{"id":"https://openalex.org/W4389318135","doi":"https://doi.org/10.1109/lcomm.2023.3339252","title":"Achieving the Dirty Paper Channel Capacity With Scalar Lattices and Probabilistic Shaping","display_name":"Achieving the Dirty Paper Channel Capacity With Scalar Lattices and Probabilistic Shaping","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4389318135","doi":"https://doi.org/10.1109/lcomm.2023.3339252"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2023.3339252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2023.3339252","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-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/A5081850155","display_name":"M. Yusuf \u015eener","orcid":"https://orcid.org/0000-0002-8835-596X"},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Yusuf \u015eener","raw_affiliation_strings":["School of Computation, Information and Technology, Institute for Communications Engineering, Technical University of Munich, Munich, Germany","Munich Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8835-596X","affiliations":[{"raw_affiliation_string":"School of Computation, Information and Technology, Institute for Communications Engineering, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Munich Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078173609","display_name":"Ronald B\u00f6hnke","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ronald B\u00f6hnke","raw_affiliation_strings":["Munich Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5240-0212","affiliations":[{"raw_affiliation_string":"Munich Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071800383","display_name":"Wen Xu","orcid":"https://orcid.org/0000-0003-0142-5230"},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wen Xu","raw_affiliation_strings":["Munich Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0142-5230","affiliations":[{"raw_affiliation_string":"Munich Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047591578","display_name":"Gerhard Kramer","orcid":"https://orcid.org/0000-0002-3904-9181"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Kramer","raw_affiliation_strings":["School of Computation, Information and Technology, Institute for Communications Engineering, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3904-9181","affiliations":[{"raw_affiliation_string":"School of Computation, Information and Technology, Institute for Communications Engineering, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.8669,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77433388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"28","issue":"1","first_page":"29","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12162","display_name":"Cellular Automata and Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12029","display_name":"DNA and Biological Computing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.8506747484207153},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6202871799468994},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.547986626625061},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.507262647151947},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.5057754516601562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5051282048225403},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4975571930408478},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.4833204746246338},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4481351971626282},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.44584739208221436},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4333629012107849},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.43177229166030884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4214562475681305},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.41568899154663086},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4048086404800415},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2815737724304199},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14718320965766907},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1386324167251587}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.8506747484207153},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6202871799468994},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.547986626625061},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.507262647151947},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.5057754516601562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5051282048225403},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4975571930408478},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.4833204746246338},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4481351971626282},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.44584739208221436},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4333629012107849},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.43177229166030884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4214562475681305},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.41568899154663086},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4048086404800415},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2815737724304199},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14718320965766907},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1386324167251587},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lcomm.2023.3339252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2023.3339252","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1738603","is_oa":false,"landing_page_url":"https://mediatum.ub.tum.de/1738603","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2250313629","display_name":"Kognitive CloudKommunikationsnetze: Theorie und praktische Ans\u00e4tze","funder_award_id":"509917421","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522346752","https://openalex.org/W1955169834","https://openalex.org/W1965042169","https://openalex.org/W1976109068","https://openalex.org/W2001921622","https://openalex.org/W2030546921","https://openalex.org/W2090786588","https://openalex.org/W2101348158","https://openalex.org/W2106864314","https://openalex.org/W2109870918","https://openalex.org/W2130285260","https://openalex.org/W2136746829","https://openalex.org/W2139784773","https://openalex.org/W2143664144","https://openalex.org/W2155113587","https://openalex.org/W2158137498","https://openalex.org/W2162938069","https://openalex.org/W2175334662","https://openalex.org/W2261921850","https://openalex.org/W2758826218","https://openalex.org/W3169111758","https://openalex.org/W3200972993","https://openalex.org/W4205855417","https://openalex.org/W4237963784","https://openalex.org/W4300840296","https://openalex.org/W4315605969","https://openalex.org/W6680597225","https://openalex.org/W6744844560"],"related_works":["https://openalex.org/W1974392290","https://openalex.org/W3090071501","https://openalex.org/W2074565401","https://openalex.org/W2110952576","https://openalex.org/W1607924090","https://openalex.org/W2015705343","https://openalex.org/W2165991268","https://openalex.org/W2301162158","https://openalex.org/W4200289829","https://openalex.org/W2149295870"],"abstract_inverted_index":{"Reliable":[0],"communication":[1],"rates":[2,60],"are":[3,37],"derived":[4],"for":[5,58,64],"a":[6,40,62],"dirty":[7],"paper":[8],"coding":[9],"scheme":[10,18],"with":[11,32],"scalar":[12],"lattices":[13],"and":[14],"probabilistic":[15],"shaping.":[16,53],"The":[17],"is":[19],"shown":[20],"to":[21],"achieve":[22],"the":[23,43,47,59,74],"capacity":[24],"of":[25,42,50],"additive":[26,33],"white":[27],"Gaussian":[28],"noise":[29],"(AWGN)":[30],"channels":[31,67],"interference.":[34],"Rate":[35],"bounds":[36],"computed":[38],"as":[39],"function":[41],"block":[44],"length":[45],"under":[46],"simplifying":[48],"assumption":[49],"perfect":[51],"constellation":[52],"A":[54],"normal":[55],"approximation":[56],"(NA)":[57],"approaches":[61],"NA":[63],"standard":[65],"AWGN":[66],"at":[68,78],"high":[69],"signal-to-noise":[70],"ratio":[71],"(SNR),":[72],"but":[73],"interference":[75],"degrades":[76],"performance":[77],"low":[79],"SNR.":[80]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}