{"id":"W2163212918","doi":"10.1109/wcnc.2007.220","title":"Amount of Fading Analysis for Transmit Antenna Selection in MIMO Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Rayleigh fading; MIMO; Computer science; Antenna (radio); Selection (genetic algorithm); Simple (philosophy); Diversity gain; Fading distribution; Coding (social sciences); Electronic engineering; Outage probability; Algorithm; Telecommunications; Mathematics; Statistics; Decoding methods; Engineering; Channel (broadcasting)","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":[0.001142298,0.0009141789,0.0005216639,0.0009155357,0.0003865733,0.0009002104,0.0005282931,0.0003553719,0.001957273],"category_scores_gemma":[0.005763126,0.0002697758,0.000432904,0.000795208,0.0009281774,0.001836991,0.0008546729,0.0009316928,0.0004524077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008511016,"about_ca_system_score_gemma":0.0004153015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001698421,"about_ca_topic_score_gemma":0.0009319297,"domain_scores_codex":[0.9991488,0.0002552993,0.00003748144,0.00007376174,0.000372145,0.0001125152],"domain_scores_gemma":[0.9972452,0.001953957,0.0002028328,0.0002539422,0.0002936555,0.00005052336],"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":[0.00006854954,0.00001295117,0.0008879459,0.0001018422,0.00003552893,0.0001151308,0.0001087115,0.8744941,0.008380819,0.08923474,0.00090981,0.02564986],"study_design_scores_gemma":[0.000004367092,0.00004292812,0.00062571,0.00002638711,0.00001832403,0.0001193947,0.00003540677,0.9604773,0.002350624,0.03463881,0.001637563,0.00002320762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0263255,0.001631193,0.9655963,0.0002244701,0.00005849441,0.00002242026,0.00008375559,0.0001892602,0.005868623],"genre_scores_gemma":[0.9419085,0.004205178,0.04981377,0.0001766476,0.0002924606,0.00007837492,0.0001057641,0.0001300122,0.003289217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001957273,"threshold_uncertainty_score":0.006547689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009912032402456224,"score_gpt":0.2340765107894134,"score_spread":0.2241644783869572,"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."}}