{"id":"W2163614426","doi":"10.1109/glocom.2006.840","title":"WLC38-6: Minimax Linear Precoding for MISO Broadcast Channels with Bounded Uncertainty","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Telecommunications link; Base station; Computer science; Mathematical optimization; Channel (broadcasting); Transmission (telecommunications); Channel state information; Bounded function; Zero-forcing precoding; Transmitter power output; Optimization problem; Control theory (sociology); MIMO; Mathematics; Wireless; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009928392,0.000607649,0.0007982064,0.0002740227,0.0002735685,0.0008509503,0.0004518948,0.0007298065,0.001411925],"category_scores_gemma":[0.003522494,0.0002203533,0.0002793382,0.000518759,0.0008032095,0.000732532,0.0005334103,0.0006860619,0.0002715375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006487951,"about_ca_system_score_gemma":0.0009774114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002678503,"about_ca_topic_score_gemma":0.002235452,"domain_scores_codex":[0.9994472,0.0002294408,0.0000179525,0.00006606533,0.0001762307,0.00006309555],"domain_scores_gemma":[0.9990578,0.000644239,0.00009934681,0.0000639977,0.0001172924,0.00001735463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004446482,0.0000125437,0.0001467288,0.00004881233,0.00001599522,0.00003261451,0.00002695444,0.968446,0.001193697,0.01879814,0.0006983523,0.01053579],"study_design_scores_gemma":[0.000007741715,0.0000213883,0.00004742299,0.000005626624,0.00000259905,0.000007998067,0.000004796403,0.9937581,0.0006732387,0.00518022,0.0002875495,0.000003428718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.020986,0.0003421492,0.97439,0.0004326708,0.00003343982,0.00002620424,0.00009312049,0.0001153686,0.003581083],"genre_scores_gemma":[0.8429402,0.0006347917,0.1507255,0.0002241568,0.0001244257,0.0001722542,0.0001809683,0.000069159,0.004928678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002678503,"threshold_uncertainty_score":0.005325854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009438924203018647,"score_gpt":0.2178665502816882,"score_spread":0.2084276260786696,"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."}}