{"id":"W4396596886","doi":"10.1109/twc.2024.3393869","title":"Uplink Resource Allocation Optimization for User-Centric Cell-Free MIMO Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Telecommunications link; Computer science; MIMO; Computer network; Resource allocation; Resource management (computing); Mathematical optimization; Telecommunications; Channel (broadcasting); Mathematics","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":[0.001148859,0.0008896582,0.001071711,0.0002518515,0.0003920336,0.001083768,0.0008351086,0.0007959658,0.001317547],"category_scores_gemma":[0.002232236,0.0003690946,0.0002923049,0.0006042038,0.0008309175,0.0009757594,0.0008634305,0.0006965921,0.0002269023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189337,"about_ca_system_score_gemma":0.000792955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002520418,"about_ca_topic_score_gemma":0.002437579,"domain_scores_codex":[0.9994066,0.000252923,0.00001458471,0.0000856816,0.0001186242,0.0001216179],"domain_scores_gemma":[0.9987788,0.0008385375,0.0001289921,0.00005207305,0.0001393131,0.0000623737],"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":[0.00003512326,0.00002468231,0.0001644412,0.00002491332,0.00001342923,0.00003154665,0.00001904124,0.9895787,0.001411186,0.004279711,0.000409903,0.004007371],"study_design_scores_gemma":[0.000004171918,0.00001582924,0.00006274033,0.000001153933,0.000002856144,0.000007425866,0.000007968418,0.9979708,0.0002934178,0.001541106,0.00009008341,0.000002419288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0705661,0.0005634578,0.9223387,0.0003993987,0.00004617429,0.00004888003,0.00007936396,0.0001346137,0.005823264],"genre_scores_gemma":[0.9588655,0.0003810144,0.03705147,0.0001373727,0.00007274162,0.00008264509,0.00004510815,0.00003988098,0.003324389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002520418,"threshold_uncertainty_score":0.008629262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459215619082955,"score_gpt":0.238796629545197,"score_spread":0.2242044733543674,"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."}}