{"id":"W3006000580","doi":"10.1109/icassp40776.2020.9053050","title":"On Throughput of Millimeter Wave MIMO Systems with Low Resolution ADCs","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Telecommunications link; Electronic engineering; Throughput; MIMO; Converters; Channel state information; Channel (broadcasting); Extremely high frequency; Power (physics); Wireless; Telecommunications; Engineering; Physics","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":[0.0009650141,0.0007577474,0.0007351888,0.0004704426,0.0003743618,0.001198788,0.000463423,0.0005225036,0.001522269],"category_scores_gemma":[0.00533655,0.000250375,0.0002019412,0.0007143019,0.000766567,0.001664955,0.0006338723,0.0006312146,0.0004026501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023459,"about_ca_system_score_gemma":0.0005701002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002113737,"about_ca_topic_score_gemma":0.001566403,"domain_scores_codex":[0.9988681,0.0003795734,0.00002931512,0.0001316834,0.0003780817,0.0002133525],"domain_scores_gemma":[0.9965539,0.002650688,0.0001887626,0.0002501101,0.00031021,0.00004636929],"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":[0.000391655,0.00005602029,0.002525691,0.0001936147,0.00004535079,0.0003152352,0.0001483878,0.8931775,0.02875729,0.04015721,0.0008908116,0.03334121],"study_design_scores_gemma":[0.00001439793,0.000102266,0.001378832,0.00003573267,0.00003290311,0.0001668268,0.00004794876,0.9646555,0.02404166,0.008456549,0.001047966,0.0000195168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3924957,0.004160213,0.5726932,0.0008392508,0.0001344057,0.00005204409,0.0003694943,0.0008079837,0.02844773],"genre_scores_gemma":[0.9898136,0.0008355065,0.00730577,0.00005360112,0.00004761148,0.00001788962,0.0000672292,0.00002705081,0.00183165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002113737,"threshold_uncertainty_score":0.007425725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0373286556720895,"score_gpt":0.2212942388196057,"score_spread":0.1839655831475162,"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."}}