{"id":"W4248878304","doi":"10.22215/etd/2019-13856","title":"A Radio-Propagation-Measurement-Based Study of the Capacity of Multi-User Distributed-MIMO Indoor Channels at 18 and 28 GHz","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Path loss; MIMO; Fading; Antenna (radio); Electronic engineering; Transmission (telecommunications); Wireless; Radio frequency; Radio spectrum; Radio propagation model; Radio propagation; Computer science; Channel capacity; Engineering; Telecommunications; Channel (broadcasting)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007714226,0.0004785235,0.0004150799,0.0005663154,0.0002527992,0.000566208,0.0002994062,0.0003497832,0.0009127559],"category_scores_gemma":[0.002157545,0.0002055314,0.0003336488,0.0007584051,0.0004441233,0.0006022508,0.0003790771,0.0005569983,0.0002390996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007405413,"about_ca_system_score_gemma":0.0003805067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003378333,"about_ca_topic_score_gemma":0.00288903,"domain_scores_codex":[0.9996535,0.00009492286,0.000009549566,0.0000723952,0.00008467733,0.00008499495],"domain_scores_gemma":[0.9980301,0.001452381,0.0001480191,0.0001172911,0.0002130879,0.00003910131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002806711,0.000212629,0.01286593,0.0001654719,0.0001243023,0.000255769,0.0002252792,0.9107019,0.02803334,0.01226813,0.0009425699,0.03392394],"study_design_scores_gemma":[0.000005942798,0.0001686655,0.009098676,0.00001870278,0.00003355449,0.0001145816,0.0001184989,0.9735434,0.01492947,0.001202984,0.0007366804,0.00002886922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9002692,0.0007923573,0.08812437,0.000173111,0.00003388227,0.00003605294,0.0003572637,0.0001012793,0.01011246],"genre_scores_gemma":[0.9945728,0.0002748126,0.003666922,0.00001089156,0.00001652769,0.00001110467,0.00009064638,0.000008757186,0.00134753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003378333,"threshold_uncertainty_score":0.006717324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390537894843663,"score_gpt":0.2365281201611747,"score_spread":0.2126227412127381,"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."}}