{"id":"W2015761588","doi":"10.1109/icc.2012.6363948","title":"Joint load balancing and admission control in OFDMA-based femtocell networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Université du Québec à Montréal","funders":"","keywords":"Femtocell; Computer science; Macrocell; Computer network; Throughput; Power control; Admission control; Transmitter power output; Cellular network; Markov decision process; Base station; Distributed computing; Markov process; Power (physics); Quality of service; Wireless","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001695325,0.0001028352,0.0001450962,0.00004793796,0.00001776666,0.00001051343,0.00002469031,0.00007308307,0.00005228699],"category_scores_gemma":[0.00002201378,0.00009386217,0.00001498785,0.0000894029,0.000005837483,0.0001647749,0.000007241647,0.00009015186,0.000005773275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017589,"about_ca_system_score_gemma":0.000008754146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001981558,"about_ca_topic_score_gemma":0.0000176645,"domain_scores_codex":[0.9994164,0.000017156,0.0001840223,0.00008361087,0.0000593238,0.0002394588],"domain_scores_gemma":[0.9997264,0.0000357514,0.00002278385,0.0000924041,0.00001845266,0.0001042365],"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":[0.000005791936,0.000009053815,0.0163724,0.00003966285,0.000003060747,6.603955e-7,0.00004674737,0.9781355,0.003778328,0.00002416513,0.000200201,0.001384484],"study_design_scores_gemma":[0.0008216139,0.000006667721,0.002717212,0.0000734702,0.000004417492,0.000001346535,0.00002291548,0.9943768,0.001532384,0.000003696863,0.0003204167,0.0001190821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01960841,0.002009289,0.9758552,0.00002908729,0.0002317219,0.000243421,8.780445e-7,0.0001958379,0.001826203],"genre_scores_gemma":[0.9957418,0.00003155218,0.003913017,0.0000803888,0.00009377561,0.00002355347,0.000002375515,0.0000243488,0.00008913814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9761335,"threshold_uncertainty_score":0.3827588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006920917219282454,"score_gpt":0.1952483813361019,"score_spread":0.1883274641168194,"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."}}