{"id":"https://openalex.org/W1979036220","doi":"https://doi.org/10.1109/isit.2007.4557146","title":"Interference Channel and Compound MAC with Correlated Sources and Receiver Side Information","display_name":"Interference Channel and Compound MAC with Correlated Sources and Receiver Side Information","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W1979036220","doi":"https://doi.org/10.1109/isit.2007.4557146","mag":"1979036220"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2007.4557146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2007.4557146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11380/1202616","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016883501","display_name":"Den\u0131z G\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-7725-395X"},"institutions":[{"id":"https://openalex.org/I4210108259","display_name":"Polymer Research Institute","ror":"https://ror.org/01qj7t912","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210108259"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Deniz Gunduz","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Polytechnic University, Brooklyn, NY","Polytech. Univ., Brooklyn"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Polytechnic University, Brooklyn, NY","institution_ids":[]},{"raw_affiliation_string":"Polytech. Univ., Brooklyn","institution_ids":["https://openalex.org/I4210108259"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084526367","display_name":"Elza Erkip","orcid":"https://orcid.org/0000-0001-8718-8648"},"institutions":[{"id":"https://openalex.org/I4210108259","display_name":"Polymer Research Institute","ror":"https://ror.org/01qj7t912","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210108259"]},{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["RU","US"],"is_corresponding":false,"raw_author_name":"Elza Erkip","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Polytechnic University, Brooklyn, NY, USA","Polytech. Univ., Brooklyn"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Polytechnic University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I90965887"]},{"raw_affiliation_string":"Polytech. Univ., Brooklyn","institution_ids":["https://openalex.org/I4210108259"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016883501"],"corresponding_institution_ids":["https://openalex.org/I4210108259"],"apc_list":null,"apc_paid":null,"fwci":2.4984,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88549462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1751","last_page":"1755"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":1.0,"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":1.0,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.979200005531311,"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/decoding-methods","display_name":"Decoding methods","score":0.7179075479507446},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6965970396995544},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6604502201080322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6551929712295532},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6539185047149658},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5535033941268921},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5458978414535522},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.5361737012863159},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4985501766204834},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4857102334499359},{"id":"https://openalex.org/keywords/side-channel-attack","display_name":"Side channel attack","score":0.4612376391887665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4544563293457031},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3967415392398834},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3627502918243408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2257768213748932},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.11659833788871765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0971202552318573}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7179075479507446},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6965970396995544},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6604502201080322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6551929712295532},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6539185047149658},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5535033941268921},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5458978414535522},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.5361737012863159},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4985501766204834},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4857102334499359},{"id":"https://openalex.org/C49289754","wikidata":"https://www.wikidata.org/wiki/Q2267081","display_name":"Side channel attack","level":3,"score":0.4612376391887665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4544563293457031},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3967415392398834},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3627502918243408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2257768213748932},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.11659833788871765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0971202552318573},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2007.4557146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2007.4557146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unimore.it:11380/1202616","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1202616","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unimore.it:11380/1202616","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1202616","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2017148445","https://openalex.org/W2018974756","https://openalex.org/W2044485422","https://openalex.org/W2088908785","https://openalex.org/W2099111195","https://openalex.org/W2120365147","https://openalex.org/W2129504043","https://openalex.org/W2130555127","https://openalex.org/W2137482633","https://openalex.org/W2144970857"],"related_works":["https://openalex.org/W3106969033","https://openalex.org/W2186939576","https://openalex.org/W2357988910","https://openalex.org/W2377158164","https://openalex.org/W2187600494","https://openalex.org/W4283822356","https://openalex.org/W1950940422","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W2147282173"],"abstract_inverted_index":{"We":[0,29,82],"consider":[1],"discrete":[2],"memoryless":[3],"compound":[4,135],"multiple":[5,136],"access":[6,137],"and":[7,13,20,23,39,58,79,103,106,134,142],"interference":[8,69,133],"channels":[9,50,138],"with":[10,139],"correlated":[11,14,140],"sources":[12,78,141],"side":[15,56,80,143],"information":[16,57],"at":[17,113],"the":[18,35,55,59,65,74,77,84,114,127],"receivers,":[19],"investigate":[21],"necessary":[22,47],"sufficient":[24,32],"conditions":[25,33,44],"for":[26,34,48,92,132],"lossless":[27],"transmission.":[28],"first":[30,128],"give":[31],"most":[36],"general":[37],"setting,":[38],"then":[40],"show":[41],"that":[42],"these":[43,124],"are":[45],"also":[46],"both":[49],"under":[51],"certain":[52,93],"assumptions":[53],"on":[54],"interference.":[60],"In":[61],"particular,":[62],"we":[63],"generalize":[64],"notion":[66],"of":[67,86],"strong":[68],"to":[70,111],"take":[71],"into":[72],"account":[73],"correlation":[75],"among":[76],"information.":[81,144],"prove":[83],"optimality":[85],"'informational'":[87],"or":[88],"'operational'":[89],"source-channel":[90,129],"separation":[91,98,109,112,130],"special":[94],"cases.":[95],"While":[96],"informational":[97],"results":[99,125,131],"in":[100],"independent":[101],"source":[102],"channel":[104],"encoding":[105],"decoding;":[107],"operational":[108],"corresponds":[110],"encoder,":[115],"while":[116],"decoding":[117],"is":[118],"done":[119],"jointly.":[120],"To":[121],"our":[122],"knowledge,":[123],"constitute":[126]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
