{"id":"W6902059465","doi":"10.60692/thbg0-m9379","title":"Cross-layer distributed power control: a repeated game formulation to improve the sum energy efficiency","year":2015,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Queue; Nash equilibrium; Efficient energy use; Repeated game; Power (physics); Network packet; Energy (signal processing); Work (physics)","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":[0.0002848612,0.0002213601,0.0002099897,0.000139926,0.00009913872,0.0002404709,0.0001848254,0.0001259622,0.000006616545],"category_scores_gemma":[0.00004648493,0.0001634278,0.00005552532,0.0004777701,0.00001623924,0.0009309227,0.00003591388,0.00008784818,0.0001789544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183136,"about_ca_system_score_gemma":0.00002143567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005738897,"about_ca_topic_score_gemma":3.070478e-7,"domain_scores_codex":[0.9985625,0.00003626944,0.0006001282,0.0001374954,0.0003263341,0.0003372786],"domain_scores_gemma":[0.9988227,0.00001238755,0.0001747654,0.0004299573,0.0004100972,0.0001501314],"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":[0.00006300875,0.000001031766,0.002771205,0.00002691668,0.00002103604,6.457778e-7,0.008186406,0.988296,0.000006765833,0.0002420813,0.0001431474,0.0002417328],"study_design_scores_gemma":[0.001474063,0.00004466188,0.005294284,0.00004208713,0.0000148163,0.00001049488,0.001176294,0.9897348,0.000644086,0.000001845498,0.001315907,0.000246687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1818313,0.000005018353,0.8153204,0.00002204016,0.0006250162,0.0004275073,0.0001399627,0.0006576484,0.000971115],"genre_scores_gemma":[0.9992967,9.756305e-8,0.0002272108,0.00008876521,0.00007866781,0.00009722843,0.0001178166,0.00002683946,0.00006662212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8174655,"threshold_uncertainty_score":0.6664392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359301383223677,"score_gpt":0.2068391224669093,"score_spread":0.1932461086346725,"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."}}