{"id":"W2064654093","doi":"10.1109/ecwt.2006.280472","title":"Precise Estimation of MIMO Channel Capacity From RF Measurements","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"MIMO; Channel (broadcasting); Channel capacity; Precoding; Computer science; Transmission (telecommunications); Signal-to-noise ratio (imaging); Overhead (engineering); Electronic engineering; Control theory (sociology); Telecommunications; Engineering","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":[0.001140428,0.0008878342,0.0008713694,0.0005858905,0.0002765671,0.0007251052,0.0006098534,0.0006339161,0.0008009948],"category_scores_gemma":[0.008044397,0.0004023884,0.0003473806,0.0004817624,0.00130062,0.002650918,0.0009287746,0.0009732294,0.0003135937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004475993,"about_ca_system_score_gemma":0.0005282107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008466524,"about_ca_topic_score_gemma":0.0008192838,"domain_scores_codex":[0.9983588,0.000404967,0.00005411917,0.0002319295,0.0007998916,0.0001502884],"domain_scores_gemma":[0.9967951,0.001879969,0.0002629067,0.000677208,0.0003458744,0.00003889911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001279044,0.00002845813,0.002698229,0.0003742272,0.0001013847,0.0002476501,0.0001472522,0.8316206,0.08942325,0.03437024,0.0004388856,0.04042203],"study_design_scores_gemma":[0.000005828102,0.00006668403,0.003692745,0.00004415484,0.00002618177,0.0002502322,0.0000293636,0.9401428,0.04632525,0.00846999,0.0008699941,0.00007674163],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06963354,0.0005793765,0.925861,0.0001244767,0.00004153171,0.00002152887,0.0001679875,0.0003966462,0.003173916],"genre_scores_gemma":[0.9621068,0.0005655278,0.03628095,0.00005558706,0.00006696134,0.00003432411,0.0002009552,0.0000673059,0.0006214823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001140428,"threshold_uncertainty_score":0.006031275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528711329671041,"score_gpt":0.2136581407643415,"score_spread":0.1883710274676311,"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."}}