{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001199755,0.001711965,0.001682265,0.0005996653,0.0005461533,0.001517038,0.001261331,0.001696775,0.003560989],"category_scores_gemma":[0.003096825,0.0006132915,0.0008607185,0.001063737,0.001239164,0.001310337,0.001764444,0.002008836,0.00092493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112443,"about_ca_system_score_gemma":0.002443915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948374,"about_ca_topic_score_gemma":0.003373958,"domain_scores_codex":[0.999498,0.0001548026,0.00002702212,0.00009114202,0.0001282982,0.0001006079],"domain_scores_gemma":[0.9983575,0.001101217,0.0001601607,0.0001005134,0.0002225162,0.00005797483],"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":[0.0000676237,0.00002165648,0.0001656139,0.0000830904,0.00002149465,0.00006854923,0.00008406327,0.9345333,0.001488215,0.03014456,0.0009488828,0.03237301],"study_design_scores_gemma":[0.00001118163,0.00002916538,0.00002450314,0.000009815377,0.000004482742,0.00002151177,0.00001887543,0.9890829,0.0005956994,0.009881917,0.0003131713,0.000006849415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004152418,0.000128461,0.99345,0.00009503932,0.00001950708,0.00003344259,0.00003136241,0.0001451156,0.001944611],"genre_scores_gemma":[0.4633726,0.0009281539,0.5274124,0.0001444565,0.00009920037,0.0004631337,0.0003480244,0.0002181956,0.007013879],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003560989,"threshold_uncertainty_score":0.0119127,"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."}}