{"id":"W2170777543","doi":"10.1109/tmc.2007.70727","title":"A Noncooperative Game-Theoretic Framework for Radio Resource Management in 4G Heterogeneous Wireless Access Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer network; Computer science; Wireless network; Quality of service; Bandwidth allocation; Dynamic bandwidth allocation; Heterogeneous wireless network; Bandwidth (computing); Resource allocation; Radio resource management; Handover; Call Admission Control; Heterogeneous network; Wireless; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003887846,0.0003513974,0.0004249429,0.0002369085,0.0004745313,0.0002542275,0.001252091,0.0001940647,0.00001278135],"category_scores_gemma":[0.000002320859,0.0003554705,0.0002027667,0.00096175,0.0001201963,0.0002584426,0.0000278527,0.0005930508,0.000007852034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542717,"about_ca_system_score_gemma":0.00004391899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001134195,"about_ca_topic_score_gemma":0.00000985146,"domain_scores_codex":[0.9974097,0.0002274933,0.0005476612,0.0008270742,0.000282881,0.0007052067],"domain_scores_gemma":[0.9981617,0.0007473413,0.0001568866,0.0007244124,0.00006217873,0.0001474228],"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":[0.000068546,0.0001941859,0.00001547527,0.000035106,0.00004337251,0.00007188554,0.0007934815,0.8549477,0.000003198433,0.002673076,0.00006513466,0.1410889],"study_design_scores_gemma":[0.0009731241,0.0003377336,0.0000364354,0.0003647327,0.00001269432,0.00007078046,0.00003590444,0.9948493,0.001033241,0.001039085,0.0008255782,0.0004214105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01884471,0.0001062511,0.9734726,0.00008309462,0.0005266604,0.006524037,0.000003434925,0.0002614236,0.0001778053],"genre_scores_gemma":[0.9572805,0.00009287579,0.03771351,0.0003860368,0.0001867229,0.004219206,0.000001860723,0.00004679952,0.00007246859],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9384358,"threshold_uncertainty_score":0.9998897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524906189674071,"score_gpt":0.297452862958172,"score_spread":0.2722038010614313,"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."}}