{"id":"W2952960355","doi":"10.48550/arxiv.0912.3323","title":"Minimizing Sum-MSE Implies Identical Downlink and Dual Uplink Power Allocations","year":2009,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Duality (order theory); Mathematical optimization; Computer science; Power (physics); Constraint (computer-aided design); Convex optimization; Regular polygon; Dual (grammatical number); Iterative method; Mathematics; Discrete mathematics; Computer network","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":[0.002685112,0.001193378,0.001570509,0.0006352458,0.0005244364,0.002910959,0.0009067436,0.001455865,0.002817042],"category_scores_gemma":[0.01061685,0.0005257324,0.000471519,0.001043997,0.001534854,0.002445885,0.002190295,0.001419052,0.001217709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000782265,"about_ca_system_score_gemma":0.001293158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003167904,"about_ca_topic_score_gemma":0.0002863622,"domain_scores_codex":[0.9964916,0.00135061,0.0002351166,0.0006137434,0.0009554178,0.0003534399],"domain_scores_gemma":[0.99663,0.001868308,0.0003523349,0.0004236531,0.0006375004,0.00008809818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002690843,0.0002609138,0.001814629,0.0003597196,0.0001252443,0.0002859528,0.0002230882,0.4262063,0.02659233,0.428412,0.004203864,0.111247],"study_design_scores_gemma":[0.0000537003,0.0002250357,0.0009455251,0.00005388339,0.0000332536,0.0005690113,0.0001234769,0.7698174,0.02968392,0.1951791,0.003280271,0.00003552953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02198458,0.0001254274,0.9675501,0.000316117,0.00004059349,0.00003654535,0.00009060592,0.0001012965,0.009754688],"genre_scores_gemma":[0.6755629,0.0006044076,0.3154918,0.0005951524,0.0001884368,0.0002890514,0.0002371743,0.0003138851,0.006717239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002910959,"threshold_uncertainty_score":0.01420039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03337107927988778,"score_gpt":0.1829480854340327,"score_spread":0.1495770061541449,"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."}}