{"id":"W2130785056","doi":"10.1109/glocom.2009.5425423","title":"Joint Power Control and Beamforming Codebook Design for MISO Channels with Limited Feedback","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Codebook; Beamforming; Power control; Computer science; Transmitter power output; Power (physics); Control theory (sociology); Channel state information; Wireless; Channel (broadcasting); Electronic engineering; Telecommunications; Algorithm; Control (management); Engineering; Artificial intelligence; 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":[0.001884483,0.001608453,0.001260897,0.0005227602,0.0004005429,0.001140673,0.001038244,0.000639066,0.001491632],"category_scores_gemma":[0.007262534,0.0006636372,0.0003846427,0.0006277813,0.001237198,0.001889483,0.00103486,0.0007640152,0.0005086843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009392205,"about_ca_system_score_gemma":0.001123303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467969,"about_ca_topic_score_gemma":0.001702543,"domain_scores_codex":[0.9985597,0.0005007988,0.00007376613,0.0002318114,0.0004605976,0.0001733342],"domain_scores_gemma":[0.9969271,0.001867978,0.0004306371,0.0001703305,0.0004907727,0.000113153],"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":[0.000258108,0.00008248707,0.0007028714,0.0002078952,0.00005433386,0.00010093,0.0001618077,0.8701661,0.01021779,0.03556112,0.001107804,0.08137881],"study_design_scores_gemma":[0.00004964521,0.0001288663,0.0002115598,0.00002088933,0.00002138364,0.00005013159,0.00003455836,0.9824122,0.003245228,0.01296262,0.0008382605,0.0000248101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0123156,0.0003836849,0.9856271,0.0001540711,0.00002522315,0.00004420811,0.00003738175,0.00007602067,0.001336718],"genre_scores_gemma":[0.7945525,0.001080953,0.2004782,0.0001571988,0.0001225277,0.0002552083,0.0001259152,0.00009349275,0.003133926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001884483,"threshold_uncertainty_score":0.009966254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129962157514937,"score_gpt":0.2003467412264754,"score_spread":0.1873505254749817,"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."}}