{"id":"W3016171125","doi":"10.1109/lwc.2020.2986750","title":"Multiuser Scheduling for Asymmetric FSO/RF Links in Satellite-UAV-Terrestrial Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Satellite Communication Systems","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Computer science; Channel state information; Scheduling (production processes); Rayleigh fading; Fading; Beamforming; Computer network; Electronic engineering; Channel (broadcasting); Real-time computing; Wireless; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00095025,0.0005111936,0.0005385507,0.0003733453,0.0006570741,0.0006131162,0.0005922148,0.000433648,0.0007242185],"category_scores_gemma":[0.002406029,0.0001782686,0.0002225564,0.0005773787,0.0005949133,0.0006315955,0.0006016125,0.0003310232,0.0001029382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000946731,"about_ca_system_score_gemma":0.0008298102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718303,"about_ca_topic_score_gemma":0.003276846,"domain_scores_codex":[0.9994549,0.0002101527,0.00001833704,0.00006972728,0.0001335978,0.0001132672],"domain_scores_gemma":[0.9986834,0.0008547238,0.0001866998,0.00007132382,0.0001357793,0.00006798469],"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":[0.0001460985,0.00004318111,0.0007738883,0.00006854201,0.00002480856,0.0002330349,0.00009331648,0.9529358,0.008921835,0.01603356,0.0004195337,0.02030642],"study_design_scores_gemma":[0.000004433492,0.00002953248,0.00008881719,0.000001668009,0.000003608565,0.00002628818,0.00001638376,0.9969972,0.0008441065,0.001857647,0.0001264634,0.000003851727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2448669,0.000940669,0.7491787,0.0002098576,0.00006817862,0.00005837296,0.00005749664,0.0001044031,0.004515342],"genre_scores_gemma":[0.9880086,0.0001543233,0.01133072,0.00002104546,0.00002280502,0.00001587904,0.00001266422,0.000006599137,0.0004272739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002718303,"threshold_uncertainty_score":0.006869018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06133472116220053,"score_gpt":0.275365620096991,"score_spread":0.2140308989347905,"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."}}