{"id":"W2127571792","doi":"10.1007/s11277-006-9139-1","title":"A Novel Nonlinear Precoding Algorithm for the Downlink of Multiple Antenna Multi-User Systems","year":2006,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Precoding; Algorithm; Telecommunications link; Transmitter; Interference (communication); Antenna (radio); Channel (broadcasting); Telecommunications; MIMO","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001989138,0.0001590952,0.0002219434,0.00007256534,0.0002889851,0.00003477821,0.0005873982,0.00008698842,0.000001828402],"category_scores_gemma":[0.00003155935,0.0001382104,0.0001006552,0.0002181788,0.0001111571,0.000151652,0.00008049973,0.000178539,0.000003888043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000848604,"about_ca_system_score_gemma":0.00002354277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003591885,"about_ca_topic_score_gemma":0.0003802187,"domain_scores_codex":[0.9990969,0.00003116614,0.0004200384,0.0001356042,0.0001115937,0.0002046961],"domain_scores_gemma":[0.998179,0.0006569286,0.0001284455,0.0007661146,0.0002387447,0.00003076862],"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":[0.00002390353,0.0007682592,0.001473916,0.0006266283,0.0004261156,4.890254e-7,0.002799746,0.8307948,0.1340688,0.007689467,0.0004674287,0.0208604],"study_design_scores_gemma":[0.0006860623,0.000009330706,0.0002161625,0.0001037836,0.00003138953,0.000007306325,0.0007676062,0.9936943,0.0003395013,0.000002867982,0.003989964,0.000151744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001263975,0.00286842,0.993856,0.00009358861,0.0001761695,0.0008428944,0.0005742966,0.0001885126,0.0001361887],"genre_scores_gemma":[0.7177274,0.0002390554,0.280947,0.000006578983,0.00009787698,0.0004022665,0.0002278992,0.00005493336,0.000297019],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7164634,"threshold_uncertainty_score":0.5636055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03442310715709587,"score_gpt":0.2655837089323305,"score_spread":0.2311606017752346,"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."}}