{"id":"https://openalex.org/W2004715124","doi":"https://doi.org/10.1109/icc.2012.6363646","title":"A density evolution based framework for dirty paper code design using TCQ and multilevel LDPC codes","display_name":"A density evolution based framework for dirty paper code design using TCQ and multilevel LDPC codes","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2004715124","doi":"https://doi.org/10.1109/icc.2012.6363646","mag":"2004715124"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2012.6363646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2012.6363646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Communications (ICC)","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/A5100397725","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0003-0608-9408"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Department of ECE, Texas A and M University, USA","Dept of ECE, Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Texas A and M University, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Dept of ECE, Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058154161","display_name":"Zixiang Xiong","orcid":"https://orcid.org/0000-0002-4714-3311"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zixiang Xiong","raw_affiliation_strings":["Department of ECE, Texas A and M University, USA","Dept of ECE, Texas A&M University"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Texas A and M University, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Dept of ECE, Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040677667","display_name":"Yu-Chun Wu","orcid":"https://orcid.org/0000-0002-8997-3030"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Yu-chun","raw_affiliation_strings":["Huawei Hisi Advance Research Department, China"],"affiliations":[{"raw_affiliation_string":"Huawei Hisi Advance Research Department, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069730737","display_name":"Philipp Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Philipp Zhang","raw_affiliation_strings":["Huawei Hisi Advance Research Department, China"],"affiliations":[{"raw_affiliation_string":"Huawei Hisi Advance Research Department, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100397725"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.7092,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71262538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"2596","last_page":"2600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9973000288009644,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9972000122070312,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.7921966910362244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6936122179031372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5588040947914124},{"id":"https://openalex.org/keywords/noisy-channel-coding-theorem","display_name":"Noisy-channel coding theorem","score":0.5495429039001465},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5437925457954407},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4749348759651184},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4487145245075226},{"id":"https://openalex.org/keywords/trellis","display_name":"Trellis (graph)","score":0.42196744680404663},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41788798570632935},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4118771553039551},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.41184112429618835},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.40521565079689026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37919047474861145},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0840006172657013}],"concepts":[{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.7921966910362244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6936122179031372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5588040947914124},{"id":"https://openalex.org/C103073706","wikidata":"https://www.wikidata.org/wiki/Q2345282","display_name":"Noisy-channel coding theorem","level":5,"score":0.5495429039001465},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5437925457954407},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4749348759651184},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4487145245075226},{"id":"https://openalex.org/C2781235587","wikidata":"https://www.wikidata.org/wiki/Q7838009","display_name":"Trellis (graph)","level":3,"score":0.42196744680404663},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41788798570632935},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4118771553039551},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.41184112429618835},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.40521565079689026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37919047474861145},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0840006172657013},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C46462455","wikidata":"https://www.wikidata.org/wiki/Q5395712","display_name":"Error floor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2012.6363646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2012.6363646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1976109068","https://openalex.org/W2008432842","https://openalex.org/W2030546921","https://openalex.org/W2081297420","https://openalex.org/W2092497680","https://openalex.org/W2096480392","https://openalex.org/W2099112104","https://openalex.org/W2100613504","https://openalex.org/W2101348158","https://openalex.org/W2109870918","https://openalex.org/W2114468914","https://openalex.org/W2124890704","https://openalex.org/W2130285260","https://openalex.org/W2133882791","https://openalex.org/W2136093293","https://openalex.org/W2137626909","https://openalex.org/W2139490206","https://openalex.org/W2143664144","https://openalex.org/W2154890510","https://openalex.org/W2155113587","https://openalex.org/W2562965985","https://openalex.org/W3169111758","https://openalex.org/W6629343882","https://openalex.org/W6673779382","https://openalex.org/W6796564892"],"related_works":["https://openalex.org/W2097094638","https://openalex.org/W2380299087","https://openalex.org/W2371199185","https://openalex.org/W2084088975","https://openalex.org/W2103435488","https://openalex.org/W2806845321","https://openalex.org/W2370273320","https://openalex.org/W2159312107","https://openalex.org/W3009741155","https://openalex.org/W2377780150"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,78,132,161],"density":[3,48,69],"evolution":[4,49,52,70],"based":[5,25],"dirty-paper":[6,111],"code":[7],"design":[8,23,55],"framework":[9,34],"that":[10,102],"combines":[11],"trellis":[12],"coded":[13],"quantization":[14],"with":[15,174],"multi-level":[16],"low-density":[17],"parity-check":[18],"(LDPC)":[19],"codes.":[20],"Unlike":[21],"existing":[22],"techniques":[24],"on":[26],"Gaussian":[27],"approximation":[28],"and":[29,46,50,90,146],"EXIT":[30],"charts,":[31],"the":[32,36,63,74,84,110,115,123,127,137,143,166],"proposed":[33,116],"tracks":[35],"empirically":[37],"collected":[38],"log-likelihood":[39],"ratio":[40],"(LLR)":[41],"distributions":[42,66],"at":[43,103,142],"each":[44,56,97],"iteration,":[45],"employs":[47],"differential":[51],"algorithms":[53],"to":[54,71,83,86,136,160,165],"LDPC":[57],"component":[58],"code.":[59],"In":[60],"order":[61],"for":[62],"approximated":[64],"LLR":[65,76],"obtained":[67],"using":[68,114],"better":[72],"match":[73],"true":[75],"distributions,":[77],"novel":[79],"decorrelator":[80],"is":[81],"added":[82],"decoder":[85],"make":[87],"channel":[88],"LLRs":[89,93],"check":[91],"node":[92],"almost":[94],"independent":[95],"of":[96,122],"other.":[98],"Simulation":[99],"results":[100],"show":[101],"1":[104],"bit":[105],"per":[106],"sample":[107],"transmission":[108],"rate,":[109],"codes":[112],"designed":[113],"method":[117],"operate":[118],"within":[119],"0.53":[120],"dB":[121,134,141,158,163],"theoretical":[124],"limit,":[125],"reducing":[126],"best":[128],"known":[129],"result":[130],"(with":[131],"0.58":[133],"gap":[135,164],"limit)":[138,167],"by":[139],"0.05":[140],"same":[144],"complexity":[145,172],"block":[147,176],"length,":[148],"while":[149],"this":[150],"improvement":[151],"can":[152],"be":[153],"as":[154,156],"large":[155],"0.21":[157],"(corresponding":[159],"0.37":[162],"when":[168],"we":[169],"use":[170],"higher":[171],"encoder/decoder":[173],"longer":[175],"length.":[177]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}