{"id":"W2160458237","doi":"10.1109/vetecf.2005.1558207","title":"An efficient QoS-based scheduling algorithm for MIMO wireless systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Time division multiple access; Quality of service; Scheduling (production processes); Base station; Computer network; MIMO; Real-time computing; Space-division multiple access; Wireless; Channel (broadcasting); Distributed computing; Mathematical optimization; Telecommunications; Mathematics","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":[0.00009576802,0.0001676723,0.0001723591,0.00007809416,0.00008114268,0.00005822441,0.0001060366,0.00009000113,0.000006684317],"category_scores_gemma":[0.000002283621,0.0001722301,0.00004374933,0.0001907908,0.00001590287,0.00008993278,0.000004973363,0.00006605479,0.000007346331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009678487,"about_ca_system_score_gemma":0.00001231947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002227554,"about_ca_topic_score_gemma":0.000007474178,"domain_scores_codex":[0.9990857,0.00001264667,0.0002517761,0.000206341,0.0001298358,0.0003137568],"domain_scores_gemma":[0.9995465,0.00006013317,0.00003452201,0.0002183613,0.00007983915,0.00006069393],"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":[0.000002660711,0.00003310143,0.00001976635,0.00004729997,0.000005552609,9.503954e-7,0.000005804407,0.9899229,0.0008679242,0.0009517628,0.0001212493,0.008020986],"study_design_scores_gemma":[0.0004878277,0.00002429835,0.00001581967,0.00003718205,0.000009021728,0.000001023388,0.00003314249,0.9945422,0.004197359,0.00001187764,0.0004112815,0.0002289602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02602944,0.0002509487,0.971141,0.00000615772,0.0007385665,0.0004495265,0.00001452141,0.0009379438,0.0004318532],"genre_scores_gemma":[0.6749129,0.000003077958,0.3242703,0.00001047049,0.0004661304,0.0001005931,0.0001149201,0.00006602646,0.00005557689],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6488835,"threshold_uncertainty_score":0.7023339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005620950636322444,"score_gpt":0.2154653257347927,"score_spread":0.2098443750984703,"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."}}