{"id":"https://openalex.org/W2954767139","doi":"https://doi.org/10.1109/vtcspring.2019.8746624","title":"Cooperative Relaying with Energy Harvesting: Performance Analysis Using Extreme Value Theory","display_name":"Cooperative Relaying with Energy Harvesting: Performance Analysis Using Extreme Value Theory","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2954767139","doi":"https://doi.org/10.1109/vtcspring.2019.8746624","mag":"2954767139"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2019.8746624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)","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/A5100321249","display_name":"Zhi\u2010Wei Liu","orcid":"https://orcid.org/0000-0003-3005-1792"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwei Liu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033422280","display_name":"Peiran Wu","orcid":"https://orcid.org/0000-0001-9747-3629"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiran Wu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021191255","display_name":"Daniel Benevides da Costa","orcid":"https://orcid.org/0000-0002-5439-7475"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniel B. da Costa","raw_affiliation_strings":["Department of Computer Engineering, Federal University of Cear\u00e1 (UFC), Sobral, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Federal University of Cear\u00e1 (UFC), Sobral, Brazil","institution_ids":["https://openalex.org/I243754102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052938144","display_name":"Minghua Xia","orcid":"https://orcid.org/0000-0002-0820-2227"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Xia","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100321249"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.2385,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54064937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","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/T11392","display_name":"Energy Harvesting in Wireless Networks","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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9988999962806702,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9980000257492065,"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/value","display_name":"Value (mathematics)","score":0.5482615828514099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.523331344127655},{"id":"https://openalex.org/keywords/extreme-value-theory","display_name":"Extreme value theory","score":0.49688389897346497},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4892675578594208},{"id":"https://openalex.org/keywords/energy-harvesting","display_name":"Energy harvesting","score":0.48802533745765686},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22088965773582458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17952269315719604}],"concepts":[{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5482615828514099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.523331344127655},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.49688389897346497},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4892675578594208},{"id":"https://openalex.org/C101518730","wikidata":"https://www.wikidata.org/wiki/Q930236","display_name":"Energy harvesting","level":3,"score":0.48802533745765686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22088965773582458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17952269315719604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2019.8746624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2011606464","https://openalex.org/W2031443728","https://openalex.org/W2032372805","https://openalex.org/W2032896960","https://openalex.org/W2093201673","https://openalex.org/W2102591969","https://openalex.org/W2113989569","https://openalex.org/W2310497731","https://openalex.org/W2327313126","https://openalex.org/W2405158652","https://openalex.org/W2577961947","https://openalex.org/W2591733062","https://openalex.org/W2769572924","https://openalex.org/W2963378276","https://openalex.org/W2972424502"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2898145991","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2903121411","https://openalex.org/W2566010174","https://openalex.org/W2805827740","https://openalex.org/W1908935147","https://openalex.org/W1966708639","https://openalex.org/W1971404201"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,13,26,45,58,71,79,83,90,98,108,129],"end-to-end":[4],"performance":[5],"of":[6,44,82,92],"dual-hop":[7],"amplify-and-forward":[8],"(AF)":[9],"relaying":[10],"systems,":[11],"where":[12],"relays":[14,93],"have":[15],"no":[16],"constant":[17],"power":[18,51],"supplies":[19],"but":[20],"can":[21],"harvest":[22],"energy":[23,36],"from":[24],"both":[25,116],"desired":[27],"signal":[28],"and":[29,50,70,118],"nearby":[30],"co-channel":[31],"interferences":[32],"(CCIs).":[33],"A":[34],"hybrid":[35,109],"harvesting":[37],"(EH)":[38],"protocol,":[39],"which":[40],"is":[41,55,68,75,95,112,123],"a":[42],"combination":[43],"existing":[46],"time":[47],"switching":[48],"(TS)":[49],"splitting":[52],"(PS)":[53],"protocols,":[54],"adopted":[56],"at":[57],"relays.":[59],"To":[60],"enhance":[61],"system":[62,99],"performance,":[63],"an":[64],"opportunistic":[65],"relay":[66],"selection":[67],"exploited":[69],"extreme":[72],"value":[73],"theory":[74],"applied":[76],"to":[77,114,125],"analyze":[78],"asymptotic":[80],"throughput":[81],"system.":[84],"Our":[85],"analysis":[86],"reveals":[87],"that":[88],"when":[89],"number":[91],"(N)":[94],"sufficiently":[96],"large,":[97],"through-":[100],"put":[101],"scales":[102],"with":[103],"ln":[104,105],"N.":[106],"Moreover,":[107],"EH":[110],"protocol":[111,127],"demonstrated":[113],"outperform":[115],"TS":[117],"PS":[119,126],"protocols":[120],"while":[121],"it":[122],"equivalent":[124],"in":[128],"high":[130],"signal-to-noise-ratio":[131],"(SNR)":[132],"region.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
