{"id":"W1972351246","doi":"10.1109/icc.2013.6655535","title":"Energy-efficient power allocation for multicarrier systems with delay-outage probability constraints","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Subcarrier; Fading; Mathematical optimization; Transmission (telecommunications); Power (physics); Computer science; Efficient energy use; Channel (broadcasting); Control theory (sociology); Orthogonal frequency-division multiplexing; Mathematics; Telecommunications; Engineering; Electrical engineering","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":[0.0007255981,0.00080942,0.0007565413,0.0003537447,0.0004383996,0.0008096815,0.0008325918,0.0005665651,0.001278465],"category_scores_gemma":[0.001819859,0.000294571,0.0003127684,0.0007847545,0.0005980856,0.0009058784,0.0008144198,0.0005868218,0.0002532027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006689337,"about_ca_system_score_gemma":0.0005719736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000937901,"about_ca_topic_score_gemma":0.001180832,"domain_scores_codex":[0.9993597,0.0002188895,0.00002960481,0.00008688003,0.0002039765,0.0001010055],"domain_scores_gemma":[0.9995384,0.0002737982,0.00006662877,0.0000405228,0.00006364961,0.00001701984],"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":[0.00008978691,0.00005377618,0.0002481537,0.00008790328,0.00002988911,0.00008179714,0.00008210367,0.9191687,0.009534748,0.02904263,0.0004947748,0.0410857],"study_design_scores_gemma":[0.00001185665,0.00004385295,0.00008650864,0.000005675764,0.000007067707,0.00003280045,0.00001385063,0.9900831,0.001789467,0.007387568,0.0005316457,0.000006464684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0257912,0.0004332686,0.970728,0.0001137468,0.00002179318,0.00002827103,0.00002193404,0.00006489125,0.002796848],"genre_scores_gemma":[0.8904434,0.0005237939,0.1059905,0.00007444516,0.00005162826,0.0000919275,0.00002497413,0.00003822655,0.002761144],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001278465,"threshold_uncertainty_score":0.004853427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006050105042833312,"score_gpt":0.1854173541060551,"score_spread":0.1793672490632218,"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."}}