{"id":"W4414539207","doi":"10.1109/icc52391.2025.11161774","title":"Energy and QoS-Aware Functional Split Selection in 5G and Beyond O-RAN Networks","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Key (lock); Energy consumption; Cellular network; Flexibility (engineering); Software deployment; Interoperability; Radio access network; Computation; Quality of service; Selection (genetic algorithm)","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":[0.0005981991,0.0007935529,0.0005663629,0.0003319957,0.0004002742,0.0007430412,0.0007571323,0.0004809333,0.001252744],"category_scores_gemma":[0.0007948058,0.000250412,0.0003725002,0.0005281767,0.0003959075,0.0008468582,0.0007036113,0.0004033694,0.0001362485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005724912,"about_ca_system_score_gemma":0.0007031628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716406,"about_ca_topic_score_gemma":0.005606061,"domain_scores_codex":[0.9995952,0.0001519291,0.00001118241,0.00005927049,0.00007242433,0.0001099127],"domain_scores_gemma":[0.9997036,0.0001560095,0.00004034051,0.00002066825,0.00004721494,0.00003205823],"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":[0.0002004325,0.00006632748,0.001114029,0.00006424053,0.00003431521,0.0001619505,0.00005025739,0.9180425,0.007898785,0.01059577,0.001137633,0.06063374],"study_design_scores_gemma":[0.000007770332,0.00005979061,0.0002256095,0.000004922702,0.000012267,0.00004127002,0.00003325885,0.9951681,0.001068899,0.002930601,0.0004422669,0.000005316211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1497959,0.0009937882,0.841268,0.0002964881,0.00005840428,0.00005945643,0.0000747891,0.0002068285,0.007246347],"genre_scores_gemma":[0.9472368,0.0002491912,0.05133195,0.00006107782,0.00002185472,0.00002814196,0.00004859551,0.00001994812,0.001002357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002716406,"threshold_uncertainty_score":0.005401194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003397594897823535,"score_gpt":0.1821145764917434,"score_spread":0.1787169815939198,"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."}}