{"id":"W2013461435","doi":"10.1186/1687-1499-2011-138","title":"Multiuser MIMO downlink transmission with BEM-based limited feedback over doubly selective channels","year":2011,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Precoding; Telecommunications link; MIMO; Channel state information; Base station; Channel (broadcasting); Spectral efficiency; Quantization (signal processing); Algorithm; Control theory (sociology); Computer network; Telecommunications; Wireless","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":[0.0006730205,0.0006348269,0.0007590663,0.0002126259,0.000410717,0.0006337297,0.0005878581,0.0005841784,0.0005835724],"category_scores_gemma":[0.002561117,0.0002759295,0.0002897564,0.0003952414,0.0006226306,0.0007704708,0.0007350746,0.0004824552,0.0001815408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006008596,"about_ca_system_score_gemma":0.0006237149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002135639,"about_ca_topic_score_gemma":0.002262889,"domain_scores_codex":[0.9993457,0.0002491149,0.00001766054,0.00008557252,0.0002210482,0.00008085587],"domain_scores_gemma":[0.9990141,0.0005044815,0.0001862044,0.00008503883,0.0001702103,0.00003986093],"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":[0.0002050733,0.00005097935,0.000787718,0.0001592647,0.00004055925,0.0002686276,0.0001079935,0.9361333,0.01835082,0.01200415,0.00067719,0.03121432],"study_design_scores_gemma":[0.000006507992,0.00006103687,0.0001085339,0.000005535421,0.00000667931,0.00004437792,0.0000145187,0.9966055,0.0014841,0.001445574,0.000210956,0.000006643956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07294779,0.0005428335,0.9231309,0.0001943568,0.00004881254,0.00003745291,0.00007077875,0.0001429443,0.002884187],"genre_scores_gemma":[0.958852,0.0003797193,0.03938649,0.00006539462,0.00003228007,0.000052795,0.00004285086,0.000008886499,0.001179669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002135639,"threshold_uncertainty_score":0.004359543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279083065212579,"score_gpt":0.2410062303042889,"score_spread":0.2082153996521631,"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."}}