{"id":"https://openalex.org/W2101629480","doi":"https://doi.org/10.1109/glocom.2012.6503860","title":"A novel partial relay selection method for amplify-and-forward relay systems","display_name":"A novel partial relay selection method for amplify-and-forward relay systems","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2101629480","doi":"https://doi.org/10.1109/glocom.2012.6503860","mag":"2101629480"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2012.6503860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2012.6503860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013112758","display_name":"Batu K. Chalise","orcid":"https://orcid.org/0000-0001-7258-0567"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Batu K. Chalise","raw_affiliation_strings":["Center for Advanced Communications, Villanova University, Villanova, PA, USA","Center for Advanced Communications, Villanova University, PA 19085, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Communications, Villanova University, Villanova, PA, USA","institution_ids":["https://openalex.org/I7863295"]},{"raw_affiliation_string":"Center for Advanced Communications, Villanova University, PA 19085, USA","institution_ids":["https://openalex.org/I7863295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074195801","display_name":"Yimin D. Zhang","orcid":"https://orcid.org/0000-0002-4625-209X"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yimin D. Zhang","raw_affiliation_strings":["Center for Advanced Communications, Villanova University, Villanova, PA, USA","Center for Advanced Communications, Villanova University, PA 19085, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Communications, Villanova University, Villanova, PA, USA","institution_ids":["https://openalex.org/I7863295"]},{"raw_affiliation_string":"Center for Advanced Communications, Villanova University, PA 19085, USA","institution_ids":["https://openalex.org/I7863295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007661434","display_name":"Moeness G. Amin","orcid":"https://orcid.org/0000-0002-0926-4120"},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moeness G. Amin","raw_affiliation_strings":["Center for Advanced Communications, Villanova University, Villanova, PA, USA","Center for Advanced Communications, Villanova University, PA 19085, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Communications, Villanova University, Villanova, PA, USA","institution_ids":["https://openalex.org/I7863295"]},{"raw_affiliation_string":"Center for Advanced Communications, Villanova University, PA 19085, USA","institution_ids":["https://openalex.org/I7863295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7863295"],"apc_list":null,"apc_paid":null,"fwci":0.283,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.50693711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4695","last_page":"4700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":1.0,"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":1.0,"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":0.9976999759674072,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9951000213623047,"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/relay","display_name":"Relay","score":0.9357141256332397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6701145172119141},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.6351203322410583},{"id":"https://openalex.org/keywords/relay-channel","display_name":"Relay channel","score":0.5998088717460632},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5833911299705505},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5580574870109558},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5363695621490479},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.442920982837677},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44211825728416443},{"id":"https://openalex.org/keywords/diversity-gain","display_name":"Diversity gain","score":0.4343026876449585},{"id":"https://openalex.org/keywords/diversity-combining","display_name":"Diversity combining","score":0.4312753975391388},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.42141324281692505},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3228563666343689},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.2667074203491211},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2649086117744446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2617429792881012},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.22471749782562256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0778283178806305}],"concepts":[{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.9357141256332397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6701145172119141},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.6351203322410583},{"id":"https://openalex.org/C46257984","wikidata":"https://www.wikidata.org/wiki/Q7310895","display_name":"Relay