{"id":"https://openalex.org/W2955366729","doi":"https://doi.org/10.1109/vtcspring.2019.8746528","title":"Stochastic Geometric Performance Analysis for Cooperative NOMA Systems","display_name":"Stochastic Geometric Performance Analysis for Cooperative NOMA Systems","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2955366729","doi":"https://doi.org/10.1109/vtcspring.2019.8746528","mag":"2955366729"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2019.8746528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746528","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/A5073942779","display_name":"Szu-Liang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Szu-Liang Wang","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Quanzhou, Chin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Quanzhou, Chin","institution_ids":["https://openalex.org/I4210151023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101531825","display_name":"Tsan-Ming Wu","orcid":"https://orcid.org/0000-0003-3491-0566"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsan-Ming Wu","raw_affiliation_strings":["Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.052717,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998999834060669,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998999834060669,"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/T10851","display_name":"Optical Wireless Communication Technologies","score":0.9887999892234802,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/geolocation","display_name":"Geolocation","score":0.8455363512039185},{"id":"https://openalex.org/keywords/noma","display_name":"Noma","score":0.8207443356513977},{"id":"https://openalex.org/keywords/stochastic-geometry","display_name":"Stochastic geometry","score":0.7128172516822815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7060279846191406},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.6249940395355225},{"id":"https://openalex.org/keywords/poisson-point-process","display_name":"Poisson point process","score":0.5842419862747192},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5619091391563416},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5238404273986816},{"id":"https://openalex.org/keywords/nakagami-distribution","display_name":"Nakagami distribution","score":0.5093563795089722},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5088382363319397},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4839527904987335},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.41206198930740356},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3545214533805847},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35393527150154114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27972570061683655},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2689191401004791},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21582600474357605},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08454591035842896}],"concepts":[{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.8455363512039185},{"id":"https://openalex.org/C2775918612","wikidata":"https://www.wikidata.org/wiki/Q994794","display_name":"Noma","level":3,"score":0.8207443356513977},{"id":"https://openalex.org/C31243852","wikidata":"https://www.wikidata.org/wiki/Q1666739","display_name":"Stochastic geometry","level":2,"score":0.7128172516822815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060279846191406},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.6249940395355225},{"id":"https://openalex.org/C16757284","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson point process","level":3,"score":0.5842419862747192},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5619091391563416},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5238404273986816},{"id":"https://openalex.org/C115098869","wikidata":"https://www.wikidata.org/wiki/Q3258347","display_name":"Nakagami distribution","level":4,"score":0.5093563795089722},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5088382363319397},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4839527904987335},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.41206198930740356},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3545214533805847},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35393527150154114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27972570061683655},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2689191401004791},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21582600474357605},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08454591035842896},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.0},{"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.2019.8746528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746528","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":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W604181985","https://openalex.org/W1922937245","https://openalex.org/W1958281780","https://openalex.org/W2148622067","https://openalex.org/W2277419020","https://openalex.org/W2340398802","https://openalex.org/W2490443550","https://openalex.org/W2509696551","https://openalex.org/W2522847968","https://openalex.org/W2549116153","https://openalex.org/W2593306067","https://openalex.org/W3008609509","https://openalex.org/W3099378150","https://openalex.org/W3101450547"],"related_works":["https://openalex.org/W2023833916","https://openalex.org/W4385966294","https://openalex.org/W2963230071","https://openalex.org/W4385516945","https://openalex.org/W2342335616","https://openalex.org/W1607049962","https://openalex.org/W3123062298","https://openalex.org/W1674302630","https://openalex.org/W2430493507","https://openalex.org/W2059270103"],"abstract_inverted_index":{"In":[0,68],"this":[1],"study,":[2],"a":[3,13],"cooperative":[4],"non-orthogonal":[5],"multiple":[6],"access":[7],"(NOMA)":[8],"transmission":[9],"is":[10,26,53,80,107],"investigated,":[11],"and":[12,21,44],"pairing":[14],"rule":[15,79],"based":[16],"on":[17],"the":[18,24,29,38,47,70,74,77,84,90,93,96,104],"geographic":[19,35],"location":[20],"state":[22,40],"of":[23,73,92,101],"users":[25,30,58,106],"proposed.":[27],"Specifically,":[28],"are":[31,59],"located":[32],"within":[33],"non-adjacent":[34],"zones":[36],"at":[37],"steady":[39],"could":[41],"be":[42],"paired":[43,105],"served":[45],"via":[46],"NOMA.":[48],"The":[49],"stochastic":[50],"geometric":[51],"model":[52],"studied":[54],"in":[55,99],"which":[56],"all":[57],"distributed":[60],"as":[61],"an":[62],"independent":[63],"homogeneous":[64],"Poisson":[65],"point":[66],"process.":[67],"addition,":[69],"operation":[71],"probability":[72,98],"NOMA":[75],"for":[76,103],"proposed":[78,94],"analyzed":[81],"by":[82],"using":[83],"Markov":[85],"chain":[86],"model.":[87],"To":[88],"evaluate":[89],"performance":[91],"scheme,":[95],"outage":[97],"terms":[100],"geolocation":[102],"derived":[108],"over":[109],"Nakagami-m":[110],"frequency-selective":[111],"fading":[112],"channels.":[113]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
