{"id":"W2747522389","doi":"10.5555/3107979.3107980","title":"Modeling and simulation of user mobility and handover in LTE and beyond mobile networks using DEVS formalism","year":2017,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; DEVS; Computer science; Mobility model; Computer network; Formalism (music); Cellular network; Mobility management; Mobile telephony; User equipment; Distributed computing; Mobile radio; Base station; Modeling and simulation; Simulation","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":[0.000265278,0.0001172447,0.0001963789,0.0000574862,0.0003682005,0.00009727883,0.0001256348,0.0000934406,2.73655e-7],"category_scores_gemma":[0.000007045617,0.0001284346,0.00001160917,0.00005381726,0.0001260514,0.0004567666,0.0002649773,0.0001290512,2.090375e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002434402,"about_ca_system_score_gemma":0.000004672593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007760491,"about_ca_topic_score_gemma":0.0001525988,"domain_scores_codex":[0.9993617,0.00003688105,0.0002840739,0.0001390167,0.00003867584,0.0001396669],"domain_scores_gemma":[0.9990814,0.0001170326,0.00009223876,0.0006238279,0.00004290396,0.00004259963],"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":[0.00000595416,0.000007549151,0.009739057,0.00004601962,0.000009342915,9.959665e-8,0.0004246248,0.9858176,0.0003711941,0.0001013035,4.006595e-7,0.003476921],"study_design_scores_gemma":[0.0003826957,0.00001200651,0.0007172623,0.000150851,0.00002058173,0.000003755176,0.00006467532,0.9982552,0.00001272342,0.0001493656,0.000109882,0.0001209959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7110124,0.0123522,0.2758672,0.00001727907,0.00008756316,0.0003695531,0.000003500124,0.00003451589,0.0002557637],"genre_scores_gemma":[0.9859409,0.008964933,0.004997662,0.000006267276,0.00003569511,0.00002162254,0.000008537349,0.00002012665,0.000004300486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2749284,"threshold_uncertainty_score":0.5237411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385397649193498,"score_gpt":0.2785699675584924,"score_spread":0.2547159910665575,"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."}}