{"id":"W2889389406","doi":"10.1109/iwcmc.2018.8450492","title":"Power Allocation for SCMA Downlink Systems Based on Maximum Energy Efficiency","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Efficient energy use; Telecommunications link; Resource allocation; Mathematical optimization; Power (physics); Energy (signal processing); Code division multiple access; Resource management (computing); Quality of service; Distributed computing; Computer network; Engineering; Mathematics; 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":[0.0002883795,0.0004462111,0.0004767221,0.0003052468,0.000337348,0.0005776759,0.0003745101,0.0003097272,0.001092648],"category_scores_gemma":[0.001030724,0.0001771859,0.0002043216,0.0005430386,0.0004396864,0.0005503881,0.0004442707,0.0004080422,0.0001998602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004496524,"about_ca_system_score_gemma":0.0006108577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009914809,"about_ca_topic_score_gemma":0.001489892,"domain_scores_codex":[0.9997204,0.0000864375,0.00001230926,0.00003820753,0.0001054383,0.00003715606],"domain_scores_gemma":[0.999734,0.0001300945,0.00003029856,0.00002147942,0.00007086997,0.00001321613],"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":[0.0001516537,0.00008426466,0.0008746656,0.0001259637,0.00004853697,0.0001118605,0.0001118559,0.7901309,0.02646154,0.04059933,0.002141498,0.1391579],"study_design_scores_gemma":[0.00001000198,0.00002901128,0.00008862471,0.000004629364,0.000004912987,0.00003347251,0.00001249585,0.9918724,0.00219757,0.005149315,0.0005932377,0.000004312069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02322531,0.0002817093,0.9724407,0.0001352381,0.0000229802,0.00002633312,0.00001568449,0.0000734711,0.003778605],"genre_scores_gemma":[0.8664107,0.0004426346,0.1303931,0.00008801426,0.00005293716,0.00008089308,0.00004385131,0.0000290966,0.002458721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001092648,"threshold_uncertainty_score":0.003655255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068957849225752,"score_gpt":0.2314810717229897,"score_spread":0.2207914932307322,"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."}}