{"id":"https://openalex.org/W2132748176","doi":"https://doi.org/10.1109/pimrc.2007.4394086","title":"Implementation-Friendly QRM-MLD using Trellis-Structure based on Viterbi Algorithm","display_name":"Implementation-Friendly QRM-MLD using Trellis-Structure based on Viterbi Algorithm","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2132748176","doi":"https://doi.org/10.1109/pimrc.2007.4394086","mag":"2132748176"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2007.4394086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2007.4394086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications","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/A5101978302","display_name":"Sang-Ho Choi","orcid":"https://orcid.org/0000-0003-2481-938X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Ho Choi","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea","Korea University [Seoul]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea University [Seoul]","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087836855","display_name":"Young\u2010Chai Ko","orcid":"https://orcid.org/0000-0003-1043-9028"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Chai Ko","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea","Korea University [Seoul]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea University [Seoul]","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10125","display_name":"Advanced Wireless Communication Techniques","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/T10125","display_name":"Advanced Wireless Communication Techniques","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/T11873","display_name":"PAPR reduction in OFDM","score":0.9973999857902527,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9957000017166138,"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/trellis","display_name":"Trellis (graph)","score":0.9056740999221802},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.6614587306976318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6532152891159058},{"id":"https://openalex.org/keywords/qr-decomposition","display_name":"QR decomposition","score":0.6457761526107788},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.638888955116272},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6034508347511292},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.570884644985199},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.5599854588508606},{"id":"https://openalex.org/keywords/viterbi-decoder","display_name":"Viterbi decoder","score":0.5506519675254822},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5351980924606323},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5194836854934692},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4797464609146118},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.252132773399353},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.19849956035614014},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.17278876900672913}],"concepts":[{"id":"https://openalex.org/C2781235587","wikidata":"https://www.wikidata.org/wiki/Q7838009","display_name":"Trellis (graph)","level":3,"score":0.9056740999221802},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.6614587306976318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6532152891159058},{"id":"https://openalex.org/C188060507","wikidata":"https://www.wikidata.org/wiki/Q653242","display_name":"QR decomposition","level":3,"score":0.6457761526107788},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.638888955116272},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6034508347511292},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.570884644985199},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.5599854588508606},{"id":"https://openalex.org/C117379686","wikidata":"https://www.wikidata.org/wiki/Q6996459","display_name":"Viterbi decoder","level":3,"score":0.5506519675254822},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5351980924606323},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5194836854934692},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4797464609146118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.252132773399353},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.19849956035614014},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.17278876900672913},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2007.4394086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2007.4394086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications","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":13,"referenced_works":["https://openalex.org/W1598341975","https://openalex.org/W1854227011","https://openalex.org/W2058968630","https://openalex.org/W2097780353","https://openalex.org/W2100700755","https://openalex.org/W2107085700","https://openalex.org/W2116690122","https://openalex.org/W2130509920","https://openalex.org/W2152797116","https://openalex.org/W2162273329","https://openalex.org/W2171079810","https://openalex.org/W4235295823","https://openalex.org/W6677847518"],"related_works":["https://openalex.org/W2102309991","https://openalex.org/W1795315578","https://openalex.org/W2373954783","https://openalex.org/W2133857928","https://openalex.org/W2101868111","https://openalex.org/W2110622634","https://openalex.org/W2146383045","https://openalex.org/W1578429744","https://openalex.org/W2241520515","https://openalex.org/W2159960841"],"abstract_inverted_index":{"The":[0],"maximum":[1,33],"likelihood":[2,34],"detection":[3,21,37],"with":[4,40,129],"QR":[5],"decomposition":[6],"and":[7,51,98,100],"M-algorithm":[8],"(QRM-MLD)":[9],"has":[10,66],"been":[11],"presented":[12],"as":[13,30],"a":[14],"sub-":[15],"optimum":[16,32],"multiple":[17],"input-multiple":[18],"output":[19],"(MIMO)":[20],"scheme":[22,38,152],"which":[23,61],"can":[24,134],"provide":[25],"almost":[26],"the":[27,31,41,47,52,55,58,63,71,83,103,107,111,114,127,136,141,146],"same":[28],"performance":[29,147],"(ML)":[35],"MIMO":[36],"but":[39],"reduced":[42],"complexity.":[43],"However,":[44],"due":[45],"to":[46,93,106,109,140],"lack":[48],"of":[49,86,113,149],"parallelism":[50,97],"regularity":[53,99],"in":[54,91],"decoding":[56],"structure,":[57],"conventional":[59,87],"QRM-MLD":[60,88,108,128,144],"uses":[62],"tree-structure":[64,142],"still":[65],"very":[67,72],"high":[68,95],"complexity":[69,137],"for":[70],"large":[73],"scale":[74],"integration":[75],"(VLSI)":[76],"implementation.":[77,116],"In":[78],"this":[79],"paper,":[80],"we":[81,133],"modify":[82],"tree-":[84],"structure":[85],"into":[89],"trellis-structure":[90],"order":[92],"obtain":[94],"operational":[96],"then":[101],"apply":[102],"Viterbi":[104],"algorithm":[105],"ease":[110],"burden":[112],"VLSI":[115],"We":[117],"show":[118],"from":[119],"our":[120,130,150],"selected":[121],"numerical":[122],"examples":[123],"that,":[124],"by":[125],"using":[126],"proposed":[131,151],"trellis-structure,":[132],"reduce":[135],"significantly":[138],"comparing":[139],"based":[143],"while":[145],"degradation":[148],"is":[153],"negligible.":[154]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}