{"id":"https://openalex.org/W2059613941","doi":"https://doi.org/10.1109/tit.2013.2264472","title":"Broadcasting With Side Information: Bounding and Approximating the Broadcast Rate","display_name":"Broadcasting With Side Information: Bounding and Approximating the Broadcast Rate","publication_year":2013,"publication_date":"2013-08-28","ids":{"openalex":"https://openalex.org/W2059613941","doi":"https://doi.org/10.1109/tit.2013.2264472","mag":"2059613941"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2013.2264472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2013.2264472","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/A5003124189","display_name":"Anna Blasiak","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Blasiak","raw_affiliation_strings":["Department of Computer Science, Cornell University, Ithaca, NY, USA","[Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA]","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040052580","display_name":"Robert Kleinberg","orcid":"https://orcid.org/0000-0002-8306-3407"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Kleinberg","raw_affiliation_strings":["Department of Computer Science, Cornell University, Ithaca, NY, USA","[Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA]","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047720470","display_name":"Eyal Lubetzky","orcid":"https://orcid.org/0000-0002-2281-3542"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eyal Lubetzky","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.9588,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.99008057,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"59","issue":"9","first_page":"5811","last_page":"5823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9997000098228455,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9997000098228455,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9509999752044678,"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/T11827","display_name":"Polyomavirus and related diseases","score":0.9474999904632568,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6007607579231262},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4808445870876312},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46724963188171387},{"id":"https://openalex.org/keywords/linear-network-coding","display_name":"Linear network coding","score":0.46324387192726135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.415221631526947},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34250497817993164},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3251822888851166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27670717239379883},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.12109345197677612},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10094526410102844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6007607579231262},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4808445870876312},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46724963188171387},{"id":"https://openalex.org/C138293262","wikidata":"https://www.wikidata.org/wiki/Q1089578","display_name":"Linear network coding","level":3,"score":0.46324387192726135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.415221631526947},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34250497817993164},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3251822888851166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27670717239379883},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.12109345197677612},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10094526410102844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2013.2264472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2013.2264472","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":21,"referenced_works":["https://openalex.org/W1976329386","https://openalex.org/W1982506822","https://openalex.org/W2011869755","https://openalex.org/W2015922523","https://openalex.org/W2056125869","https://openalex.org/W2068348079","https://openalex.org/W2081008934","https://openalex.org/W2089247135","https://openalex.org/W2103320637","https://openalex.org/W2105406958","https://openalex.org/W2106630500","https://openalex.org/W2121205191","https://openalex.org/W2130507035","https://openalex.org/W2133251572","https://openalex.org/W2147101953","https://openalex.org/W2167703619","https://openalex.org/W2610782124","https://openalex.org/W4234481233","https://openalex.org/W4250831670","https://openalex.org/W4252452132","https://openalex.org/W4254856950"],"related_works":["https://openalex.org/W2212571888","https://openalex.org/W2139379087","https://openalex.org/W2020805386","https://openalex.org/W3014803371","https://openalex.org/W2411336269","https://openalex.org/W2124128583","https://openalex.org/W2489403550","https://openalex.org/W2079655802","https://openalex.org/W2073059552","https://openalex.org/W2134859306"],"abstract_inverted_index":{"Index":[0],"coding":[1,50,78],"has":[2],"received":[3],"considerable":[4],"attention":[5],"recently":[6],"motivated":[7],"in":[8,19,23,39,231],"part":[9,24],"by":[10,25,166,311],"applications":[11],"such":[12,51],"as":[13,52,60,62],"fast":[14],"video-on-demand":[15],"and":[16,22,34,57,84,88,98,173,181,206,254,324],"efficient":[17,35],"communication":[18,145],"wireless":[20],"networks":[21],"its":[26,344],"connection":[27],"to":[28,45,109],"network":[29,49],"coding.":[30],"Optimal":[31],"encoding":[32,351],"schemes":[33],"heuristics":[36],"were":[37],"studied":[38],"various":[40,264,269],"settings,":[41],"while":[42,343],"also":[43],"leading":[44],"new":[46,156],"results":[47],"for":[48,147,193,220,242,263,291],"improved":[53],"gaps":[54],"between":[55,316],"linear":[56,228],"non-linear":[58],"capacity":[59],"well":[61],"hardness":[63],"of":[64,68,75,86,95,117,130,210,266,272,308],"approximation.":[65],"The":[66,106,127],"problem":[67],"broadcasting":[69],"with":[70,81,245,286],"side":[71],"information,":[72],"a":[73,82,93,111,203,239,283,287],"generalization":[74],"the":[76,96,104,118,133,143,207,225,306,325,349],"index":[77],"problem,":[79],"begins":[80],"sender":[83,107],"sets":[85],"users":[87],"messages.":[89],"Each":[90],"user":[91,121],"possesses":[92],"subset":[94],"messages":[97],"desires":[99],"an":[100],"additional":[101],"message":[102,112],"from":[103,278,348],"set.":[105],"wishes":[108],"broadcast":[110,119,134],"so":[113],"that":[114],"on":[115,159],"receipt":[116],"each":[120],"can":[122],"compute":[123],"her":[124],"desired":[125],"message.":[126],"fundamental":[128],"parameter":[129],"interest":[131],"is":[132,340,353],"rate,":[135],"<formula":[136,160,195,211,246,256,293,317,334],"formulatype=\"inline\"":[137,161,196,212,247,257,294,318,335],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[138,162,169,178,184,197,213,234,248,258,295,319,336],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex":[139,163,259,337],"Notation=\"TeX\">$\\beta":[140,164,200,216,251,260,298,322,338],"$</tex></formula>":[141,165,201,217,261,299,323,339],",":[142],"average":[144],"cost":[146],"sufficiently":[148],"long":[149],"broadcasts.":[150],"Though":[151],"there":[152,187],"have":[153],"been":[154],"many":[155],"nontrivial":[157,204,222,288],"bounds":[158,310],"Bar-Yossef":[167],"<etal":[168,177,183,233],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"/>":[170,179,185,235],"(2006),":[171],"Lubetzky":[172],"Stav":[174],"(2007),":[175],"Alon":[176],"(2008),":[180],"Blasiak":[182,232],"(2011)":[186],"was":[188],"no":[189],"known":[190],"polynomial-time":[191,240,284],"algorithm":[192,241,285],"approximating":[194],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[198,214,249,296,320],"<tex":[199,215,250,297,321],"within":[202],"factor,":[205],"exact":[208],"value":[209],"remained":[218],"unknown":[219],"all":[221],"instances.":[223],"Using":[224],"information":[226],"theoretic":[227],"program":[229],"introduced":[230],"(2011),":[236],"we":[237,281,302,330],"give":[238,282],"recognizing":[243],"instances":[244],"=":[252],"2$</tex></formula>":[253],"pinpoint":[255],"precisely":[262],"classes":[265],"graphs":[267,271,332],"(e.g.,":[268],"Cayley":[270],"cyclic":[273],"groups).":[274],"Further,":[275],"extending":[276],"ideas":[277],"Ramsey":[279],"theory,":[280],"approximation":[289],"ratio":[290],"computing":[292],".":[300],"Finally,":[301],"provide":[303],"insight":[304],"into":[305],"quality":[307],"previous":[309],"giving":[312],"constructions":[313],"showing":[314],"separations":[315],"respective":[326],"bounds.":[327],"In":[328],"particular,":[329],"construct":[331],"where":[333],"uniformly":[341],"bounded":[342],"upper":[345],"bound":[346],"derived":[347],"na\u00efve":[350],"scheme":[352],"polynomially":[354],"worse.":[355]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
