{"id":"W2982304370","doi":"10.1109/wcnc.2019.8886103","title":"Robust Hybrid Analog/Digital Beamforming for Uplink Massive-MIMO with Imperfect CSI","year":2019,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"MIMO; Telecommunications link; Computer science; Base station; Robustness (evolution); Beamforming; Channel state information; Minimum mean square error; Electronic engineering; Control theory (sociology); Algorithm; Telecommunications; Wireless; Mathematics; 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":[0.0007133418,0.0008138376,0.0005862401,0.0002418249,0.0001955078,0.0007372269,0.0005263233,0.0006059717,0.001235644],"category_scores_gemma":[0.001458155,0.000326237,0.0004350597,0.0003699395,0.0005163653,0.0006480187,0.0006981842,0.0004674864,0.0004263371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910447,"about_ca_system_score_gemma":0.0003577537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004146206,"about_ca_topic_score_gemma":0.0005774909,"domain_scores_codex":[0.9994733,0.0001621185,0.0000286196,0.00008635212,0.0002017584,0.00004799468],"domain_scores_gemma":[0.9992773,0.0003670227,0.0001633248,0.00006239728,0.0001043318,0.00002558475],"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":[0.0001076194,0.00004021713,0.0005355253,0.0001901515,0.0001005866,0.000109419,0.00006700373,0.8795573,0.0287548,0.01791246,0.0005171387,0.07210772],"study_design_scores_gemma":[0.00001089896,0.0001534259,0.0001658158,0.00001140787,0.00002041222,0.00005447512,0.00001504845,0.9890878,0.006298702,0.0032874,0.0008823894,0.00001229279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006081793,0.0001572826,0.9923044,0.00003834988,0.00001117106,0.000012103,0.00001581495,0.00006982498,0.001309283],"genre_scores_gemma":[0.7810594,0.0005257281,0.2149457,0.0001445329,0.00008831977,0.0001035172,0.00007149461,0.00003566339,0.003025646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001235644,"threshold_uncertainty_score":0.004133582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516826140030455,"score_gpt":0.191902754568479,"score_spread":0.1767344931681744,"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."}}