{"id":"W3186648349","doi":"10.1109/jphot.2021.3098328","title":"Robust Beamforming and Outage Performance of Uplink Multiuser Satellite-Aerial-Terrestrial Networks With Mixed RF-FSO Channels","year":2021,"lang":"en","type":"article","venue":"IEEE photonics journal","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Shanghai Aerospace Science and Technology Innovation Foundation; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Telecommunications link; Beamforming; Computer science; Fading; Relay; Robustness (evolution); Nakagami distribution; Channel (broadcasting); Electronic engineering; Channel state information; Radio frequency; Computer network; Topology (electrical circuits); Algorithm; Telecommunications; Wireless; Electrical engineering; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002737359,0.0001983727,0.0003364873,0.00009515923,0.0001358928,0.0001242815,0.000317872,0.0001870115,0.00001738658],"category_scores_gemma":[0.00004184584,0.0001756356,0.00006073185,0.0002311428,0.0001236409,0.0002527454,0.00008930935,0.000776145,0.000002212259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006048963,"about_ca_system_score_gemma":0.00005167372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000025356,"about_ca_topic_score_gemma":0.00001017292,"domain_scores_codex":[0.9988526,0.00002584629,0.0004567446,0.0001470516,0.0001835956,0.0003341463],"domain_scores_gemma":[0.9991217,0.0001247774,0.000137261,0.0004071679,0.0001065646,0.0001025007],"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":[0.0001373319,0.00006359824,0.001004861,0.000085574,0.0001788048,0.00004323148,0.0002950196,0.9374802,0.02332816,0.0000663169,0.00004266445,0.03727428],"study_design_scores_gemma":[0.001146712,0.0001218557,0.0003410468,0.000236618,0.00003171614,0.000245296,0.0001724792,0.8376238,0.1588758,0.00003199359,0.0009052178,0.0002674568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762197,0.00250269,0.01986827,0.00006594193,0.0009512908,0.0001100833,0.000002261224,0.0001411729,0.0001386211],"genre_scores_gemma":[0.9559362,0.01356099,0.03031921,0.00001062772,0.00009918206,0.000008466417,0.000004417836,0.00004215257,0.00001872958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1355476,"threshold_uncertainty_score":0.7162211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367827394272575,"score_gpt":0.2117192959168805,"score_spread":0.1880410219741547,"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."}}