channel","level":4,"score":0.5998088717460632},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5833911299705505},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5580574870109558},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5363695621490479},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.442920982837677},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44211825728416443},{"id":"https://openalex.org/C164785522","wikidata":"https://www.wikidata.org/wiki/Q5283966","display_name":"Diversity gain","level":4,"score":0.4343026876449585},{"id":"https://openalex.org/C136817519","wikidata":"https://www.wikidata.org/wiki/Q947493","display_name":"Diversity combining","level":4,"score":0.4312753975391388},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.42141324281692505},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3228563666343689},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.2667074203491211},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2649086117744446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2617429792881012},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.22471749782562256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0778283178806305},{"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/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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2012.6503860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2012.6503860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W604181985","https://openalex.org/W1667165204","https://openalex.org/W2024040067","https://openalex.org/W2075047701","https://openalex.org/W2091696547","https://openalex.org/W2099883394","https://openalex.org/W2103366363","https://openalex.org/W2127531738","https://openalex.org/W2128295617","https://openalex.org/W2140237260","https://openalex.org/W2149393158","https://openalex.org/W2157005274","https://openalex.org/W2159535895","https://openalex.org/W2170422354","https://openalex.org/W3008609509","https://openalex.org/W3100839090"],"related_works":["https://openalex.org/W1965566556","https://openalex.org/W2595297530","https://openalex.org/W2110879650","https://openalex.org/W2787091472","https://openalex.org/W2119435011","https://openalex.org/W2167424239","https://openalex.org/W2045420852","https://openalex.org/W2014909685","https://openalex.org/W2081779132","https://openalex.org/W2561450065"],"abstract_inverted_index":{"Although":[0],"partial":[1],"relay":[2,7,53,72],"selection":[3,54,85],"(PRS)":[4],"for":[5,56,94,137,215],"amplify-and-forward":[6],"systems":[8,27],"requires":[9],"only":[10,46,89],"the":[11,34,38,58,67,71,75,96,121,126,139,147,157,177,201,206,211,219,222,231],"knowledge":[12],"of":[13,33,36,41,60,92,125,146,156,176,221],"source-relay":[14],"(S-R)":[15],"channels,":[16],"in":[17,66,105,114],"general,":[18],"it":[19,184],"incurs":[20],"a":[21,51,90,166],"significant":[22],"performance":[23,59,220],"loss.":[24],"In":[25,63],"cooperative":[26],"with":[28,168,233],"all":[29],"single-antenna":[30],"nodes,":[31],"irrespective":[32],"number":[35],"relays,":[37,93],"diversity":[39,189],"order":[40,190],"PRS":[42,61,69,149,208],"is":[43,81,86,110,119,142,185,191,225],"limited":[44],"to":[45,112,144,165,170,230],"one.":[47],"This":[48],"paper":[49],"proposes":[50],"novel":[52],"method":[55,203,224,232],"improving":[57],"scheme.":[62],"particular,":[64],"as":[65],"conventional":[68,148,207],"scheme,":[70],"that":[73,145,187,200],"gives":[74],"best":[76],"first-hop":[77],"signal-to-noise":[78],"ratio":[79],"(SNR)":[80],"selected.":[82],"However,":[83],"this":[84],"made":[87],"from":[88],"subset":[91],"which":[95],"corresponding":[97],"S-R":[98],"and":[99,153,183,198],"relay-destination":[100],"(R-D)":[101],"links":[102],"are":[103,181],"not":[104],"outage.":[106],"An":[107],"R-D":[108],"link":[109],"considered":[111],"be":[113],"outage":[115,179],"if":[116],"its":[117],"SNR":[118,128],"below":[120],"predefined":[122],"threshold":[123],"value":[124],"end-to-end":[127,178],"plus":[129],"some":[130],"adjustable":[131],"margin.":[132],"The":[133,173],"additional":[134],"overhead":[135],"required":[136],"implementing":[138],"proposed":[140,158,202,223],"scheme":[141],"comparable":[143,229],"method.":[150,209],"For":[151],"conciseness":[152],"better":[154],"exposition":[155],"method,":[159],"we":[160],"limit":[161],"our":[162],"theoretical":[163,196],"analysis":[164,197],"system":[167],"two":[169],"three":[171],"relays.":[172],"exact":[174],"expressions":[175],"probability":[180],"derived":[182],"shown":[186],"full":[188,234],"achieved.":[192],"Simulation":[193],"results":[194,212],"verify":[195],"show":[199],"significantly":[204],"outperforms":[205],"Moreover,":[210],"demonstrate":[213],"that,":[214],"properly":[216],"selected":[217],"margin,":[218],"very":[226],"close":[227],"or":[228],"channel":[235],"state":[236],"information.":[237]},"counts_by_year":[{"year":2016,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
