{"id":"W2010444331","doi":"10.1109/jcn.2014.000094","title":"Power allocation framework for OFDMA-based decode-and-forward cellular relay networks","year":2014,"lang":"en","type":"article","venue":"Journal of Communications and Networks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Relay; Telecommunications link; Orthogonal frequency-division multiple access; Cellular network; Computer network; Power (physics); Resource allocation; Base station; Knapsack problem; Scheme (mathematics); Mathematical optimization; Orthogonal frequency-division multiplexing; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009950185,0.0009366116,0.0009507101,0.0004628513,0.00063105,0.00114888,0.001387391,0.0008327481,0.001947145],"category_scores_gemma":[0.001395052,0.0003327825,0.0004796752,0.0006941285,0.0008137771,0.001304822,0.0008773964,0.001087565,0.000546682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209031,"about_ca_system_score_gemma":0.0009479459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002810896,"about_ca_topic_score_gemma":0.003146889,"domain_scores_codex":[0.9993648,0.0002571795,0.0000240701,0.00009987957,0.000182976,0.0000711493],"domain_scores_gemma":[0.9996432,0.0001709807,0.00003759499,0.00002756398,0.00009897735,0.00002172685],"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":[0.0000456358,0.00007199739,0.0001612587,0.0001146002,0.00003158773,0.000288267,0.000233011,0.7040676,0.005008018,0.2378697,0.002618483,0.04948982],"study_design_scores_gemma":[0.000008440814,0.00004018121,0.00004097766,0.000008854387,0.00001027361,0.00007145813,0.0000317878,0.9716908,0.0005405589,0.02499138,0.002554873,0.00001032163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002514051,0.0004518401,0.993566,0.0001112792,0.00003499605,0.00003137424,0.00002429577,0.00006094126,0.003205261],"genre_scores_gemma":[0.6698078,0.002450841,0.315347,0.0002032701,0.0002141846,0.0004154207,0.00008925382,0.00008352491,0.01138867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002810896,"threshold_uncertainty_score":0.008772194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236229432684266,"score_gpt":0.2850686972271793,"score_spread":0.2614457539587527,"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."}}