{"id":"W2129447772","doi":"10.1109/icc.2006.255725","title":"Linear Processing for the Downlink in Multiuser MIMO Systems with Multiple Data Streams","year":2006,"lang":"en","type":"article","venue":"2006 IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Precoding; MIMO; Computer science; Data stream mining; Transmitter; Transmitter power output; Duality (order theory); Optimization problem; Mathematical optimization; Power (physics); Real-time computing; Algorithm; Mathematics; Computer network; Telecommunications; Beamforming; Data mining","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":[0.000988474,0.001250276,0.0009630783,0.0003381933,0.0004788082,0.001403745,0.0005528261,0.00110037,0.002790996],"category_scores_gemma":[0.002152486,0.0004806258,0.0006040331,0.0008123941,0.0009126972,0.001498697,0.0009918314,0.001611517,0.001116732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006820916,"about_ca_system_score_gemma":0.001372361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403745,"about_ca_topic_score_gemma":0.002083231,"domain_scores_codex":[0.9993529,0.0002345056,0.00002370703,0.00009572299,0.0002186679,0.00007440907],"domain_scores_gemma":[0.9991599,0.0005733221,0.00008080831,0.00004470483,0.000119044,0.0000222915],"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":[0.0000996404,0.0001008592,0.0004232837,0.0004731084,0.000077263,0.0002088107,0.0002138639,0.8394046,0.009816534,0.06843018,0.004153313,0.0765985],"study_design_scores_gemma":[0.00001760176,0.00006907804,0.00009217834,0.00002708491,0.00001661228,0.00005663237,0.00004750114,0.9755511,0.002592885,0.01912492,0.002390232,0.00001423786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004213207,0.0006581713,0.9921663,0.0003679016,0.00004505859,0.00002385706,0.00004336325,0.00005194611,0.002430201],"genre_scores_gemma":[0.3625151,0.005607729,0.6119326,0.0008698082,0.0006738872,0.0004689597,0.0004085902,0.0002078523,0.01731537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002790996,"threshold_uncertainty_score":0.00933677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09994237916741898,"score_gpt":0.3318474533875652,"score_spread":0.2319050742201462,"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."}}