{"id":"W3214861690","doi":"10.1109/isncc52172.2021.9615850","title":"Analysis of Self-Blockage Impact on Handover Probability for User with Mobility in 5G Mm-Wave Cellular Network","year":2021,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Non-line-of-sight propagation; Blocking (statistics); Handover; SIGNAL (programming language); Physics; Cellular network; Attenuation; RADIUS; Computer science; Channel (broadcasting); Line-of-sight; Telecommunications; Acoustics; Simulation; Computer network; Wireless; Optics","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":[0.0003984637,0.0001561909,0.0003814084,0.00009847305,0.0000228255,0.00001867913,0.00004798966,0.00007065045,0.0002433049],"category_scores_gemma":[0.00002672465,0.0001170334,0.0002043789,0.0006857857,0.00001210226,0.00005991797,0.00001360159,0.00009998433,0.000001255264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001176133,"about_ca_system_score_gemma":0.0000354461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004971799,"about_ca_topic_score_gemma":0.0004778084,"domain_scores_codex":[0.9989818,0.00004675555,0.0003307142,0.0002637888,0.0001406069,0.0002363542],"domain_scores_gemma":[0.9992816,0.0001118249,0.00003688063,0.0003824566,0.0001239794,0.00006326631],"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":[0.00006536012,0.0001474811,0.01422551,0.0001049397,0.0005806738,0.000002486573,0.0001556444,0.9790041,0.005386123,0.00004459452,0.00004001257,0.0002430064],"study_design_scores_gemma":[0.0005769852,0.00007592591,0.008807062,0.00002072234,0.0002658867,3.892465e-7,0.00002631645,0.8845659,0.1052322,0.0002249379,0.0000399745,0.0001636955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6704952,0.00005184746,0.3285135,0.000007838264,0.00002336017,0.0002812858,0.00001489378,0.0000596106,0.0005525254],"genre_scores_gemma":[0.9860064,0.000008490001,0.01376244,0.00002584576,0.00002120465,0.00003759144,0.00004456897,0.00001809319,0.00007541159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3155112,"threshold_uncertainty_score":0.4772483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917180014418616,"score_gpt":0.2263011885836714,"score_spread":0.2071293884394852,"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."}}