{"id":"W2996066211","doi":"10.1109/cwit.2019.8929929","title":"Analysis for Massive MIMO Systems with Two-Layer Linear Receive Processing","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"Minimum mean square error; MIMO; Telecommunications link; Interference (communication); Computer science; Detector; Computational complexity theory; Algorithm; Reduction (mathematics); Single antenna interference cancellation; Signal-to-noise ratio (imaging); Dimension (graph theory); Matrix (chemical analysis); Antenna (radio); Mathematics; Telecommunications; 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":[0.0008734076,0.001201166,0.0007160689,0.0004349704,0.0003503048,0.001119911,0.0006027648,0.0007486473,0.00433028],"category_scores_gemma":[0.002325282,0.0004085182,0.0006388954,0.000649221,0.0005958442,0.001023368,0.0009141376,0.0009675185,0.0007576698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009081677,"about_ca_system_score_gemma":0.0009300954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003216978,"about_ca_topic_score_gemma":0.002977755,"domain_scores_codex":[0.9993486,0.0001446286,0.00001872088,0.00006219824,0.0003148068,0.000110995],"domain_scores_gemma":[0.9988329,0.0006861048,0.0001012614,0.0000700167,0.0002821164,0.00002768753],"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":[0.00007768531,0.00002917703,0.000617233,0.0001895972,0.00006748078,0.0002338801,0.00009403223,0.941322,0.007529275,0.03629947,0.00144984,0.01209021],"study_design_scores_gemma":[0.000003163671,0.00001894766,0.0001883107,0.000006616081,0.000008136311,0.00004082731,0.00001332676,0.9957632,0.0005852982,0.003047937,0.0003182536,0.00000590945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0296225,0.001163555,0.9585077,0.00038929,0.00006149936,0.00005285718,0.0001891735,0.0001918715,0.009821544],"genre_scores_gemma":[0.9125237,0.002440488,0.07333609,0.0003456028,0.0002257195,0.0001734167,0.0003114448,0.0000938156,0.01054971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00433028,"threshold_uncertainty_score":0.01448619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079287559741785,"score_gpt":0.2399083500547898,"score_spread":0.229115474457372,"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."}}