{"id":"W4322749507","doi":"10.2139/ssrn.4374897","title":"Autonomous Handover Parameter Optimisation for 5g Cellular Networks Using Deep Deterministic Policy Gradient","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Handover; Computer science; Cellular network; Computer network; Artificial intelligence; Mathematical optimization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001132611,0.001142778,0.001831845,0.0005004529,0.0004873642,0.0012549,0.0009705755,0.002001383,0.003101101],"category_scores_gemma":[0.004137623,0.0008353422,0.0005982738,0.0004324239,0.001158737,0.0009789757,0.001588007,0.001686283,0.0004049223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327174,"about_ca_system_score_gemma":0.002080851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01406945,"about_ca_topic_score_gemma":0.01027721,"domain_scores_codex":[0.9995654,0.0001424594,0.00001569153,0.00006722331,0.00008138126,0.0001278141],"domain_scores_gemma":[0.9982786,0.001338756,0.00009753449,0.0000500719,0.0001579837,0.00007692338],"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":[0.00004514546,0.00001625091,0.0001309157,0.00001458222,0.00001104229,0.00001589601,0.00001349811,0.9936954,0.000154865,0.001375946,0.0002603873,0.004266036],"study_design_scores_gemma":[0.000004131393,0.000007505956,0.00002021404,0.000001691039,0.000001371092,0.000001580391,0.00000235193,0.9992504,0.00003022971,0.0006499815,0.00002942341,0.000001217893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07107756,0.0007371075,0.9181229,0.0008195349,0.000126423,0.00008958526,0.0001120943,0.0005804795,0.00833427],"genre_scores_gemma":[0.9691471,0.0001176058,0.02744955,0.0001685707,0.00003841509,0.00008826422,0.00007491494,0.00006257754,0.002852921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01406945,"threshold_uncertainty_score":0.02797508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184267916372763,"score_gpt":0.2431855139126681,"score_spread":0.2313428347489405,"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."}}