{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001348712,0.0003530282,0.000491666,0.000138479,0.00002825607,0.00004763203,0.0001566421,0.0002793683,0.00007065206],"category_scores_gemma":[0.00001947067,0.0002871785,0.0001269089,0.0001048984,0.00002837822,0.00004794007,0.0001219387,0.0005098848,0.00005147557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028637,"about_ca_system_score_gemma":0.0000387045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007694588,"about_ca_topic_score_gemma":0.000009761418,"domain_scores_codex":[0.9984505,0.00004730712,0.0005012901,0.0004122507,0.0003533166,0.0002353095],"domain_scores_gemma":[0.9991081,0.00004824426,0.0001179838,0.0005040226,0.0001217611,0.00009990983],"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":[0.0000618541,0.00002914449,0.000004718816,0.002220156,0.0002680504,0.00001033935,0.0004236405,0.9849121,0.008311663,0.0004880175,0.002609354,0.0006609467],"study_design_scores_gemma":[0.0003190316,0.0001293866,0.00001234172,0.0009613253,0.00006785172,0.000005460372,0.00006484149,0.9595492,0.03784257,0.0003613414,0.0002880103,0.000398665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03974586,0.00070571,0.9408802,0.00007595895,0.0007868012,0.0006610071,0.00006091139,0.0004259088,0.01665757],"genre_scores_gemma":[0.9884015,0.000205911,0.01068769,0.00009082243,0.0001480565,0.000051788,0.0001081713,0.00008580838,0.0002202546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9486556,"threshold_uncertainty_score":0.999958,"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."}}