{"id":"W2016766135","doi":"10.1109/vetecf.2010.5594132","title":"User Scheduling for Network MIMO Systems with Successive Zero-Forcing Precoding","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Precoding; Greedy algorithm; Scheduling (production processes); MIMO; Algorithm; Dirty paper coding; Computational complexity theory; Mathematical optimization; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000735282,0.0006225725,0.0005746747,0.0002762243,0.0004267374,0.000521734,0.0006816357,0.0004230441,0.0009365238],"category_scores_gemma":[0.002389486,0.0002054938,0.0002889351,0.0006302164,0.0006462873,0.0006118981,0.0004817257,0.0003572599,0.0001853261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009689997,"about_ca_system_score_gemma":0.001425462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00460277,"about_ca_topic_score_gemma":0.005404145,"domain_scores_codex":[0.9993802,0.0002630471,0.00001878231,0.00008075462,0.0001541832,0.0001029447],"domain_scores_gemma":[0.9990146,0.0005560734,0.0001228412,0.0001186552,0.0001531493,0.00003475719],"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":[0.00006841645,0.00002058774,0.0002748218,0.00004568806,0.00002183127,0.00004590368,0.00005102888,0.9580244,0.002035524,0.01600503,0.000496345,0.02291039],"study_design_scores_gemma":[0.000009283119,0.00002873313,0.00007531235,0.000002463582,0.000005202835,0.00001933211,0.00001225508,0.9945909,0.0006090309,0.004288872,0.0003543812,0.000004242909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03051734,0.0001978606,0.967303,0.00008662258,0.00003124799,0.00004127894,0.00003389159,0.00009259408,0.001696227],"genre_scores_gemma":[0.8431949,0.0003780634,0.1543557,0.00009580634,0.00006038202,0.000105109,0.00007599895,0.00002855581,0.001705505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00460277,"threshold_uncertainty_score":0.009151936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007582022949295545,"score_gpt":0.2167451075080655,"score_spread":0.20916308455877,"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."}}