{"id":"W2786346718","doi":"10.1109/pimrc.2017.8292387","title":"Spectral efficiency maximization of single cell massive multiuser MIMO systems via optimal power control with ZF receiver","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Spectral efficiency; Base station; Computer science; Power control; Fading; Telecommunications link; MIMO; Maximization; Signal-to-noise ratio (imaging); Electronic engineering; Power (physics); Efficient energy use; Channel (broadcasting); Mathematics; Telecommunications; Mathematical optimization; Engineering; Electrical 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":[0.00008597777,0.0002216205,0.0003134602,0.00009104911,0.0001199663,0.000080063,0.0002292163,0.0001107207,0.0000648861],"category_scores_gemma":[0.00002819047,0.000188457,0.00004558649,0.00007921351,0.00007020713,0.0004862354,0.00001818524,0.0000909093,0.00002617897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117573,"about_ca_system_score_gemma":0.00001454726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006209493,"about_ca_topic_score_gemma":0.00001423781,"domain_scores_codex":[0.998928,0.0000245981,0.0003402488,0.0002377892,0.0001833335,0.0002860238],"domain_scores_gemma":[0.9989207,0.00003388491,0.0002466378,0.000527275,0.0001972359,0.00007421232],"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":[0.00004116285,0.00005387485,0.0006657604,0.0000813506,0.0000304288,0.000006434732,0.0002338895,0.9640207,0.03468136,0.00007470891,0.00007408838,0.00003626063],"study_design_scores_gemma":[0.002195539,0.0002031221,0.0005192792,0.00009681375,0.00003903038,0.00001035773,0.0002386281,0.958033,0.03825098,0.000003444659,0.00007578229,0.0003340254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04469286,0.0001160992,0.9379907,0.00001200009,0.0004672211,0.0006371224,0.00001466386,0.0002041889,0.01586521],"genre_scores_gemma":[0.9794971,0.000006680632,0.01940198,0.000003951594,0.00005017127,0.00001499495,0.000008629223,0.00006390822,0.0009525507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9348043,"threshold_uncertainty_score":0.7685055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005803933201642042,"score_gpt":0.1915770657760289,"score_spread":0.1857731325743869,"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."}}