{"id":"W4410227024","doi":"10.1109/wcnc61545.2025.10978506","title":"Performance Evaluation of MU-MIMO Systems with Multi-Antenna Users for Different Precoding Strategies","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Precoding; MIMO; Computer science; Zero-forcing precoding; Antenna (radio); Electronic engineering; 3G MIMO; Telecommunications; Engineering","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":[0.0001998032,0.0001288412,0.0001923826,0.0001111979,0.00003871552,0.00002892011,0.00007057975,0.00004791953,0.000004140539],"category_scores_gemma":[0.00001864976,0.0001008909,0.00002421027,0.0001316508,0.00001359008,0.0003011142,0.000007981378,0.00003985092,6.766572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001296361,"about_ca_system_score_gemma":0.00003484484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001407864,"about_ca_topic_score_gemma":0.00006412658,"domain_scores_codex":[0.9993063,0.00002004752,0.0002684595,0.0001292541,0.0001344994,0.0001414517],"domain_scores_gemma":[0.9994519,0.00004547146,0.00005889205,0.0001618092,0.0002640556,0.00001781264],"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":[0.00001384724,0.00001168177,0.002779735,0.0007063489,0.00005593276,2.316224e-8,0.0001271298,0.9907469,0.004274374,0.0003520386,0.0000202019,0.0009118601],"study_design_scores_gemma":[0.0009163041,0.00003700671,0.002459817,0.0004004484,0.00006243781,4.330792e-7,0.001199614,0.9910722,0.00372726,0.000005784994,0.00001070154,0.0001080148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2638046,0.0001670656,0.7332202,0.000002778128,0.0003449627,0.0009333743,0.000004622961,0.000136494,0.00138584],"genre_scores_gemma":[0.9928305,0.00002472268,0.00653439,0.000001142595,0.00001939541,0.0003044932,0.00001433193,0.0000204984,0.0002505708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7290258,"threshold_uncertainty_score":0.4114209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031307635780099,"score_gpt":0.274979050567323,"score_spread":0.243671414787224,"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."}}