{"id":"W2113211994","doi":"10.1109/glocom.2007.961","title":"Admission Control Framework for Delay Bounded Traffic in Cellular Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Handover; Computer science; Admission control; Scheduling (production processes); Computer network; Quality of service; A priori and a posteriori; Bounded function; Cellular network; Interval (graph theory); Real-time computing; Distributed computing; 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":[0.001787561,0.001115545,0.001055492,0.0006711841,0.0008315615,0.002319886,0.001982912,0.001259714,0.001978853],"category_scores_gemma":[0.003691537,0.0002858085,0.000581492,0.0008678933,0.001496912,0.00134372,0.001311337,0.002050228,0.0003654656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003372225,"about_ca_system_score_gemma":0.002497689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01302488,"about_ca_topic_score_gemma":0.004303609,"domain_scores_codex":[0.9977399,0.000740702,0.00007968235,0.0002342274,0.0009131808,0.0002922453],"domain_scores_gemma":[0.9988515,0.0005996964,0.00009072148,0.00007136392,0.0003020395,0.00008462828],"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":[0.0000538694,0.00004765996,0.0001668019,0.00005890453,0.00002477821,0.0001043867,0.0001456107,0.7543856,0.002015894,0.2202905,0.001535191,0.02117071],"study_design_scores_gemma":[0.00000959894,0.00001270524,0.00002557226,0.000005889984,0.000004993199,0.000009324566,0.00001177683,0.976118,0.0001558578,0.02265357,0.0009869123,0.00000577594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005665882,0.0006302354,0.9884289,0.0003497376,0.0001111566,0.0000637326,0.00004807689,0.0002017324,0.004500614],"genre_scores_gemma":[0.894282,0.001284315,0.09561888,0.0002143626,0.0004408485,0.0004295083,0.0001508468,0.00006640581,0.007512858],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01302488,"threshold_uncertainty_score":0.0258981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005836397060299586,"score_gpt":0.2274153233451089,"score_spread":0.2215789262848093,"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."}}