{"id":"W2799133012","doi":"10.1109/spcom.2018.8724443","title":"Single-User mmWave Massive MIMO: SVD-based ADC Bit Allocation and Combiner Design","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Algorithm; Cramér–Rao bound; MIMO; Quantization (signal processing); Computer science; Singular value decomposition; Upper and lower bounds; Mathematics; Channel (broadcasting); Telecommunications; Estimation theory","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":[0.0004449838,0.0007244864,0.0005970906,0.0003697482,0.000314144,0.00103351,0.0009529696,0.0006869,0.001657896],"category_scores_gemma":[0.001292734,0.0003210127,0.0003580402,0.0005581859,0.0004343718,0.0008295271,0.0005985168,0.000643302,0.0008885674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000369754,"about_ca_system_score_gemma":0.0005186111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005742419,"about_ca_topic_score_gemma":0.0009342559,"domain_scores_codex":[0.9993229,0.0001666265,0.00004157192,0.0001132549,0.0002989958,0.00005668861],"domain_scores_gemma":[0.9996458,0.00008917467,0.00005183858,0.00005600481,0.0001374478,0.00001973611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003123434,0.0001424521,0.001194652,0.0003476483,0.0001337864,0.0002455759,0.0001716535,0.3760352,0.1417374,0.04754798,0.002612252,0.429519],"study_design_scores_gemma":[0.00003306019,0.0002242928,0.0003148694,0.00002439085,0.00003884777,0.0003703957,0.00002380682,0.9428534,0.04386197,0.007633408,0.004595319,0.00002613509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00520596,0.0001678096,0.9928868,0.00006958688,0.00002126236,0.00002760267,0.00002510195,0.0001390344,0.001456739],"genre_scores_gemma":[0.3523889,0.0005476584,0.6427852,0.0002495983,0.0001090211,0.0001380256,0.0001213336,0.00004629701,0.003613893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001657896,"threshold_uncertainty_score":0.005546212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04730333633463968,"score_gpt":0.2311043492572563,"score_spread":0.1838010129226166,"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."}}