{"id":"W3157110449","doi":"10.1109/lcomm.2021.3077686","title":"Outage Constrained Robust Secure Beamforming in Cognitive Satellite-Aerial Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Satellite Communication Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Shanghai Aerospace Science and Technology Innovation Foundation; Nanjing University of Posts and Telecommunications","keywords":"Computer science; Beamforming; Transmitter power output; Quality of service; Cognitive radio; Secure transmission; Physical layer; Multicast; Transmission (telecommunications); Channel (broadcasting); Channel state information; Mathematical optimization; Computer network; Wireless; Telecommunications; Transmitter; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003855014,0.0002531488,0.0003329594,0.0001854394,0.0001748233,0.0001291798,0.001046634,0.0001603902,0.00005176129],"category_scores_gemma":[0.00008801527,0.0003169507,0.0001056091,0.0007726141,0.0002412847,0.0002644935,0.0002052404,0.0007056071,0.00005978424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120219,"about_ca_system_score_gemma":0.00004795796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003289506,"about_ca_topic_score_gemma":0.0004635891,"domain_scores_codex":[0.9981874,0.0003555846,0.0006619524,0.0002374252,0.0001678074,0.0003898588],"domain_scores_gemma":[0.9966421,0.0008194993,0.00009537254,0.002218808,0.0001292541,0.00009492663],"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":[0.0001049917,0.0007934756,0.02445927,0.0004559871,0.001221833,0.0002688208,0.02759608,0.6085548,0.2148529,0.004440244,0.004251697,0.1129999],"study_design_scores_gemma":[0.009402496,0.00006482996,0.01176309,0.003389061,0.000300979,0.0005716969,0.01875841,0.6114593,0.02107478,0.0002184999,0.3182384,0.004758489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6220173,0.07008732,0.2147565,0.01354556,0.005186408,0.003126458,0.0003077964,0.003141097,0.06783155],"genre_scores_gemma":[0.9862934,0.004672488,0.007442489,0.0008281709,0.0001195798,0.000141636,0.0003949137,0.00006663457,0.00004062706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3642761,"threshold_uncertainty_score":0.9999282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04769227928270398,"score_gpt":0.2658641245209259,"score_spread":0.218171845238222,"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."}}