{"id":"https://openalex.org/W2294300537","doi":"https://doi.org/10.1109/isit.2016.7541782","title":"The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels","display_name":"The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2294300537","doi":"https://doi.org/10.1109/isit.2016.7541782","mag":"2294300537"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1512.06618","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046337437","display_name":"Jonathan Scarlett","orcid":"https://orcid.org/0000-0003-1403-9160"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Jonathan Scarlett","raw_affiliation_strings":["Laboratory for Information and Inference Systems, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","Laboratory for Information and Inference Systems, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland#TAB#"],"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Inference Systems, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":[]},{"raw_affiliation_string":"Laboratory for Information and Inference Systems, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland#TAB#","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058345431","display_name":"Vincent Y. F. Tan","orcid":"https://orcid.org/0000-0002-5008-4527"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vincent Y. F. Tan","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Department of Mathematics, National University of Singapore","Department of Electrical and Computer Engineering and the Department of MathematicsNational University of Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Department of Mathematics, National University of Singapore","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Department of MathematicsNational University of Singapore#TAB#","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045561406","display_name":"Giuseppe Durisi","orcid":"https://orcid.org/0000-0002-3941-4038"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]},{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["CH","SE"],"is_corresponding":false,"raw_author_name":"Giuseppe Durisi","raw_affiliation_strings":["Department of Signals and Systems, Chalmers University of Technology, Sweden","Dept of Signals and Systems Chalmers University of Technology Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, Chalmers University of Technology, Sweden","institution_ids":[]},{"raw_affiliation_string":"Dept of Signals and Systems Chalmers University of Technology Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046337437"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.00721938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"63","issue":"1","first_page":"2664","last_page":"2668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security 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/T10964","display_name":"Wireless Communication Security 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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9972000122070312,"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/T12162","display_name":"Cellular Automata and Applications","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.7001333236694336},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6550434231758118},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6015005111694336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5357123613357544},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.527109682559967},{"id":"https://openalex.org/keywords/gaussian-random-field","display_name":"Gaussian random field","score":0.5016958713531494},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.46540600061416626},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.4650460481643677},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.44718655943870544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41635558009147644},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.41470393538475037},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.38569819927215576},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.31482189893722534},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.3095782995223999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2906593084335327},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.23437002301216125},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2298698127269745},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1928354799747467},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1859833002090454},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.1288706660270691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11722156405448914}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.7001333236694336},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6550434231758118},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6015005111694336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5357123613357544},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.527109682559967},{"id":"https://openalex.org/C51267290","wikidata":"https://www.wikidata.org/wiki/Q5527848","display_name":"Gaussian random field","level":4,"score":0.5016958713531494},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.46540600061416626},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.4650460481643677},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.44718655943870544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41635558009147644},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.41470393538475037},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.38569819927215576},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.31482189893722534},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.3095782995223999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2906593084335327},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.23437002301216125},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2298698127269745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1928354799747467},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1859833002090454},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.1288706660270691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11722156405448914},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":12,"locations":[{"id":"doi:10.1109/isit.2016.7541782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"doi:10.1109/tit.2016.2620161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2016.2620161","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1512.06618","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1512.06618","pdf_url":"https://arxiv.org/pdf/1512.06618","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2294300537","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1512.06618.