{"id":"https://openalex.org/W2982035226","doi":"https://doi.org/10.1109/pimrcw.2019.8880836","title":"Fine-Grained Task Offloading for UAV via MEC-Enabled Networks","display_name":"Fine-Grained Task Offloading for UAV via MEC-Enabled Networks","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2982035226","doi":"https://doi.org/10.1109/pimrcw.2019.8880836","mag":"2982035226"},"language":"en","primary_location":{"id":"doi:10.1109/pimrcw.2019.8880836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrcw.2019.8880836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 30th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC Workshops)","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/A5073368359","display_name":"Shuyang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuyang Huang","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058088783","display_name":"Linpei Li","orcid":"https://orcid.org/0000-0002-4674-1723"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linpei Li","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088793239","display_name":"Qi Pan","orcid":"https://orcid.org/0000-0003-3354-0559"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Pan","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763401","display_name":"Wei Zheng","orcid":"https://orcid.org/0009-0007-7364-8325"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zheng","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101520824","display_name":"Zhaoming Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoming Lu","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073368359"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.1901,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84106338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T11133","display_name":"UAV Applications and Optimization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.8557600378990173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8083569407463074},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.798178493976593},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6524555087089539},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.6451500058174133},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.6441199779510498},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6070265769958496},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5106726288795471},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5056843757629395},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4743952751159668},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46811503171920776},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4615153968334198},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4325975179672241},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.42451798915863037},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41123533248901367},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3680241107940674},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3260042369365692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21966344118118286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2102627456188202},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12640619277954102},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10065469145774841}],"concepts":[{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.8557600378990173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083569407463074},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.798178493976593},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6524555087089539},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.6451500058174133},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.6441199779510498},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6070265769958496},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5106726288795471},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5056843757629395},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4743952751159668},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46811503171920776},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4615153968334198},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4325975179672241},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.42451798915863037},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41123533248901367},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3680241107940674},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3260042369365692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21966344118118286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2102627456188202},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12640619277954102},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10065469145774841},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrcw.2019.8880836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrcw.2019.8880836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 30th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC Workshops)","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":13,"referenced_works":["https://openalex.org/W901642097","https://openalex.org/W1588537656","https://openalex.org/W2031834036","https://openalex.org/W2778138942","https://openalex.org/W2792913532","https://openalex.org/W2885614314","https://openalex.org/W2886836235","https://openalex.org/W2902997214","https://openalex.org/W2949529289","https://openalex.org/W2950347471","https://openalex.org/W2963009535","https://openalex.org/W2964335392","https://openalex.org/W6624181587"],"related_works":["https://openalex.org/W4200420173","https://openalex.org/W3120617837","https://openalex.org/W3127808443","https://openalex.org/W2916011811","https://openalex.org/W3034137700","https://openalex.org/W4362496467","https://openalex.org/W2896883851","https://openalex.org/W2917127270","https://openalex.org/W2902693277","https://openalex.org/W4378977105"],"abstract_inverted_index":{"The":[0],"ground":[1,117],"mobile":[2],"edge":[3],"computing":[4],"(MEC)":[5],"system":[6],"has":[7,23],"been":[8],"effectively":[9],"utilized":[10],"to":[11,60,115],"undertake":[12],"the":[13,26,38,46,62,63,67,71,79,90,103,108,116,124,130,141,150,159],"computation-intensive":[14],"tasks":[15],"offloaded":[16],"from":[17],"unmanned":[18],"aerial":[19,27],"vehicles":[20],"(UAVs),":[21],"which":[22,136],"significantly":[24],"mitigated":[25],"calculation":[28,114],"pressure.":[29],"However,":[30],"some":[31],"external":[32],"factors,":[33],"like":[34],"environmental":[35],"conditions":[36,166],"and":[37,118,143,180],"distribution":[39],"of":[40,48,69,81,84,92,161,167],"MEC":[41,98],"servers":[42,99],"can":[43],"deeply":[44],"affect":[45],"performance":[47],"offloading":[49,56,94,162,179],"algorithms.":[50],"In":[51],"this":[52],"paper,":[53],"an":[54],"enhanced":[55],"algorithm":[57],"is":[58,76,100,153],"proposed":[59,151],"minimize":[61],"completion":[64],"time.":[65],"For":[66],"sake":[68],"practice,":[70],"air-to-ground":[72],"(A2G)":[73],"channel":[74],"model":[75],"rebuilt":[77],"with":[78,96,133,155],"line":[80],"sight":[82,85],"(LoS)/non-line":[83],"(NLoS)":[86],"status":[87],"considered.":[88],"Furthermore,":[89],"boundary":[91],"effective":[93],"area":[95],"dense":[97],"denoted":[101],"by":[102],"round":[104,109,125],"margin":[105],"raised.":[106],"Within":[107],"margin,":[110,126],"UAV":[111,127],"offloads":[112],"its":[113,120],"plans":[119],"trajectory":[121],"simultaneously.":[122],"Outside":[123],"flies":[128],"along":[129],"straight":[131],"path":[132],"maximum":[134],"speed,":[135],"avoids":[137],"inefficient":[138],"operations":[139],"within":[140],"sparse":[142],"deviated":[144],"area.":[145],"Simulation":[146],"results":[147],"show":[148],"that":[149],"scheme":[152],"validated":[154],"better":[156],"performance.":[157],"Moreover,":[158],"differences":[160],"effectiveness":[163],"under":[164],"different":[165],"sparsity":[168],"or":[169],"deviation":[170],"provide":[171],"potential":[172],"instructions":[173],"for":[174],"future":[175],"trade-off":[176],"research":[177],"between":[178],"local":[181],"computing.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
