{"id":"W4389332149","doi":"10.1109/tcc.2023.3339394","title":"Integrated Computation Offloading, UAV Trajectory Control, Edge-Cloud and Radio Resource Allocation in SAGIN","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Ministère de la Défense Nationale; Innovation for Defence Excellence and Security","keywords":"Computer science; Computation offloading; Cloud computing; Trajectory optimization; Scheduling (production processes); Resource allocation; Computation; Optimization problem; Convex optimization; Edge computing; Mathematical optimization; Server; Real-time computing; Distributed computing; Optimal control; Computer network; Regular polygon; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003421372,0.0006889422,0.0005072061,0.0001624237,0.0005268709,0.000863224,0.0006422027,0.0005765989,0.000845923],"category_scores_gemma":[0.000562741,0.0002026047,0.0002604724,0.0003640807,0.0006620658,0.0007212187,0.0007476164,0.0005589518,0.00009810259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006858844,"about_ca_system_score_gemma":0.0007211874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005279951,"about_ca_topic_score_gemma":0.006271489,"domain_scores_codex":[0.9996994,0.00009009179,0.00000731924,0.00006636152,0.00005772819,0.00007926422],"domain_scores_gemma":[0.9997966,0.00009053156,0.00004054363,0.00001695146,0.00003017361,0.00002528821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009687074,0.00004627422,0.0007415623,0.00004226556,0.00001561937,0.0001544619,0.00004103894,0.9782755,0.00319502,0.005502429,0.0004552884,0.01143364],"study_design_scores_gemma":[0.000003674226,0.00003614912,0.0001431652,0.000002060749,0.000003512503,0.0000179009,0.00002246439,0.9980562,0.000419617,0.001021094,0.0002718999,0.000002176263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1699011,0.0005533827,0.8206772,0.0002730479,0.00006702752,0.00007254436,0.0000614064,0.0001873013,0.008207146],"genre_scores_gemma":[0.9787883,0.000127977,0.01970583,0.00004476515,0.00001337426,0.0000314303,0.00002873411,0.00001597386,0.001243568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005279951,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139100052488547,"score_gpt":0.2218120329281671,"score_spread":0.2104210324032816,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}