{"id":"https://openalex.org/W2785411570","doi":"https://doi.org/10.1109/pimrc.2017.8292273","title":"Full-duplex relays under multilevel coding: Correlation design via modulation labeling","display_name":"Full-duplex relays under multilevel coding: Correlation design via modulation labeling","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2785411570","doi":"https://doi.org/10.1109/pimrc.2017.8292273","mag":"2785411570"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2017.8292273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2017.8292273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","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/A5044079000","display_name":"Ahmed Attia Abotabl","orcid":"https://orcid.org/0000-0001-6102-3933"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ahmed Attia Abotabl","raw_affiliation_strings":["Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062861585","display_name":"Aria Nosratinia","orcid":"https://orcid.org/0000-0002-3751-0165"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aria Nosratinia","raw_affiliation_strings":["Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044079000"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19122383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12791","display_name":"Full-Duplex Wireless Communications","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/T12791","display_name":"Full-Duplex Wireless Communications","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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9993000030517578,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6498051881790161},{"id":"https://openalex.org/keywords/relay","display_name":"Relay","score":0.6427053809165955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5972461700439453},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5694156885147095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5181564092636108},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.49408820271492004},{"id":"https://openalex.org/keywords/coding-gain","display_name":"Coding gain","score":0.43076038360595703},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4104064106941223},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38498011231422424},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.33993011713027954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32415974140167236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13088253140449524},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0978398323059082},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07443809509277344},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07221013307571411}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6498051881790161},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.6427053809165955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5972461700439453},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5694156885147095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5181564092636108},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.49408820271492004},{"id":"https://openalex.org/C76862118","wikidata":"https://www.wikidata.org/wiki/Q1105671","display_name":"Coding gain","level":3,"score":0.43076038360595703},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4104064106941223},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38498011231422424},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.33993011713027954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32415974140167236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13088253140449524},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0978398323059082},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07443809509277344},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07221013307571411},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/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/pimrc.2017.8292273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2017.8292273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1558090523","https://openalex.org/W2000183895","https://openalex.org/W2022271272","https://openalex.org/W2022598164","https://openalex.org/W2036793800","https://openalex.org/W2038354894","https://openalex.org/W2049516452","https://openalex.org/W2068624030","https://openalex.org/W2098470405","https://openalex.org/W2098567664","https://openalex.org/W2121562120","https://openalex.org/W2131280424","https://openalex.org/W2145630771","https://openalex.org/W2291301549","https://openalex.org/W2516549307","https://openalex.org/W2546338274","https://openalex.org/W3099152093","https://openalex.org/W3100777080","https://openalex.org/W4252155227","https://openalex.org/W6660252795"],"related_works":["https://openalex.org/W2539674285","https://openalex.org/W1998322187","https://openalex.org/W1038122923","https://openalex.org/W2952514781","https://openalex.org/W3019210376","https://openalex.org/W2391145594","https://openalex.org/W4242191701","https://openalex.org/W2085594902","https://openalex.org/W3197346567","https://openalex.org/W2109389623"],"abstract_inverted_index":{"Unlike":[0],"the":[1,4,7,14,17,25,72,82,90,98,107,115,118,127,135,174],"half-duplex":[2],"relay,":[3],"performance":[5,51],"of":[6,27,75,100,109,117,151,157,163],"full-duplex":[8],"relay":[9,20],"is":[10,87,97,102],"highly":[11],"sensitive":[12],"to":[13,49,140,154,179],"correlation":[15,44,73,153,176],"between":[16],"source":[18],"and":[19],"codebooks.":[21],"Linear":[22],"coding":[23,34],"complicates":[24],"design":[26,67,177],"correlated":[28],"codebooks,":[29],"for":[30,81,93],"example":[31],"in":[32,57,104,171],"multilevel":[33],"(MLC)":[35],"linear":[36,76],"codes":[37,77,170],"at":[38,123,160],"each":[39,124],"layer":[40],"can":[41],"only":[42],"have":[43],"zero":[45,141],"or":[46,137,142],"one,":[47],"leading":[48],"a":[50,65,148,155],"penalty":[52,74],"that":[53,69,167],"has":[54],"been":[55],"characterized":[56],"earlier":[58],"work.":[59],"In":[60,144],"this":[61,146],"paper,":[62],"we":[63],"propose":[64],"new":[66,132],"technique":[68],"significantly":[70],"reduces":[71],"via":[78],"intelligent":[79],"labeling":[80,108],"modulation.":[83],"The":[84],"basic":[85],"idea":[86],"as":[88,112,114],"follows:":[89],"chain":[91,119],"rule":[92],"mutual":[94,128],"information,":[95],"which":[96],"backbone":[99],"MLC,":[101],"not-unique":[103],"two":[105],"ways:":[106],"modulation":[110],"constellation":[111],"well":[113],"ordering":[116],"rule.":[120],"Our":[121],"optimization":[122],"level":[125],"pushes":[126],"information":[129,133,139],"terms":[130],"involving":[131],"(for":[134],"relay)":[136],"beamforming":[138],"one.":[143],"effect":[145],"finds":[147],"suitable":[149],"decomposition":[150],"overall":[152],"set":[156],"binary":[158],"correlations":[159],"individual":[161],"levels":[162],"MLC.":[164],"Simulations":[165],"show":[166],"point-to-point":[168],"LDPC":[169],"combination":[172],"with":[173],"proposed":[175],"lead":[178],"excellent":[180],"performance.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}