{"id":"W3046142484","doi":"10.1109/icc40277.2020.9148626","title":"A game-theoretic approach to proportional fair resource sharing in 5G mobile networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Proportionally fair; Scheduling (production processes); Radio access network; Computer network; Distributed computing; Game theory; Slicing; Cellular network; Dynamic priority scheduling; Quality of service; Round-robin scheduling; Mathematical optimization; Base station; Mobile station; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009311729,0.0001227128,0.000149365,0.00005900347,0.00001554438,0.00002361821,0.0001401536,0.00006315347,0.0000388829],"category_scores_gemma":[0.00002186571,0.000124397,0.0000253387,0.0004095653,0.00001187956,0.0001026439,0.00004196643,0.000145707,0.00002819374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007705873,"about_ca_system_score_gemma":0.000005492886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000420804,"about_ca_topic_score_gemma":0.000002529595,"domain_scores_codex":[0.9991536,0.0000111353,0.0002642651,0.0002534853,0.00009660718,0.0002209376],"domain_scores_gemma":[0.9996868,0.00001341705,0.00001962979,0.0001473239,0.00001725413,0.0001155951],"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":[0.000007483224,0.0000104167,0.0003531861,0.00006245224,0.000004437761,0.00000172651,0.0005060618,0.9955282,0.0000984108,0.002616512,0.0002621965,0.0005489419],"study_design_scores_gemma":[0.0001722934,0.00002071653,0.00008058393,0.00002709942,0.000002187602,0.00000330327,0.0002558735,0.9978685,0.0001361318,0.0000715612,0.001207635,0.0001541208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006527803,0.0000878635,0.9558747,0.00003111739,0.00003595421,0.0006011874,0.000001167019,0.0004737391,0.0363665],"genre_scores_gemma":[0.985477,0.000003607985,0.01378733,0.0001330697,0.0001222544,0.0002298202,0.00002710475,0.00004726635,0.0001725781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9789492,"threshold_uncertainty_score":0.5072761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00996176772711771,"score_gpt":0.2044721118406776,"score_spread":0.1945103441135599,"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."}}