{"id":"https://openalex.org/W2898199406","doi":"https://doi.org/10.1145/3242102.3242113","title":"GreenLoading","display_name":"GreenLoading","publication_year":2018,"publication_date":"2018-10-25","ids":{"openalex":"https://openalex.org/W2898199406","doi":"https://doi.org/10.1145/3242102.3242113","mag":"2898199406"},"language":"en","primary_location":{"id":"doi:10.1145/3242102.3242113","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3242102.3242113","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3242102.3242113","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3242102.3242113","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084776757","display_name":"Pengfei Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pengfei Cui","raw_affiliation_strings":["Southern Methodist University, Dallas, TX, USA"],"affiliations":[{"raw_affiliation_string":"Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347293","display_name":"Shu Chen","orcid":"https://orcid.org/0000-0003-0057-2036"},"institutions":[{"id":"https://openalex.org/I118136607","display_name":"General Motors (United States)","ror":"https://ror.org/05addee68","country_code":"US","type":"company","lineage":["https://openalex.org/I118136607"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shu Chen","raw_affiliation_strings":["General Motors, Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"General Motors, Detroit, MI, USA","institution_ids":["https://openalex.org/I118136607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086620569","display_name":"Joseph Camp","orcid":"https://orcid.org/0000-0002-9307-1312"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Camp","raw_affiliation_strings":["Southern Methodist University, Dallas, TX, USA"],"affiliations":[{"raw_affiliation_string":"Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084776757"],"corresponding_institution_ids":["https://openalex.org/I178169726"],"apc_list":null,"apc_paid":null,"fwci":0.2617,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5852217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9991000294685364,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9991000294685364,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9988999962806702,"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/T12238","display_name":"Green IT and Sustainability","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/burstiness","display_name":"Burstiness","score":0.7903965711593628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.748619794845581},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5654147267341614},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5276300311088562},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.24756190180778503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10159242153167725}],"concepts":[{"id":"https://openalex.org/C2781023610","wikidata":"https://www.wikidata.org/wiki/Q17006304","display_name":"Burstiness","level":3,"score":0.7903965711593628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.748619794845581},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5654147267341614},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5276300311088562},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.24756190180778503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10159242153167725}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3242102.3242113","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3242102.3242113","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3242102.3242113","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3242102.3242113","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3242102.3242113","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3242102.3242113","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G656230407","display_name":null,"funder_award_id":"CNS-1526269","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8696284546","display_name":"NeTS: Small: Channel Recognition for Optimized Links And Networks (CROLA)","funder_award_id":"1526269","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2898199406.pdf","grobid_xml":"https://content.openalex.org/works/W2898199406.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2005108639","https://openalex.org/W2012423440","https://openalex.org/W2015198187","https://openalex.org/W2037759417","https://openalex.org/W2073072860","https://openalex.org/W2077367568","https://openalex.org/W2081180063","https://openalex.org/W2084163885","https://openalex.org/W2088801701","https://openalex.org/W2089321851","https://openalex.org/W2092314591","https://openalex.org/W2096246895","https://openalex.org/W2105766965","https://openalex.org/W2109849514","https://openalex.org/W2113000322","https://openalex.org/W2125890412","https://openalex.org/W2126311411","https://openalex.org/W2163238639","https://openalex.org/W2169090952","https://openalex.org/W2181279676","https://openalex.org/W2181352433","https://openalex.org/W2419276856","https://openalex.org/W2514420279","https://openalex.org/W2524085435","https://openalex.org/W2765963341","https://openalex.org/W4237513721"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1843717240","https://openalex.org/W2340440348","https://openalex.org/W2508200300","https://openalex.org/W2083756677","https://openalex.org/W2737070158","https://openalex.org/W2138256111","https://openalex.org/W1574103160","https://openalex.org/W1591572210"],"abstract_inverted_index":{"Cellular":[0,98],"networks":[1,30,86],"are":[2,24,72],"susceptible":[3],"to":[4,48,63,90,103,118,141,149,164,177,217],"being":[5],"severely":[6],"capacity-constrained":[7],"during":[8],"peak":[9,221],"traffic":[10,111,222],"hours":[11],"or":[12],"at":[13,94,220],"special":[14],"events":[15],"such":[16],"as":[17],"sports":[18],"and":[19,28,46,55,66,84,110,169,189,215],"concerts.":[20],"Many":[21],"other":[22],"applications":[23],"emerging":[25,151],"for":[26,36,53,181],"LTE":[27],"5G":[29],"that":[31,42,76,229],"inject":[32],"machine-to-machine":[33],"(M2M)":[34],"communications":[35],"Internet":[37],"of":[38,87,108,116,147,186,205,232,241],"Things":[39],"(IoT)":[40],"devices":[41],"sense":[43],"the":[44,57,114,145,150,184,227,238],"environment":[45],"react":[47],"diurnal":[49],"patterns":[50],"observed.":[51],"Both":[52],"users":[54],"devices,":[56],"high":[58,106],"congestion":[59],"levels":[60,107],"frequently":[61,73],"lead":[62],"numerous":[64],"retransmissions":[65],"severe":[67],"battery":[68],"depletion.":[69],"However,":[70],"there":[71],"social":[74,85,127],"cues":[75],"could":[77],"be":[78,123],"gleaned":[79],"from":[80,82],"interactions":[81],"websites":[83],"shared":[88,134],"interest":[89,135],"a":[91,95,138,171,212,230,242],"particular":[92,96],"region":[93],"time.":[97],"network":[99],"operators":[100],"have":[101],"sought":[102],"address":[104],"these":[105,126],"fluctuations":[109],"burstiness":[112],"via":[113,144,209],"use":[115,146,185],"offloading":[117,148],"unlicensed":[119],"bands,":[120],"which":[121],"may":[122],"instructed":[124],"by":[125],"cues.":[128],"In":[129],"this":[130],"paper,":[131],"we":[132,198,225],"leverage":[133],"information":[136],"in":[137,237],"given":[139],"area":[140],"conserve":[142],"power":[143,167,207,239],"Citizens":[152],"Radio":[153],"Band":[154],"Service":[155],"(CBRS).":[156],"Our":[157],"GreenLoading":[158,210],"framework":[159],"enables":[160],"hierarchical":[161],"data":[162,179,192],"delivery":[163],"significantly":[165],"reduce":[166],"consumption":[168],"includes":[170],"Broker":[172],"Priority":[173],"Assignment":[174],"(BPA)":[175],"algorithm":[176],"select":[178],"brokers":[180],"users.":[182],"With":[183],"in-field":[187],"measurements":[188],"web-based":[190],"Google":[191],"across":[193],"four":[194],"diverse":[195],"U.S.":[196],"cities,":[197],"show":[199],"that,":[200],"on":[201],"average,":[202],"an":[203],"order":[204],"magnitude":[206],"savings":[208],"over":[211],"24-hour":[213],"period":[214],"up":[216],"35":[218],"times":[219,234],"times.":[223],"Finally,":[224],"consider":[226],"role":[228],"relaxation":[231],"wait":[233],"can":[235],"play":[236],"efficiency":[240],"GreenLoaded":[243],"network.":[244]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2018-11-02T00:00:00"}
