{"id":"https://openalex.org/W7118503204","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310132","title":"Air-Ground Model Collaboration for Low-Altitude Intelligent Networks with Heterogeneous Computational Resources","display_name":"Air-Ground Model Collaboration for Low-Altitude Intelligent Networks with Heterogeneous Computational Resources","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7118503204","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310132"},"language":null,"primary_location":{"id":"doi:10.1109/vtc2025-fall65116.2025.11310132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083926901","display_name":"Lu Cheng","orcid":"https://orcid.org/0009-0000-9109-0010"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Cheng","raw_affiliation_strings":["Pengcheng Laboratory,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027492960","display_name":"Shuhang Zhang","orcid":"https://orcid.org/0000-0003-1313-2726"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhang Zhang","raw_affiliation_strings":["Peking University,School of Electronics,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Electronics,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122256491","display_name":"Hongliang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Zhang","raw_affiliation_strings":["Peking University,School of Electronics,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Electronics,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669228","display_name":"Qingyu Liu","orcid":"https://orcid.org/0000-0003-1487-7682"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyu Liu","raw_affiliation_strings":["Peking University Shenzhen Graduate School,School of Electronic and Computer Engineering,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University Shenzhen Graduate School,School of Electronic and Computer Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067067501","display_name":"Mohammed Karmoose","orcid":"https://orcid.org/0000-0002-0197-1226"},"institutions":[{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohammed Karmoose","raw_affiliation_strings":["Nile University,Giza,Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nile University,Giza,Egypt","institution_ids":["https://openalex.org/I57629906"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071310774","display_name":"Kangjun Liu","orcid":"https://orcid.org/0000-0001-7054-3981"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangjun Liu","raw_affiliation_strings":["Pengcheng Laboratory,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122158118","display_name":"Yaowei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowei Wang","raw_affiliation_strings":["Pengcheng Laboratory,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":0.67953346,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9563000202178955,"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":0.9563000202178955,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.009800000116229057,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.009499999694526196,"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/inference","display_name":"Inference","score":0.6345000267028809},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.49470001459121704},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4187000095844269},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.4101000130176544},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.39959999918937683},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.3889000117778778},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.384799987077713},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.3693999946117401},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3668999969959259},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.36469998955726624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791700005531311},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6345000267028809},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5864999890327454},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.39959999918937683},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.384799987077713},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3668999969959259},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36640000343322754},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.36469998955726624},{"id":"https://openalex.org/C22607594","wikidata":"https://www.wikidata.org/wiki/Q5375150","display_name":"Enabling","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.3447999954223633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3359000086784363},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.33559998869895935},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32910001277923584},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.32739999890327454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30570000410079956},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.2567000091075897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-fall65116.2025.11310132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4516611695289612,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W3084390073","https://openalex.org/W3217080256","https://openalex.org/W4210739474","https://openalex.org/W4224227775","https://openalex.org/W4226066991","https://openalex.org/W4400111235","https://openalex.org/W4402774450","https://openalex.org/W4405907183"],"related_works":[],"abstract_inverted_index":{"The":[0],"Low-Altitude":[1],"Intelligent":[2],"Network":[3],"(LAIN)":[4],"serves":[5],"as":[6,20,67,104],"a":[7,131],"critical":[8],"enabler":[9],"for":[10],"low-altitude":[11],"economic":[12],"development,":[13],"showing":[14],"significant":[15],"potential":[16],"in":[17],"areas":[18],"such":[19],"environmental":[21],"monitoring.":[22],"These":[23],"applications":[24],"typically":[25],"require":[26],"extensive":[27],"computational":[28,60,84],"resources":[29,85],"to":[30,36],"drive":[31],"large-scale":[32],"models,":[33,115],"posing":[34],"challenges":[35],"resource-constrained":[37],"aerial":[38,42],"platforms":[39],"like":[40],"unmanned":[41],"vehicles":[43],"(UAVs).":[44],"Although":[45],"air-ground":[46,77],"model":[47,78,125],"collaboration":[48,79],"has":[49],"been":[50],"studied":[51],"by":[52,152],"some":[53],"early":[54],"studies,":[55],"most":[56],"approaches":[57],"assume":[58],"homogeneous":[59],"resources,":[61],"overlooking":[62],"the":[63,117,121,144,148,154],"heterogeneity":[64],"among":[65,86],"UAVs":[66,88,95,102],"end":[68,105],"nodes.":[69],"To":[70],"address":[71],"this":[72,100],"challenge,":[73],"we":[74],"introduce":[75],"an":[76],"framework":[80,167],"that":[81,135,165],"considers":[82],"heterogeneous":[83],"multiple":[87],"and":[89,96,110,127,140,175],"limited":[90],"wireless":[91],"transmission":[92,139],"bandwidth":[93],"between":[94],"ground":[97,122],"servers.":[98],"In":[99],"framework,":[101],"working":[103],"nodes":[106],"handle":[107],"data":[108,138,176],"collection":[109],"local":[111],"inference":[112,126,150],"with":[113,143],"small":[114],"while":[116],"edge":[118],"servers":[119],"on":[120,160],"perform":[123],"large":[124],"updates.":[128],"We":[129],"propose":[130],"joint":[132],"optimization":[133],"strategy":[134],"optimizes":[136],"both":[137],"resource":[141],"allocation,":[142],"goal":[145],"of":[146],"improving":[147],"framework\u2019s":[149],"accuracy":[151],"maximizing":[153],"mean":[155],"average":[156],"precision":[157],"(mAP).":[158],"Simulations":[159],"object":[161],"detection":[162],"tasks":[163],"show":[164],"our":[166],"outperforms":[168],"existing":[169],"methods":[170],"under":[171],"different":[172],"communication":[173],"bandwidths":[174],"scales.":[177]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-08T00:00:00"}
