{"id":"W2145921837","doi":"10.1109/ausctw.2011.5728730","title":"Resource allocation for secure OFDMA communication systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Subcarrier; Orthogonal frequency-division multiple access; Telecommunications link; Resource allocation; Scheduling (production processes); Frequency-division multiple access; Base station; Mathematical optimization; Iterative method; Optimization problem; Computer network; Maximization; Artificial noise; Orthogonal frequency-division multiplexing; Secrecy; Transmitter; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007533937,0.0005825137,0.0006615363,0.0002936437,0.0005951432,0.001080423,0.0005036907,0.0005675899,0.001869409],"category_scores_gemma":[0.00202595,0.0002713525,0.0002465617,0.0005831348,0.0006848096,0.001074646,0.0009162429,0.0006893484,0.0005474884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008649037,"about_ca_system_score_gemma":0.00104742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543448,"about_ca_topic_score_gemma":0.001396968,"domain_scores_codex":[0.999295,0.0003231185,0.0000252954,0.00008650683,0.0001835942,0.00008657071],"domain_scores_gemma":[0.9993489,0.0004084244,0.00007866227,0.00005618646,0.00008145214,0.00002635751],"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":[0.0001263574,0.00006306885,0.0003001266,0.0001091481,0.00003768514,0.000222132,0.0001151105,0.8255091,0.006925765,0.1107031,0.001921661,0.0539666],"study_design_scores_gemma":[0.00001043476,0.00002051489,0.00005873891,0.00000642427,0.000005828906,0.00004081808,0.00001982719,0.9803719,0.0007908475,0.01733352,0.001334991,0.000006207596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02237394,0.001034733,0.9700826,0.0003147657,0.00007201179,0.00004626158,0.00004426991,0.00009751441,0.005933873],"genre_scores_gemma":[0.865225,0.001127042,0.1294036,0.00008909974,0.0001023318,0.0001483422,0.0000620211,0.00003910637,0.003803498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001869409,"threshold_uncertainty_score":0.006275356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03807838911643079,"score_gpt":0.2309614057422897,"score_spread":0.1928830166258589,"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."}}