{"id":"https://openalex.org/W2068657826","doi":"https://doi.org/10.1109/vetecf.2011.6093128","title":"Capacity-Approaching Design for Half-Duplex NAF Relay Channels","display_name":"Capacity-Approaching Design for Half-Duplex NAF Relay Channels","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2068657826","doi":"https://doi.org/10.1109/vetecf.2011.6093128","mag":"2068657826"},"language":"en","primary_location":{"id":"doi:10.1109/vetecf.2011.6093128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vetecf.2011.6093128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Vehicular Technology Conference (VTC Fall)","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/A5080774708","display_name":"Leonardo Jim\u00e9nez Rodr\u00edguez","orcid":"https://orcid.org/0000-0003-1666-1164"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Leonardo Jimenez Rodriguez","raw_affiliation_strings":["Department of Electrical & Computer Engineering, McGill University, Montreal, QUE, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, McGill University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045721364","display_name":"Nghi H. Tran","orcid":"https://orcid.org/0000-0002-4246-0190"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Nghi H. Tran","raw_affiliation_strings":["Department of Electrical & Computer Engineering, McGill University, Montreal, QUE, Canada","Department of Electrical & Computer Engineering, University of Akron, Akron, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, McGill University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Akron, Akron, OH, USA","institution_ids":["https://openalex.org/I110152177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026464766","display_name":"Tho Le\u2010Ngoc","orcid":"https://orcid.org/0000-0002-9308-8894"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tho Le-Ngoc","raw_affiliation_strings":["Department of Electrical & Computer Engineering, McGill University, Montreal, QUE, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, McGill University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080774708"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15291564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9998999834060669,"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":0.9998999834060669,"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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9998000264167786,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9990000128746033,"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/algorithm","display_name":"Algorithm","score":0.6028788089752197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5521074533462524},{"id":"https://openalex.org/keywords/relay","display_name":"Relay","score":0.5185373425483704},{"id":"https://openalex.org/keywords/spectral-efficiency","display_name":"Spectral efficiency","score":0.502697229385376},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4989168643951416},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.49522319436073303},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4482837915420532},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.43955469131469727},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.42336374521255493},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4232792258262634},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3631895184516907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3395634591579437},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2802601754665375},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.27965980768203735},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16940101981163025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11539047956466675},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10532760620117188}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6028788089752197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5521074533462524},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.5185373425483704},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.502697229385376},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4989168643951416},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.49522319436073303},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4482837915420532},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.43955469131469727},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.42336374521255493},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4232792258262634},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3631895184516907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3395634591579437},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2802601754665375},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.27965980768203735},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16940101981163025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11539047956466675},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10532760620117188},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","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/vetecf.2011.6093128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vetecf.2011.6093128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Vehicular Technology Conference (VTC Fall)","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":19,"referenced_works":["https://openalex.org/W1995126210","https://openalex.org/W2098567664","https://openalex.org/W2098969228","https://openalex.org/W2102934991","https://openalex.org/W2106801259","https://openalex.org/W2108490360","https://openalex.org/W2111354185","https://openalex.org/W2118458346","https://openalex.org/W2120062331","https://openalex.org/W2121916661","https://openalex.org/W2122574534","https://openalex.org/W2122989348","https://openalex.org/W2126581780","https://openalex.org/W2130876557","https://openalex.org/W2138208223","https://openalex.org/W2139602148","https://openalex.org/W2143533442","https://openalex.org/W2150940322","https://openalex.org/W2163708326"],"related_works":["https://openalex.org/W3209566644","https://openalex.org/W2137628250","https://openalex.org/W2602252168","https://openalex.org/W4290996306","https://openalex.org/W2088618661","https://openalex.org/W2130715019","https://openalex.org/W2089617827","https://openalex.org/W2108756703","https://openalex.org/W2132453830","https://openalex.org/W3080706308"],"abstract_inverted_index":{"In":[0,139],"this":[1],"paper,":[2],"we":[3,145],"design":[4],"a":[5,33,131,160],"capacity-approaching":[6],"coded":[7],"modulation":[8,133],"scheme":[9,111],"for":[10,47,58,102,114,141],"half-duplex":[11],"non-orthogonal":[12],"amplify-and-forward":[13],"(NAF)":[14],"single-relay":[15],"channel.":[16],"We":[17],"apply":[18],"the":[19,54,63,71,93,96,100,109,118,125,136,147,168,176],"idea":[20],"of":[21,152],"multi-dimensional":[22],"(multi-D)":[23],"mapping":[24],"employed":[25],"in":[26,70,78,117],"precoded":[27],"multiple":[28],"cooperative":[29],"frames,":[30],"concatenated":[31],"with":[32,179],"simple":[34],"outer":[35,94],"binary":[36],"code.":[37],"Using":[38],"union":[39],"bounding":[40],"techniques,":[41],"it":[42,121],"is":[43,106,112,165],"first":[44],"shown":[45],"that":[46,108,120,164],"any":[48],"unitary":[49],"and":[50,99,172],"full-diversity":[51],"rotation":[52],"G,":[53],"optimal":[55],"multi-D":[56,72,97],"labeling":[57],"NAF":[59,115],"relaying":[60],"shall":[61],"maximize":[62],"average":[64],"Euclidean":[65],"distance":[66],"between":[67],"all":[68],"pairs":[69],"rotated":[73],"constellation":[74],"whose":[75],"labels":[76],"differ":[77],"only":[79],"one":[80],"bit.":[81],"The":[82],"extrinsic":[83],"information":[84],"transfer":[85],"(EXIT)":[86],"charts":[87],"are":[88],"then":[89],"used":[90],"to":[91],"match":[92],"code,":[95],"mapping,":[98],"precoder":[101],"near-capacity":[103],"performance.":[104],"It":[105],"demonstrated":[107],"proposed":[110],"promising":[113],"relaying,":[116],"sense":[119],"can":[122],"operate":[123],"below":[124,167],"achievable":[126,170],"rate":[127,150,171],"obtained":[128],"by":[129],"using":[130],"conventional":[132],"scheme,":[134],"i.e.,":[135],"constrained":[137],"capacity.":[138],"particular,":[140],"various":[142],"spectral":[143],"efficiencies,":[144],"obtain":[146],"bit":[148],"error":[149],"(BER)":[151],"10":[153],"<sup":[154],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[155],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-5</sup>":[156],"or":[157],"lower":[158],"at":[159],"signal-to-noise":[161],"ratio":[162],"(SNR)":[163],"0.45dB-1dB":[166],"traditional":[169],"within":[173],"1.55dB-1.95dB":[174],"from":[175],"ergodic":[177],"capacity":[178],"Gaussian":[180],"inputs.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
