{"id":"W4413212977","doi":"10.1109/tcomm.2025.3597810","title":"A Multi-Agent DRL-Based Dynamic Resource Allocation in O-RAN-Enabled TN-NTN Metaverse Services","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Qatar National Research Fund","keywords":"Computer science; Resource allocation; Resource (disambiguation); Computer network; Distributed computing","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":[0.0005256181,0.0005165248,0.000705531,0.0002127185,0.0005180913,0.001020886,0.001178797,0.0007548267,0.002097885],"category_scores_gemma":[0.0008579195,0.0002807477,0.0005015485,0.0002032664,0.000582138,0.0007100929,0.001537276,0.0008470144,0.0002627772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007593579,"about_ca_system_score_gemma":0.001321258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007502233,"about_ca_topic_score_gemma":0.006292391,"domain_scores_codex":[0.9996552,0.00007221742,0.00001396613,0.00009062242,0.00008017247,0.00008771957],"domain_scores_gemma":[0.9997364,0.00008131813,0.00004638054,0.00002017843,0.00005708017,0.00005863687],"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":[0.00007870713,0.00005899099,0.0005332498,0.00004527756,0.00002173285,0.0002103891,0.00006675839,0.9675644,0.00391945,0.00743326,0.0008784189,0.01918954],"study_design_scores_gemma":[0.000005304542,0.00001464792,0.00003176228,0.000002046804,0.000002785255,0.000009416719,0.000008052381,0.9988991,0.0002049936,0.0005814023,0.0002380749,0.000002309537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05750677,0.0003254053,0.9309348,0.0004528616,0.00008037305,0.00009733825,0.00006514497,0.0004373002,0.01009991],"genre_scores_gemma":[0.9497042,0.0001251084,0.04641468,0.000136565,0.00001625513,0.00008043815,0.00004491289,0.0000257624,0.003452091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007502233,"threshold_uncertainty_score":0.01491714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391676841734021,"score_gpt":0.2875243269563546,"score_spread":0.2636075585390144,"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."}}