{"id":"W2004443711","doi":"10.1109/glocomw.2014.7063617","title":"Impact of estimated CSI quantization on secrecy rate loss in pilot-aided MIMO systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial noise; Channel state information; Computer science; MIMO; Secrecy; Imperfect; Transmitter; Precoding; Beamforming; Quantization (signal processing); Transmitter power output; Physical layer; Upper and lower bounds; Telecommunications; Channel (broadcasting); Control theory (sociology); Wireless; Algorithm; Computer security; Mathematics; Artificial intelligence","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":[0.0003649926,0.0001301988,0.0002328519,0.0002179051,0.00001465953,0.00002537635,0.0002183343,0.00007146108,0.00002451396],"category_scores_gemma":[0.00008923792,0.0001196947,0.00003619563,0.0003101813,0.00002126295,0.0001276674,0.00002545453,0.0001246589,0.0000233811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014923,"about_ca_system_score_gemma":0.00001111149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008037708,"about_ca_topic_score_gemma":0.0000712819,"domain_scores_codex":[0.9991759,0.0001345511,0.0003479275,0.0001005552,0.00009781944,0.000143253],"domain_scores_gemma":[0.9991763,0.000155484,0.00006084614,0.0004963829,0.00007270323,0.00003823857],"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":[0.00009714583,0.0003615129,0.06281831,0.0004992065,0.0001025866,0.000002350466,0.0007955353,0.7314855,0.116304,0.08428015,0.001382924,0.001870807],"study_design_scores_gemma":[0.0003567755,0.000187069,0.04462265,0.0002296812,0.000003600882,0.00000156893,0.00001183178,0.9337413,0.02013023,0.000500349,0.000047237,0.0001677062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513525,0.00005727514,0.04139077,0.00001842507,0.00004933259,0.0002523996,0.000004960856,0.0007675798,0.00610669],"genre_scores_gemma":[0.9991004,0.00008635494,0.0006928092,0.000007316592,0.000009230065,0.00002311491,0.00003301091,0.00003193746,0.00001579939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2022558,"threshold_uncertainty_score":0.4881009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178518761881063,"score_gpt":0.3015566450822124,"score_spread":0.2697714574634017,"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."}}