{"id":"W2889125649","doi":"10.1109/ccece.2018.8447629","title":"A Performance Evaluation of Millimeter-Wave Cellular Networks with User Mobility","year":2018,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Blocking (statistics); Handover; Base station; Computer network; Cellular network; Extremely high frequency; Overhead (engineering); Mobility model; Stochastic geometry; Mobile telephony; Path loss; User equipment; Electronic engineering; Real-time computing; Telecommunications; Mobile radio; Engineering; Wireless; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006161464,0.0001142223,0.0001268144,0.00005699132,0.00003929975,0.00001093507,0.00005665888,0.00005650736,0.0004759693],"category_scores_gemma":[0.000008654961,0.00009022851,0.00003000289,0.0001459707,0.00005033487,0.0001198974,0.00001541639,0.0000731129,0.00001754224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004210951,"about_ca_system_score_gemma":0.00001770299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008596894,"about_ca_topic_score_gemma":0.00001846306,"domain_scores_codex":[0.9991448,0.00003399175,0.0002231451,0.0001466247,0.0002873928,0.0001640821],"domain_scores_gemma":[0.999297,0.00001418833,0.00003318621,0.0002640788,0.0003453169,0.00004620125],"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":[0.00005093645,0.0000621124,0.002219597,0.0000982191,0.0001114604,4.110115e-7,0.0005252098,0.866617,0.0843991,0.00001391436,0.0002228731,0.04567921],"study_design_scores_gemma":[0.0002621981,0.00009313343,0.0006762886,0.00002075994,0.00003617501,0.000001167286,0.0000197835,0.7573188,0.2414124,0.000008926362,0.00005561696,0.00009482429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5835914,0.00006485691,0.4118574,0.000002307069,0.00007416787,0.0001642049,6.722319e-7,0.00006102432,0.004183967],"genre_scores_gemma":[0.9926935,0.00002107684,0.00706576,0.00002209675,0.00008000857,0.00002154714,0.000008257341,0.00002061724,0.00006715707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4091021,"threshold_uncertainty_score":0.521153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660980971512146,"score_gpt":0.2272461338466828,"score_spread":0.1906363241315613,"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."}}