{"id":"https://openalex.org/W3045978322","doi":"https://doi.org/10.1109/tit.2020.3012629","title":"Encoder-Assisted Communications Over Additive Noise Channels","display_name":"Encoder-Assisted Communications Over Additive Noise Channels","publication_year":2020,"publication_date":"2020-07-29","ids":{"openalex":"https://openalex.org/W3045978322","doi":"https://doi.org/10.1109/tit.2020.3012629","mag":"3045978322"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2020.3012629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2020.3012629","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"},"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/A5059036901","display_name":"Amos Lapidoth","orcid":"https://orcid.org/0000-0002-4742-5124"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Amos Lapidoth","raw_affiliation_strings":["ETH Zurich, CH-8092, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-4742-5124","affiliations":[{"raw_affiliation_string":"ETH Zurich, CH-8092, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004587877","display_name":"Gian Marti","orcid":"https://orcid.org/0000-0001-6848-0213"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Gian Marti","raw_affiliation_strings":["ETH Zurich, CH-8092, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-6848-0213","affiliations":[{"raw_affiliation_string":"ETH Zurich, CH-8092, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":0.9781,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.73488174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"66","issue":"11","first_page":"6607","last_page":"6616"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9987999796867371,"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":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shannon\u2013hartley-theorem","display_name":"Shannon\u2013Hartley theorem","score":0.6743613481521606},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6684333682060242},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6487741470336914},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5991498231887817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5722972750663757},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5604671239852905},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5043543577194214},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.4917316734790802},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4872797727584839},{"id":"https://openalex.org/keywords/effective-input-noise-temperature","display_name":"Effective input noise temperature","score":0.44252803921699524},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36546286940574646},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.3593130111694336},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.32485127449035645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.319736123085022},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.2683691680431366},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.26465004682540894},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2375693917274475},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18881109356880188},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.17893698811531067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10021752119064331},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08845177292823792}],"concepts":[{"id":"https://openalex.org/C180137035","wikidata":"https://www.wikidata.org/wiki/Q1756194","display_name":"Shannon\u2013Hartley theorem","level":4,"score":0.6743613481521606},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6684333682060242},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6487741470336914},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5991498231887817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5722972750663757},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5604671239852905},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5043543577194214},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.4917316734790802},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4872797727584839},{"id":"https://openalex.org/C12252657","wikidata":"https://www.wikidata.org/wiki/Q5347266","display_name":"Effective input noise temperature","level":5,"score":0.44252803921699524},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36546286940574646},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.3593130111694336},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.32485127449035645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.319736123085022},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.2683691680431366},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.26465004682540894},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2375693917274475},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18881109356880188},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.17893698811531067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10021752119064331},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08845177292823792},{"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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2020.3012629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2020.3012629","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W4080413","https://openalex.org/W1494099594","https://openalex.org/W1576475658","https://openalex.org/W1976109068","https://openalex.org/W1976625337","https://openalex.org/W2001968606","https://openalex.org/W2096752605","https://openalex.org/W2099111195","https://openalex.org/W2105935781","https://openalex.org/W2108321850","https://openalex.org/W2119584244","https://openalex.org/W2130692942","https://openalex.org/W2263466419","https://openalex.org/W2478708596","https://openalex.org/W2963016623","https://openalex.org/W2963918213","https://openalex.org/W3005782355","https://openalex.org/W3014396942","https://openalex.org/W3021017309","https://openalex.org/W4300840296","https://openalex.org/W4388297583","https://openalex.org/W6776458499"],"related_works":["https://openalex.org/W2011915004","https://openalex.org/W2588855097","https://openalex.org/W1988257008","https://openalex.org/W1983420318","https://openalex.org/W1994564088","https://openalex.org/W2149353551","https://openalex.org/W2099764291","https://openalex.org/W2894348556","https://openalex.org/W3045978322","https://openalex.org/W2089436362"],"abstract_inverted_index":{"A":[0],"coding":[1],"technique":[2,37],"that":[3],"is":[4,9,38,62,88,107],"based":[5],"on":[6,117],"flash":[7],"helping":[8],"proposed":[10],"for":[11,94],"communicating":[12],"over":[13,30],"additive":[14,96],"noise":[15,22,47,81,97,121],"channels":[16],"where":[17],"a":[18,31,70],"helper":[19,44,71],"observes":[20,45],"the":[21,28,43,46,52,58,63,66,73,76,95,101,118],"and":[23,72,82,100],"can":[24],"describe":[25],"it":[26,60,87],"to":[27],"encoder":[29],"noise-free":[32],"rate-limited":[33],"bit":[34,77],"pipe.":[35,78],"The":[36,105],"applicable":[39,108],"irrespective":[40],"of":[41,55,65,75],"whether":[42],"causally":[48],"or":[49],"noncausally.":[50],"On":[51],"single-user":[53,102],"channel":[54,99],"general":[56],"noise,":[57],"rate":[59,74],"achieves":[61],"sum":[64],"channel's":[67],"capacity":[68],"without":[69],"For":[79],"Gaussian":[80],"under":[83],"an":[84],"average-power":[85],"constraint,":[86],"optimal.":[89],"Analogous":[90],"results":[91],"are":[92],"derived":[93],"multiple-access":[98],"Exponential":[103],"channel.":[104,122],"approach":[106],"also":[109],"in":[110],"some":[111],"(noncausal)":[112],"discrete":[113,119],"settings,":[114],"as":[115],"demonstrated":[116],"modulo-additive":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}