{"id":"W2883168090","doi":"10.1109/vtcspring.2018.8417594","title":"Performance of Millimeter Wave Massive MIMO with the Alamouti Code","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"MIMO; Computer science; Electronic engineering; 3G MIMO; Extremely high frequency; Beamforming; Path loss; Wireless; Bandwidth (computing); Spectral efficiency; Multi-user MIMO; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001624341,0.001191601,0.0009001443,0.0005353423,0.0006989651,0.00101947,0.0005213137,0.001098692,0.001782637],"category_scores_gemma":[0.00555053,0.0002712467,0.0003137702,0.0007602586,0.0008581231,0.0009753922,0.001153004,0.0007231234,0.0003860454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005905635,"about_ca_system_score_gemma":0.001230885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004813524,"about_ca_topic_score_gemma":0.002651391,"domain_scores_codex":[0.9983078,0.0004680382,0.00005626449,0.0001807898,0.0005335609,0.0004535564],"domain_scores_gemma":[0.9944288,0.003346169,0.0004606499,0.0003852872,0.001156412,0.0002227581],"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":[0.002412486,0.0001922544,0.007192678,0.0002716691,0.0002108142,0.0005390981,0.0002501375,0.8855517,0.04654106,0.01263897,0.002301332,0.04189774],"study_design_scores_gemma":[0.0000740929,0.0007526332,0.005125709,0.00004440009,0.00006867946,0.0004043602,0.0001304778,0.9623312,0.02594633,0.004329701,0.0006955132,0.00009697889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8529777,0.002572478,0.1084232,0.0008604225,0.0002914818,0.00005191417,0.0006538334,0.0009506395,0.03321837],"genre_scores_gemma":[0.9949406,0.0002076759,0.003694446,0.00006161822,0.00002809588,0.00001234931,0.0001344666,0.00001662216,0.0009040114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004813524,"threshold_uncertainty_score":0.009571016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009314085922759284,"score_gpt":0.1955285976896267,"score_spread":0.1862145117668674,"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."}}