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:infoscience.epfl.ch:225772","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/225772","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.epfl.ch:225864","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/225864","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:publications.lib.chalmers.se:237068","is_oa":false,"landing_page_url":"http://publications.lib.chalmers.se/publication/237068-the-dispersion-of-nearest-neighbor-decoding-for-additive-non-gaussian-channels","pdf_url":null,"source":{"id":"https://openalex.org/S4377196470","display_name":"Chalmers Publication Library (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text.Article.Conference.PeerReviewed"},{"id":"pmh:oai:research.chalmers.se:237068","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/237068","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:research.chalmers.se:247842","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/247842","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/155645","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/155645","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Zurich Seminar on Communications - Proceedings","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1512.06618","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1512.06618","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.3929/ethz-a-010646505","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-a-010646505","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1512.06618","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1512.06618","pdf_url":"https://arxiv.org/pdf/1512.06618","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4586686200","display_name":null,"funder_award_id":"2012-4571","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"}],"funders":[{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2294300537.pdf","grobid_xml":"https://content.openalex.org/works/W2294300537.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1484170624","https://openalex.org/W1610772244","https://openalex.org/W1963905662","https://openalex.org/W2001053394","https://openalex.org/W2008130731","https://openalex.org/W2044180609","https://openalex.org/W2051707898","https://openalex.org/W2068118751","https://openalex.org/W2090887848","https://openalex.org/W2096667287","https://openalex.org/W2100866683","https://openalex.org/W2104340231","https://openalex.org/W2106864314","https://openalex.org/W2107995400","https://openalex.org/W2119584244","https://openalex.org/W2126650154","https://openalex.org/W2135754713","https://openalex.org/W2140752095","https://openalex.org/W2186415529","https://openalex.org/W2296441616","https://openalex.org/W2317486283","https://openalex.org/W2949985303","https://openalex.org/W2950067144","https://openalex.org/W4238664777","https://openalex.org/W4301258660","https://openalex.org/W6680414555"],"related_works":["https://openalex.org/W2596284900","https://openalex.org/W2885583037","https://openalex.org/W2747578148","https://openalex.org/W2066394743","https://openalex.org/W2886512358","https://openalex.org/W2745180098","https://openalex.org/W2126809697","https://openalex.org/W2160797366","https://openalex.org/W2962974085","https://openalex.org/W1978177389","https://openalex.org/W3093012524","https://openalex.org/W1615306220","https://openalex.org/W3104386355","https://openalex.org/W2159233281","https://openalex.org/W2229859691","https://openalex.org/W2950064057","https://openalex.org/W2806123548","https://openalex.org/W2604822672","https://openalex.org/W2775763251","https://openalex.org/W2962915224"],"abstract_inverted_index":{"We":[0,25,108],"study":[1],"the":[2,28,33,45,54,60,93,112,116,120,127,130,142],"second-order":[3,61,143],"asymptotics":[4,62],"of":[5,63,119,123,129],"information":[6],"transmission":[7],"using":[8],"random":[9],"Gaussian":[10,82],"codebooks":[11],"and":[12,40,83],"nearest":[13],"neighbor":[14],"decoding":[15,86],"over":[16,66],"a":[17],"power-limited":[18],"stationary":[19],"memoryless":[20],"additive":[21,72],"non-Gaussian":[22,34,71],"noise":[23,35,104],"channel.":[24],"show":[26,109],"that":[27,77,84,90,110],"dispersion":[29],"term":[30,114],"depends":[31,51,125],"on":[32,53,126],"only":[36,52,133],"through":[37,134],"its":[38],"second":[39,55],"fourth":[41],"moments,":[42],"thus":[43],"complementing":[44],"capacity":[46],"result":[47],"(Lapidoth,":[48],"1996),":[49],"which":[50],"moment.":[56],"Furthermore,":[57],"we":[58,75],"characterize":[59],"point-to-point":[64],"codes":[65],"K-sender":[67],"interference":[68,91],"networks":[69],"with":[70],"noise.":[73],"Specifically,":[74],"assume":[76],"each":[78,106],"user's":[79],"codebook":[80],"is":[81,87,101],"NN":[85],"employed,":[88],"i.e.,":[89],"from":[92],"K":[94],"-1":[95],"unintended":[96],"users":[97],"(Gaussian":[98],"interfering":[99,131],"signals)":[100],"treated":[102],"as":[103],"at":[105],"decoder.":[107],"while":[111],"first-order":[113],"in":[115],"asymptotic":[117],"expansion":[118],"maximum":[121],"number":[122],"messages":[124],"power":[128],"codewords":[132],"their":[135],"sum,":[136],"this":[137],"does":[138],"not":[139],"hold":[140],"for":[141],"term.":[144]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}