{"id":"W4417439082","doi":"10.1109/tce.2025.3645185","title":"Enabling Seamless Connectivity in Consumer Electronics: A DRL Approach for Scalable Cell-Free mMIMO Handover Under O-RAN","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs","keywords":"Handover; Scalability; Software deployment; Throughput; Latency (audio); Radio access technology; Context (archaeology); Reinforcement learning; Low latency (capital markets)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004501772,0.0004919078,0.0004001698,0.0001610553,0.0002097601,0.0005826337,0.0007571786,0.0005224289,0.0009721775],"category_scores_gemma":[0.0007615798,0.000217931,0.000288684,0.0001553671,0.0004853223,0.0007489196,0.0007843344,0.0006832373,0.0002318404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005901539,"about_ca_system_score_gemma":0.0005193388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002881188,"about_ca_topic_score_gemma":0.004065876,"domain_scores_codex":[0.9997719,0.00006949285,0.000006151041,0.00004280901,0.00005029187,0.00005931093],"domain_scores_gemma":[0.9997336,0.0001192294,0.00004284385,0.00002354142,0.00005335431,0.00002737428],"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":[0.00005577943,0.00007239678,0.0008245903,0.00003682677,0.00001894808,0.00009810119,0.00004056574,0.9541305,0.005805864,0.005643622,0.0006046338,0.03266811],"study_design_scores_gemma":[0.00000170805,0.00002161018,0.00005697065,0.000001433582,0.000002233264,0.000008031556,0.000005162263,0.998917,0.0002340075,0.0006221248,0.0001280048,0.000001802287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08167838,0.0004246449,0.9086897,0.0004598857,0.0000409181,0.00003358655,0.00003580012,0.0003412761,0.008295859],"genre_scores_gemma":[0.974533,0.0001344895,0.02364277,0.0001176453,0.00001873874,0.00002019528,0.00001937457,0.00001909378,0.001494617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002881188,"threshold_uncertainty_score":0.005728781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116505181322932,"score_gpt":0.2386324245637722,"score_spread":0.2274673727505429,"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."}}