{"id":"W2164656870","doi":"10.1109/tcsii.2006.875381","title":"A Subspace Multiuser Beamforming Algorithm for the Downlink in Mobile Communications","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Beamforming; Telecommunications link; Base station; Computer science; Subspace topology; Multiuser detection; Optimization problem; Algorithm; Mathematical optimization; Interference (communication); Mathematics; Telecommunications; Code division multiple access; 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":[0.0006543276,0.0009220022,0.00101854,0.0006253851,0.0005868669,0.0008044472,0.0008664919,0.0008240027,0.004231792],"category_scores_gemma":[0.001214946,0.00040443,0.0005812349,0.001087969,0.0004661141,0.001363719,0.00096255,0.001382925,0.002820156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004640648,"about_ca_system_score_gemma":0.0008817128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521848,"about_ca_topic_score_gemma":0.002021811,"domain_scores_codex":[0.9995049,0.0001738834,0.00002348066,0.00006843973,0.0001874676,0.00004187924],"domain_scores_gemma":[0.999645,0.0001317368,0.0000300486,0.00004944657,0.000122367,0.00002136807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001406223,0.00007659337,0.00028353,0.0001748237,0.00006905619,0.00008523154,0.00008457826,0.3126559,0.01359393,0.06282783,0.007852145,0.6021557],"study_design_scores_gemma":[0.00003076404,0.00006869476,0.00007830477,0.00001582641,0.000009289663,0.0001045411,0.00001819064,0.9669019,0.002869581,0.01869046,0.01119192,0.00002046346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005056353,0.0001289296,0.9985056,0.00003767042,0.00001927056,0.00001745116,0.00001783038,0.0001885887,0.0005789337],"genre_scores_gemma":[0.02605557,0.000348819,0.9710233,0.00007336555,0.00004521279,0.000201897,0.0001518473,0.00007236325,0.002027558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004231792,"threshold_uncertainty_score":0.0141567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306914689617497,"score_gpt":0.2738779634977505,"score_spread":0.2431864945360007,"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."}}