{"id":"W4385815458","doi":"10.1109/vtc2023-spring57618.2023.10199527","title":"Deep Q-Networks Assisted Pre-connect Handover Management for 5G Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Carleton University","funders":"","keywords":"Handover; Computer science; Quality of service; Computer network; Latency (audio); Mobility management; Wireless network; User equipment; Next-generation network; Wireless; Distributed computing; Telecommunications; Base station","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006037804,0.0004118872,0.0002744466,0.0002913315,0.0005100094,0.0005148179,0.0006994638,0.0003708242,0.0009718325],"category_scores_gemma":[0.0008804788,0.0001244645,0.0001698904,0.000230812,0.0003642328,0.0006204684,0.000904193,0.0004324192,0.0001650607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003831122,"about_ca_system_score_gemma":0.0006149309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00246132,"about_ca_topic_score_gemma":0.004455216,"domain_scores_codex":[0.9997099,0.00007518964,0.00001265698,0.00004113504,0.00008317974,0.00007793637],"domain_scores_gemma":[0.9995831,0.0001343827,0.00006670008,0.00006767425,0.0001053837,0.00004278807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007210453,0.0004124429,0.01284554,0.0002033559,0.000089212,0.0005508637,0.0004183231,0.3839077,0.1281888,0.0110378,0.003980331,0.4576446],"study_design_scores_gemma":[0.00004823682,0.0003451842,0.002614448,0.00001414916,0.00002219694,0.0002477258,0.00009724442,0.9707932,0.01829243,0.004322982,0.003176047,0.00002613223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2071671,0.0008193367,0.7838537,0.0003207681,0.0001470283,0.0001975462,0.00009850364,0.0007471323,0.006648917],"genre_scores_gemma":[0.9692509,0.0001444493,0.02958513,0.00007989081,0.00002440777,0.00002422253,0.00005584276,0.000008346046,0.0008268328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00246132,"threshold_uncertainty_score":0.004893959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009602699769576386,"score_gpt":0.2254031452568247,"score_spread":0.2158004454872483,"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."}}