{"id":"W3044105291","doi":"10.1109/tsp.2020.3010451","title":"Algorithms for Globally-Optimal Secure Signaling Over Gaussian MIMO Wiretap Channels Under Interference Constraints","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Transmitter power output; Mathematical optimization; Covariance matrix; Computer science; Covariance; Constraint (computer-aided design); Channel (broadcasting); Convergence (economics); Gaussian; Mathematics; Algorithm; Telecommunications; Transmitter","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":[0.0001564648,0.0003576649,0.0003400504,0.0001295505,0.0002820833,0.0002440066,0.0005011786,0.0002183638,0.0002265802],"category_scores_gemma":[0.000003792425,0.0003941076,0.0001630671,0.0003885253,0.0001730472,0.0004858547,0.000004599018,0.0005990686,0.00001634427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276527,"about_ca_system_score_gemma":0.0000844704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004523917,"about_ca_topic_score_gemma":0.000004206807,"domain_scores_codex":[0.9984004,0.00004537026,0.0004597637,0.0003890063,0.000292862,0.0004125721],"domain_scores_gemma":[0.9992199,0.0001146595,0.00008929439,0.0002215354,0.0001387186,0.0002158701],"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":[0.0001676522,0.0001781545,0.000003244073,0.0007535036,0.0002287066,0.000008996129,0.005842869,0.6340407,0.08654919,0.0002447078,0.0003568142,0.2716255],"study_design_scores_gemma":[0.0005573662,0.0001553315,0.00000360856,0.0004064702,0.00005921977,0.00001255143,0.0006020137,0.7701434,0.2269181,0.0003365159,0.0003078826,0.0004975052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007457117,0.0002484166,0.9894921,0.0005468063,0.0001337632,0.0004384282,0.00007362342,0.001227806,0.0003819439],"genre_scores_gemma":[0.9777625,0.00003095586,0.02129156,0.0005590825,0.000112414,0.0001331789,0.00001117151,0.00008608482,0.00001311703],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9703053,"threshold_uncertainty_score":0.9998511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0402973104580648,"score_gpt":0.2803710837485797,"score_spread":0.2400737732905149,"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."}}