,47,53,64,73,77,92,95,108,112,118,121,126,148,158,165,172,187,191,200,204],"need":[3],"for":[4,42],"full":[5],"Channel":[6],"State":[7],"Information":[8],"(CSI)":[9],"feedback":[10,27,62],"in":[11,72],"a":[12,101,139],"Downlink":[13],"(DL)":[14],"Multiple":[15,17],"Input":[16],"Output":[18],"(MIMO),":[19],"5G":[20],"New":[21],"Radio":[22],"(5GNR)":[23],"employs":[24],"codebook-based":[25],"limited":[26],"techniques.":[28],"These":[29],"techniques":[30],"require":[31],"User":[33],"Equipment":[34],"(UE)":[35],"to":[36,63,75,124,136,177],"choose":[37],"best":[39,78],"possible":[40,79,89],"precoder":[41],"downlink":[44],"transmission":[45],"from":[46],"set":[48],"of":[49,91,111,129,147,174],"codebook":[50,93,113,149,175],"entries,":[51],"and":[52,157,183],"corresponding":[54],"Precoding":[55],"Matrix":[56],"Indicator":[57],"(PMI)":[58],"is":[59,94,133,150,161,180],"sent":[60],"as":[61,203],"Base":[65],"Station.":[66],"Various":[67],"methods":[68],"have":[69],"been":[70],"proposed":[71,170,188],"literature":[74],"select":[76],"PMI.":[80],"The":[81,145],"Exhaustive":[82],"Search":[83],"(ES)":[84],"method":[85,105,171],"that":[86,106,186],"examines":[87],"all":[88],"entries":[90,176],"conventional":[96,205],"method.":[97],"Our":[98],"paper":[99],"presents":[100],"low-complexity":[102],"PMI":[103,137,160],"selection":[104],"leverages":[107],"spatial":[109],"characteristics":[110],"entries.":[114],"In":[115],"this":[116,154,169],"method,":[117],"UE":[119],"approximates":[120],"transmit":[122],"beam":[123],"estimate":[125,156],"coarse":[127,155],"Angle":[128],"Departure":[130],"(AOD),":[131],"which":[132],"then":[134,151],"mapped":[135],"using":[138,153],"novel":[140],"PMI-to-angle":[141],"mapping":[142],"lookup":[143],"table.":[144],"size":[146],"reduced":[152,166],"final":[159],"obtained":[162],"by":[163,194],"searching":[164],"codebook.":[167],"Through":[168],"number":[173],"be":[178],"searched":[179],"significantly":[181],"reduced,":[182],"simulations":[184],"demonstrate":[185],"algorithm":[189],"reduces":[190],"search":[192,207],"complexity":[193],"about":[195],"94%,":[196],"even":[197],"while":[198],"maintaining":[199],"same":[201],"performance":[202],"exhaustive":[206],"scheme.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}