{"id":"W4405812078","doi":"10.1109/tmc.2024.3522207","title":"Resource Allocation for the Uplink of a Multi-User Massive MIMO System","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Telecommunications link; MIMO; Computer network; Resource allocation; Multi-user MIMO; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006932896,0.0006356963,0.0006995315,0.0002011654,0.0005067362,0.0008316317,0.0005611152,0.0006217871,0.002598957],"category_scores_gemma":[0.001626884,0.0002093319,0.0002827999,0.0003952314,0.000611755,0.0006515895,0.0006552694,0.000595537,0.0002986481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009335508,"about_ca_system_score_gemma":0.0008291146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890096,"about_ca_topic_score_gemma":0.003268008,"domain_scores_codex":[0.9996114,0.0001629315,0.00001026839,0.00005046438,0.00007793374,0.00008697239],"domain_scores_gemma":[0.9993741,0.0004320792,0.00005136189,0.00004484894,0.00005854406,0.00003917256],"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":[0.00006788296,0.00003442908,0.0003526883,0.00005411374,0.00001529973,0.00009445005,0.00003449247,0.9790692,0.003729412,0.0067568,0.0004945788,0.009296716],"study_design_scores_gemma":[0.000004265496,0.00001674776,0.00006855425,0.000001451496,0.000002805152,0.00000997952,0.00001056538,0.9979888,0.0004655039,0.001329395,0.0001000679,0.000001935351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09347048,0.0004426814,0.8985471,0.0004767527,0.00005302675,0.0000741141,0.00008301455,0.0002839857,0.006568896],"genre_scores_gemma":[0.9339477,0.0002191818,0.06323236,0.0000904495,0.00005676445,0.0000748431,0.00003694991,0.00002989137,0.002311831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002890096,"threshold_uncertainty_score":0.00869441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311476158237268,"score_gpt":0.2481497763053568,"score_spread":0.2350350147229841,"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."}}