{"id":"W3029883195","doi":"10.1109/tcomm.2020.2997401","title":"Security Enhancement via Antenna Selection in MIMOME Channels With Discrete Inputs","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Rayleigh fading; QAM; Quadrature amplitude modulation; Computer science; Antenna (radio); Channel (broadcasting); Topology (electrical circuits); Artificial noise; Communications system; Electronic engineering; Fading; Telecommunications; Bit error rate; Mathematics; Engineering; 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":[0.0001315484,0.0002369501,0.0002476737,0.0002285013,0.0002337104,0.00005252519,0.0009019523,0.0001138949,0.0000640995],"category_scores_gemma":[0.000003697212,0.0002568603,0.00006829992,0.001018977,0.0001217646,0.0003325939,0.00001094136,0.0008504384,0.0000572067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001822386,"about_ca_system_score_gemma":0.0000293178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008905856,"about_ca_topic_score_gemma":0.0008762646,"domain_scores_codex":[0.9987662,0.0001537073,0.000395559,0.0002274586,0.000199724,0.0002573687],"domain_scores_gemma":[0.9985393,0.0001165939,0.00005850054,0.001070432,0.00008719911,0.0001279912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008712923,0.006309267,0.0009018923,0.001057361,0.001545891,0.00002003141,0.07377078,0.427316,0.4292026,0.007930226,0.002672419,0.04840223],"study_design_scores_gemma":[0.0009840677,0.000400153,0.0001825195,0.0002502936,0.00005370846,0.0000135157,0.0002511037,0.8179742,0.1715775,0.0006328791,0.006901106,0.0007789896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01457687,0.0002133754,0.9766382,0.005247497,0.00006385431,0.0006137006,0.00002974405,0.001091599,0.001525176],"genre_scores_gemma":[0.9919018,0.001319079,0.005814618,0.000317575,0.00001604015,0.0005429625,0.00001770543,0.00005460046,0.00001567246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9773249,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163726898859136,"score_gpt":0.2512645383819015,"score_spread":0.2296272693933102,"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."}}