{"id":"W2106188774","doi":"10.1109/lsp.2011.2110644","title":"Performance Analysis of Joint User Scheduling and Antenna Selection Over MIMO Fading Channels","year":2011,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Rayleigh fading; MIMO; Computer science; Fading; Scheduling (production processes); Block code; 3G MIMO; Coding (social sciences); Electronic engineering; Telecommunications; Algorithm; Mathematical optimization; Decoding methods; Mathematics; Engineering; Channel (broadcasting); Statistics","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":[0.002027291,0.0009059458,0.0008765478,0.0004135059,0.0003894963,0.001059705,0.0004794578,0.0005893607,0.001203633],"category_scores_gemma":[0.005733562,0.000257207,0.0003239932,0.0008564191,0.0006483414,0.000674997,0.0008055757,0.0003865628,0.0002782192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009572068,"about_ca_system_score_gemma":0.001124866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002135691,"about_ca_topic_score_gemma":0.001747825,"domain_scores_codex":[0.9978103,0.001014835,0.00005460826,0.0001517167,0.000581554,0.0003870111],"domain_scores_gemma":[0.9958223,0.002683696,0.0004283245,0.0003583861,0.0005644498,0.0001427892],"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":[0.0002649258,0.00003009927,0.001284059,0.00004861491,0.00005167524,0.0001031831,0.00003121974,0.96743,0.009611341,0.006547669,0.0002601631,0.01433703],"study_design_scores_gemma":[0.000005782655,0.00009511913,0.0004470086,0.000003096818,0.00001793955,0.00004996833,0.0000132693,0.9957218,0.00262107,0.000901825,0.0001165696,0.000006466293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3050817,0.001530506,0.6835756,0.0002832493,0.00006513082,0.00006593697,0.0001157559,0.0003789751,0.00890294],"genre_scores_gemma":[0.989172,0.0002231992,0.009903238,0.00002036811,0.00003283396,0.00001506002,0.00002761066,0.00001778606,0.0005879165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002135691,"threshold_uncertainty_score":0.01072145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796392263583848,"score_gpt":0.2070183620488092,"score_spread":0.1890544394129708,"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."}}