{"id":"W2071754954","doi":"10.1016/j.jfranklin.2011.10.010","title":"Joint power control and beamforming codebook design for MISO channels under the outage criterion","year":2011,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Codebook; Beamforming; Power control; Computer science; Power (physics); Transmitter power output; Channel state information; Rayleigh fading; Control theory (sociology); Channel (broadcasting); WSDMA; Wireless; Electronic engineering; Mathematical optimization; Precoding; Telecommunications; Algorithm; Control (management); MIMO; Mathematics; Fading; Engineering; Artificial intelligence","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":[0.001978852,0.001485439,0.001419972,0.0005261091,0.0004235754,0.001444314,0.00103736,0.001041823,0.003071685],"category_scores_gemma":[0.009678595,0.0006657525,0.0003406866,0.001031012,0.001272727,0.001824732,0.001481238,0.001016641,0.0006940392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007353188,"about_ca_system_score_gemma":0.002547228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002575659,"about_ca_topic_score_gemma":0.003349185,"domain_scores_codex":[0.9986575,0.0004395262,0.00006609893,0.0001906626,0.0004259574,0.0002202493],"domain_scores_gemma":[0.9960437,0.002606186,0.0002839161,0.0002510959,0.0006518774,0.0001632707],"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":[0.000697933,0.0001098184,0.001085125,0.0002957414,0.00006918016,0.0001637148,0.0002113473,0.782686,0.008323262,0.0794561,0.004306507,0.1225952],"study_design_scores_gemma":[0.00006143653,0.00008552097,0.000262021,0.00002247305,0.00001901337,0.00006155697,0.00003381934,0.9743266,0.001781663,0.02271234,0.0006135062,0.0000200852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01587761,0.0003819544,0.9799116,0.0004011736,0.00004722946,0.00004899139,0.0001443106,0.0001627429,0.003024389],"genre_scores_gemma":[0.843438,0.0009305965,0.1498875,0.0002489732,0.0002022284,0.0002179729,0.0003659208,0.0001094717,0.004599386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003071685,"threshold_uncertainty_score":0.01046532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03663351161167785,"score_gpt":0.2301144062165807,"score_spread":0.1934808946049028,"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."}}