{"id":"https://openalex.org/W2595271150","doi":"https://doi.org/10.1109/tvt.2017.2682903","title":"Cooperative Multicast With Location Aware Distributed Mobile Relay Selection: Performance Analysis and Optimized Design","display_name":"Cooperative Multicast With Location Aware Distributed Mobile Relay Selection: Performance Analysis and Optimized Design","publication_year":2017,"publication_date":"2017-03-16","ids":{"openalex":"https://openalex.org/W2595271150","doi":"https://doi.org/10.1109/tvt.2017.2682903","mag":"2595271150"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2017.2682903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2017.2682903","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5040456231","display_name":"Yiqing Zhou","orcid":"https://orcid.org/0000-0002-4553-5207"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqing Zhou","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338932","display_name":"Hang Liu","orcid":"https://orcid.org/0000-0002-1379-6314"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Liu","raw_affiliation_strings":["Huawei Technologies Co., Ltd, Beijing 100036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd, Beijing 100036, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012117289","display_name":"Zhengang Pan","orcid":"https://orcid.org/0009-0006-1856-7170"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengang Pan","raw_affiliation_strings":["Spreadtrum Communications, Inc., Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spreadtrum Communications, Inc., Beijing 100191, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077427145","display_name":"Lin Tian","orcid":"https://orcid.org/0000-0003-0791-4297"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Tian","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106716610","display_name":"Jinglin Shi","orcid":"https://orcid.org/0009-0004-3770-608X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinglin Shi","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4175,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.9500618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"66","issue":"9","first_page":"8291","last_page":"8302"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9986000061035156,"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/poisson-point-process","display_name":"Poisson point process","score":0.8109610080718994},{"id":"https://openalex.org/keywords/multicast","display_name":"Multicast","score":0.7856707572937012},{"id":"https://openalex.org/keywords/relay","display_name":"Relay","score":0.7199223637580872},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.6302136182785034},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6179560422897339},{"id":"https://openalex.org/keywords/stochastic-geometry","display_name":"Stochastic geometry","score":0.5939697027206421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5446627736091614},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4765644371509552},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.45563948154449463},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.4392241835594177},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.42248672246932983},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3607601523399353},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.3249583840370178},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3205111622810364},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3099055588245392},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.2900574207305908},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2826874852180481},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2669062912464142},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22418063879013062},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1366254687309265},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11137410998344421},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06591060757637024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0650007426738739}],"concepts":[{"id":"https://openalex.org/C16757284","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson point process","level":3,"score":0.8109610080718994},{"id":"https://openalex.org/C32295351","wikidata":"https://www.wikidata.org/wiki/Q899288","display_name":"Multicast","level":2,"score":0.7856707572937012},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.7199223637580872},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.6302136182785034},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6179560422897339},{"id":"https://openalex.org/C31243852","wikidata":"https://www.wikidata.org/wiki/Q1666739","display_name":"Stochastic geometry","level":2,"score":0.5939697027206421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5446627736091614},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4765644371509552},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.45563948154449463},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.4392241835594177},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.42248672246932983},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3607601523399353},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.3249583840370178},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3205111622810364},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3099055588245392},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2900574207305908},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2826874852180481},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2669062912464142},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22418063879013062},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1366254687309265},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11137410998344421},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06591060757637024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0650007426738739},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/tvt.2017.2682903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2017.2682903","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4978669353","display_name":"5G\u81f4\u5bc6\u5f02\u6784\u8702\u7a9d\u7f51\u7edc\u6027\u80fd\u5206\u6790\u4e0e\u5e72\u6270\u7ba1\u63a7\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61571425","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1929975303","https://openalex.org/W1967000567","https://openalex.org/W1974255293","https://openalex.org/W1994080576","https://openalex.org/W2023472100","https://openalex.org/W2083100155","https://openalex.org/W2090228269","https://openalex.org/W2109830484","https://openalex.org/W2113241087","https://openalex.org/W2150166076","https://openalex.org/W2158817550","https://openalex.org/W2163068306","https://openalex.org/W2211147027","https://openalex.org/W2520657702","https://openalex.org/W3099787110"],"related_works":["https://openalex.org/W2972242150","https://openalex.org/W2023833916","https://openalex.org/W2963230071","https://openalex.org/W1964137838","https://openalex.org/W2056605887","https://openalex.org/W1607049962","https://openalex.org/W1871594675","https://openalex.org/W2952796263","https://openalex.org/W87902424","https://openalex.org/W1985655499"],"abstract_inverted_index":{"Mobile":[0],"relay":[1],"(MR)":[2],"selection":[3,29,87,101],"is":[4,31,128],"critical":[5],"to":[6,52,65],"the":[7,18,39,46,60,78,94,109,122,131],"performance":[8,80,142],"and":[9,21,117,140],"realization":[10],"of":[11,62,81,113],"two-stage":[12,82,114],"cooperative":[13],"multicast":[14],"(CM).":[15],"Targeting":[16],"at":[17,38,107],"energy":[19,138],"efficiency":[20,139],"simplified":[22],"realization,":[23],"a":[24],"location-aware":[25],"distributed":[26,145],"(LAD)":[27],"MR":[28,86,100,134,146],"method":[30],"proposed,":[32],"where":[33],"successful":[34],"mobile":[35],"stations":[36],"(MSs)":[37],"first":[40],"stage":[41],"that":[42,59,121],"are":[43],"farther":[44],"from":[45],"base":[47],"station":[48],"would":[49],"activate":[50],"themselves":[51],"be":[53,89,104],"MRs":[54,63],"with":[55,84],"higher":[56],"probabilities.":[57],"Assuming":[58],"number":[61],"close":[64],"an":[66,97],"unsuccessful":[67],"MS":[68],"follows":[69],"Poisson":[70],"Point":[71],"Process":[72],"distribution,":[73],"based":[74,124],"on":[75,125],"stochastic":[76,126],"geometry,":[77],"coverage":[79,141],"CM":[83],"LAD":[85,99,133],"can":[88,103],"numerically":[90],"evaluated.":[91],"Moreover,":[92],"given":[93],"analytical":[95],"results,":[96],"optimized":[98,132],"scheme":[102,135],"designed,":[105],"aiming":[106],"minimizing":[108],"total":[110],"power":[111],"consumption":[112],"CM.":[115],"Numerical":[116],"simulation":[118],"results":[119],"verify":[120],"analysis":[123],"geometry":[127],"accurate.":[129],"Overall,":[130],"provides":[136],"better":[137],"than":[143],"existing":[144],"schemes.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
