{"id":"https://openalex.org/W4403183149","doi":"https://doi.org/10.1109/spawc60668.2024.10694419","title":"Neural Compress-and-Forward for the Relay Channel","display_name":"Neural Compress-and-Forward for the Relay Channel","publication_year":2024,"publication_date":"2024-09-10","ids":{"openalex":"https://openalex.org/W4403183149","doi":"https://doi.org/10.1109/spawc60668.2024.10694419"},"language":"en","primary_location":{"id":"doi:10.1109/spawc60668.2024.10694419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc60668.2024.10694419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-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/A5081362486","display_name":"Ezgi \u00d6zy\u0131lkan","orcid":"https://orcid.org/0009-0000-9011-4383"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ezgi \u00d6zy\u0131lkan","raw_affiliation_strings":["New York University,Department of Electrical and Computer Engineering,Brooklyn,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Department of Electrical and Computer Engineering,Brooklyn,NY","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003394964","display_name":"Fabrizio Carpi","orcid":"https://orcid.org/0000-0003-0406-9016"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fabrizio Carpi","raw_affiliation_strings":["New York University,Department of Electrical and Computer Engineering,Brooklyn,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Department of Electrical and Computer Engineering,Brooklyn,NY","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010950688","display_name":"Siddharth Garg","orcid":"https://orcid.org/0000-0002-6158-9512"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siddharth Garg","raw_affiliation_strings":["New York University,Department of Electrical and Computer Engineering,Brooklyn,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Department of Electrical and Computer Engineering,Brooklyn,NY","institution_ids":["https://openalex.org/I57206974"]}]},{"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/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elza Erkip","raw_affiliation_strings":["New York University,Department of Electrical and Computer Engineering,Brooklyn,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Department of Electrical and Computer Engineering,Brooklyn,NY","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":1.1943,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82902633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"366","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9542999863624573,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9542999863624573,"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/relay","display_name":"Relay","score":0.799353301525116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6797552704811096},{"id":"https://openalex.org/keywords/relay-channel","display_name":"Relay channel","score":0.5713527798652649},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5111268162727356},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4633996784687042},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06883686780929565}],"concepts":[{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.799353301525116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797552704811096},{"id":"https://openalex.org/C46257984","wikidata":"https://www.wikidata.org/wiki/Q7310895","display_name":"Relay channel","level":4,"score":0.5713527798652649},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5111268162727356},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4633996784687042},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06883686780929565},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spawc60668.2024.10694419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc60668.2024.10694419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1971536606","https://openalex.org/W2098567664","https://openalex.org/W2099111195","https://openalex.org/W2099828508","https://openalex.org/W2119047110","https://openalex.org/W2120197763","https://openalex.org/W2140314213","https://openalex.org/W2148963518","https://openalex.org/W2150412388","https://openalex.org/W2151892961","https://openalex.org/W2152121970","https://openalex.org/W2155174176","https://openalex.org/W2167447263","https://openalex.org/W3011934092","https://openalex.org/W3092222935","https://openalex.org/W3095497211","https://openalex.org/W4212863985","https://openalex.org/W4386075127","https://openalex.org/W4393406656","https://openalex.org/W4393407049","https://openalex.org/W4403183149","https://openalex.org/W6600446505","https://openalex.org/W6730091202","https://openalex.org/W6846222405"],"related_works":["https://openalex.org/W2608897767","https://openalex.org/W2963768675","https://openalex.org/W2153829573","https://openalex.org/W2099376255","https://openalex.org/W2004047158","https://openalex.org/W2119153672","https://openalex.org/W2993015344","https://openalex.org/W1559320887","https://openalex.org/W2374704553","https://openalex.org/W2082611414"],"abstract_inverted_index":{"The":[0,104],"relay":[1,24,45,79,93,163],"channel,":[2],"consisting":[3],"of":[4,15,21,67,116,135,160],"a":[5,9,12,22,85,91,96,161,167,179],"source-destination":[6],"pair":[7],"and":[8,46,98],"relay,":[10,122],"is":[11],"fundamental":[13],"component":[14],"cooperative":[16],"communications.":[17],"While":[18],"the":[19,40,44,60,68,78,117,121,124,133,141,146,158,174],"capacity":[20,159],"general":[23],"channel":[25,80,94,164],"remains":[26],"unknown,":[27],"various":[28],"relaying":[29,183],"strategies,":[30],"including":[31],"compress-and-forward":[32],"(CF),":[33],"have":[34],"been":[35],"proposed.":[36],"For":[37],"CF,":[38],"given":[39],"correlated":[41],"signals":[42],"at":[43,120],"destination,":[47],"distributed":[48,74],"compression":[49],"techniques,":[50],"such":[51],"as":[52],"Wyner\u2013Ziv":[53,88],"coding,":[54],"can":[55],"be":[56],"harnessed":[57],"to":[58,157],"utilize":[59],"relay-to-destination":[61,102],"link":[62],"more":[63],"efficiently.":[64],"In":[65],"light":[66],"recent":[69],"advancements":[70],"in":[71],"neural":[72,106,148,181],"network-based":[73],"compression,":[75],"we":[76,83],"revisit":[77],"problem,":[81],"where":[82],"integrate":[84],"learned":[86,171],"one-shot":[87],"compressor":[89,113,172],"into":[90,140],"primitive":[92,162],"with":[95],"finite-capacity":[97],"orthogonal":[99],"(or":[100],"out-of-band)":[101],"link.":[103],"resulting":[105],"CF":[107,127,149,182],"scheme":[108],"demonstrates":[109],"that":[110,145,165],"our":[111],"task-oriented":[112],"recovers":[114],"binning":[115],"quantized":[118],"indices":[119],"mimicking":[123],"optimal":[125],"asymptotic":[126],"strategy,":[128],"although":[129],"no":[130],"structure":[131],"exploiting":[132],"knowledge":[134],"source":[136],"statistics":[137],"was":[138],"imposed":[139],"design.":[142],"We":[143],"show":[144],"proposed":[147],"scheme,":[150],"employing":[151],"finite":[152],"order":[153],"modulation,":[154],"operates":[155],"closely":[156],"assumes":[166],"Gaussian":[168],"codebook.":[169],"Our":[170],"provides":[173],"first":[175],"proof-of-concept":[176],"work":[177],"toward":[178],"practical":[180],"scheme.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
