{"id":"https://openalex.org/W2786124717","doi":"https://doi.org/10.1109/icecs.2017.8292120","title":"Efficient polynomial regression algorithm for LTE turbo decoding","display_name":"Efficient polynomial regression algorithm for LTE turbo decoding","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786124717","doi":"https://doi.org/10.1109/icecs.2017.8292120","mag":"2786124717"},"language":"en","primary_location":{"id":"doi:10.1109/icecs.2017.8292120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2017.8292120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5041954067","display_name":"Mostafa A. Foda","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mostafa A. Foda","raw_affiliation_strings":["Integrated Electronic Systems Lab, TU Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Integrated Electronic Systems Lab, TU Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039330377","display_name":"Mohamed A. Abd El Ghany","orcid":"https://orcid.org/0000-0002-6282-7738"},"institutions":[{"id":"https://openalex.org/I96823368","display_name":"German University in Cairo","ror":"https://ror.org/03rjt0z37","country_code":"EG","type":"education","lineage":["https://openalex.org/I96823368"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed A. Abd El Ghany","raw_affiliation_strings":["Electronics Department, German University in Cairo, Cairo, EG"],"affiliations":[{"raw_affiliation_string":"Electronics Department, German University in Cairo, Cairo, EG","institution_ids":["https://openalex.org/I96823368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035091224","display_name":"Klaus Hoffman","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Hoffman","raw_affiliation_strings":["Integrated Electronic Systems Lab, TU Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Integrated Electronic Systems Lab, TU Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041954067"],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19275332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"246","last_page":"269"},"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.9975000023841858,"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/algorithm","display_name":"Algorithm","score":0.6846195459365845},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.6454979181289673},{"id":"https://openalex.org/keywords/taylor-series","display_name":"Taylor series","score":0.6387690305709839},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.6248860955238342},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5725589394569397},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.51255202293396},{"id":"https://openalex.org/keywords/turbo-equalizer","display_name":"Turbo equalizer","score":0.5030338168144226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4760734438896179},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.459606409072876},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44629958271980286},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4320474863052368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41179654002189636},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.26952534914016724},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.14954262971878052},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14652186632156372},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.09113815426826477}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6846195459365845},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.6454979181289673},{"id":"https://openalex.org/C158946198","wikidata":"https://www.wikidata.org/wiki/Q131187","display_name":"Taylor series","level":2,"score":0.6387690305709839},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.6248860955238342},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5725589394569397},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.51255202293396},{"id":"https://openalex.org/C12232224","wikidata":"https://www.wikidata.org/wiki/Q7853840","display_name":"Turbo equalizer","level":5,"score":0.5030338168144226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4760734438896179},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.459606409072876},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44629958271980286},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4320474863052368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41179654002189636},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.26952534914016724},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.14954262971878052},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14652186632156372},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.09113815426826477},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs.2017.8292120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2017.8292120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1239024996","https://openalex.org/W1499441457","https://openalex.org/W1545378157","https://openalex.org/W1562979145","https://openalex.org/W1982421413","https://openalex.org/W2041488292","https://openalex.org/W2106509114","https://openalex.org/W2124478913","https://openalex.org/W2126519187","https://openalex.org/W2141619954","https://openalex.org/W2147344528","https://openalex.org/W2149724521","https://openalex.org/W2171815061","https://openalex.org/W2334186555","https://openalex.org/W3152750074","https://openalex.org/W6681859083","https://openalex.org/W6703005339"],"related_works":["https://openalex.org/W2111465178","https://openalex.org/W1925052465","https://openalex.org/W2103764150","https://openalex.org/W2161351338","https://openalex.org/W1523706612","https://openalex.org/W1513231729","https://openalex.org/W2170762214","https://openalex.org/W2031266772","https://openalex.org/W4287740435","https://openalex.org/W2148473002"],"abstract_inverted_index":{"In":[0,102],"this":[1,46,52],"paper,":[2],"an":[3,71,199],"efficient":[4,159],"turbo":[5,26,60],"decoding":[6,27,61],"technique":[7],"is":[8,39,54,68,112,217],"proposed":[9,104,158,196],"based":[10,98],"on":[11,99],"the":[12,29,57,64,81,86,90,94,103,106,109,115,123,138,153,157,172,181,195,206,221,227],"polynomial":[13,116,160,169,212],"regression":[14,117,161],"method.":[15],"The":[16,48,119],"most":[17,42,58],"known":[18],"Logarithmic":[19],"Maximum":[20],"A":[21,211],"Posteriori":[22],"(Log-MAP)":[23],"algorithms":[24],"for":[25,51],"in":[28,45,93],"Third":[30],"Generation":[31],"Partnership":[32],"Project":[33],"Long":[34],"Term":[35],"Evolution":[36],"(3GPP":[37],"LTE)":[38],"tested":[40],"against":[41],"recent":[43,87,207],"approaches":[44,88],"area.":[47],"main":[49],"reason":[50],"work":[53],"to":[55,80,137,152,205,220],"find":[56],"suitable":[59],"algorithm":[62,126,183,197],"where":[63],"logarithmic-domain":[65],"correction":[66],"function":[67,73,97,111],"replaced":[69],"with":[70,74,140,184],"approximation":[72,107],"less":[75,142],"complexity":[76,143,191,228],"and":[77,144,189,226,231],"close":[78],"performance":[79,134,174],"Log-MAP":[82,139,182],"algorithm.":[83,155,210],"One":[84],"of":[85,108,147,180,201,229],"replaces":[89],"logarithmic":[91,96,110],"term":[92],"Jacobian":[95],"Taylor":[100,124,208],"series.":[101],"approach,":[105],"performed":[113],"by":[114],"procedure.":[118],"results":[120,163],"show":[121,164],"that":[122,165,179],"series":[125,209],"achieved":[127],"a":[128,145,167,185],"satisfying":[129],"bit":[130],"error":[131],"rate":[132],"(BER)":[133],"when":[135,150],"compared":[136,151,204],"much":[141],"gain":[146],"0.38":[148],"dB":[149,187,203],"Max-Log-MAP":[154],"Moreover,":[156],"method":[162],"after":[166],"certain":[168],"degree":[170,213],"value":[171],"BER":[173,222],"can":[175],"be":[176],"better":[177],"than":[178],"0.01":[186],"difference":[188],"decreased":[190],"as":[192],"well.":[193],"Also,":[194],"shows":[198],"improvement":[200],"0.07":[202],"n":[214],"=":[215],"4":[216],"chosen":[218],"according":[219],"performance,":[223],"processing":[224],"time":[225],"additions":[230],"multiplications":[232],"procedures.":[233]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}