A Density Evolution Based Framework for Dirty-Paper Code Design Using TCQ and Multilevel LDPC Codes
We propose a density evolution based dirty-paper code design framework that combines trellis coded quantization with multi-level low-density parity-check (LDPC) codes. Unlike existing design techniques based on Gaussian approximation and EXIT charts, the proposed framework tracks the empirically col...
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| Veröffentlicht in: | IEEE communications letters 2012-10, Vol.16 (10), p.1544-1547 |
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| container_title | IEEE communications letters |
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| creator | Yang Yang Zixiang Xiong Wu Yu-chun Zhang, P. |
| description | We propose a density evolution based dirty-paper code design framework that combines trellis coded quantization with multi-level low-density parity-check (LDPC) codes. Unlike existing design techniques based on Gaussian approximation and EXIT charts, the proposed framework tracks the empirically collected log-likelihood ratio (LLR) distributions at each iteration, and employs density evolution and differential evolution algorithms to design each LDPC component code. The performance of the dirty-paper codes designed using the proposed method comes within 0.37 dB of the theoretical limit at 1 bit per sample transmission rate, achieving an 0.21 dB gain over the best known result. |
| doi_str_mv | 10.1109/LCOMM.2012.082012.120943 |
| format | Article |
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Unlike existing design techniques based on Gaussian approximation and EXIT charts, the proposed framework tracks the empirically collected log-likelihood ratio (LLR) distributions at each iteration, and employs density evolution and differential evolution algorithms to design each LDPC component code. The performance of the dirty-paper codes designed using the proposed method comes within 0.37 dB of the theoretical limit at 1 bit per sample transmission rate, achieving an 0.21 dB gain over the best known result.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2012.082012.120943</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Approximation ; Bit error rate ; Coding, codes ; Decoding ; Decorrelation ; Density ; Dirty-paper coding ; Encoding ; Evolution ; Exact sciences and technology ; Gain ; Gaussian ; Information, signal and communications theory ; log-likelihood ratio ; low-density parity-check codes ; Mathematical analysis ; Multilevel ; multilevel coding ; Noise levels ; Parity check codes ; Quantization ; Signal and communications theory ; Signal to noise ratio ; Telecommunications and information theory ; trellis-coded quantization</subject><ispartof>IEEE communications letters, 2012-10, Vol.16 (10), p.1544-1547</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Oct 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c370t-cfecabec9302e8f8d4dea63c3737a480ffed535ebd0cd331cf9cd4d6a946deef3</citedby><cites>FETCH-LOGICAL-c370t-cfecabec9302e8f8d4dea63c3737a480ffed535ebd0cd331cf9cd4d6a946deef3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6287514$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6287514$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26544775$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang Yang</creatorcontrib><creatorcontrib>Zixiang Xiong</creatorcontrib><creatorcontrib>Wu Yu-chun</creatorcontrib><creatorcontrib>Zhang, P.</creatorcontrib><title>A Density Evolution Based Framework for Dirty-Paper Code Design Using TCQ and Multilevel LDPC Codes</title><title>IEEE communications letters</title><addtitle>COML</addtitle><description>We propose a density evolution based dirty-paper code design framework that combines trellis coded quantization with multi-level low-density parity-check (LDPC) codes. Unlike existing design techniques based on Gaussian approximation and EXIT charts, the proposed framework tracks the empirically collected log-likelihood ratio (LLR) distributions at each iteration, and employs density evolution and differential evolution algorithms to design each LDPC component code. The performance of the dirty-paper codes designed using the proposed method comes within 0.37 dB of the theoretical limit at 1 bit per sample transmission rate, achieving an 0.21 dB gain over the best known result.</description><subject>Applied sciences</subject><subject>Approximation</subject><subject>Bit error rate</subject><subject>Coding, codes</subject><subject>Decoding</subject><subject>Decorrelation</subject><subject>Density</subject><subject>Dirty-paper coding</subject><subject>Encoding</subject><subject>Evolution</subject><subject>Exact sciences and technology</subject><subject>Gain</subject><subject>Gaussian</subject><subject>Information, signal and communications theory</subject><subject>log-likelihood ratio</subject><subject>low-density parity-check codes</subject><subject>Mathematical analysis</subject><subject>Multilevel</subject><subject>multilevel coding</subject><subject>Noise levels</subject><subject>Parity check codes</subject><subject>Quantization</subject><subject>Signal and communications theory</subject><subject>Signal to noise ratio</subject><subject>Telecommunications and information theory</subject><subject>trellis-coded quantization</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1LxDAQhoso-PkLvARE8NI1H02bHrXrqrDLKug5xGQi0W6zJq2y_964FQ9eMoF53pnhyTJE8IQQXF_Om-ViMaGY0AkW20Iorgu2kx0QzkVO07Ob_ljUeVXVYj87jPEN4wRzcpDpKzSFLrp-g24-fTv0znfoWkUwaBbUCr58eEfWBzR1od_kD2oNATXeQIpF99qh5-i6V_TUPCLVGbQY2t618Aktmk8fmi0Zj7M9q9oIJ7_1KHue3Tw1d_l8eXvfXM1zzSrc59qCVi-ga4YpCCtMYUCVLDVZpQqBrQXDGYcXg7VhjGhb68SUqi5KA2DZUXYxzl0H_zFA7OXKRQ1tqzrwQ5SEUiJEKVid0LN_6JsfQpeuk4QQJgrBK5EoMVI6-BgDWLkObqXCRhIsf-zLrX35o12O9uVoP0XPfxeoqFVrg-q0i395WvKiqCqeuNORcwDw1y6pqDgp2DfnF44v</recordid><startdate>20121001</startdate><enddate>20121001</enddate><creator>Yang Yang</creator><creator>Zixiang Xiong</creator><creator>Wu Yu-chun</creator><creator>Zhang, P.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Unlike existing design techniques based on Gaussian approximation and EXIT charts, the proposed framework tracks the empirically collected log-likelihood ratio (LLR) distributions at each iteration, and employs density evolution and differential evolution algorithms to design each LDPC component code. The performance of the dirty-paper codes designed using the proposed method comes within 0.37 dB of the theoretical limit at 1 bit per sample transmission rate, achieving an 0.21 dB gain over the best known result.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/LCOMM.2012.082012.120943</doi><tpages>4</tpages></addata></record> |
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| issn | 1089-7798 1558-2558 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Approximation Bit error rate Coding, codes Decoding Decorrelation Density Dirty-paper coding Encoding Evolution Exact sciences and technology Gain Gaussian Information, signal and communications theory log-likelihood ratio low-density parity-check codes Mathematical analysis Multilevel multilevel coding Noise levels Parity check codes Quantization Signal and communications theory Signal to noise ratio Telecommunications and information theory trellis-coded quantization |
| title | A Density Evolution Based Framework for Dirty-Paper Code Design Using TCQ and Multilevel LDPC Codes |
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