{"id":"W2156660835","doi":"10.1109/vetecs.2012.6239952","title":"Power Allocation in Energy Harvesting Relay Systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Relay; Computer science; Transmitter power output; Mathematical optimization; Energy harvesting; Optimization problem; Convex optimization; Throughput; Power (physics); Transmission (telecommunications); Energy (signal processing); Online algorithm; Wireless; Computer network; Regular polygon; Telecommunications; Mathematics; Algorithm; Channel (broadcasting)","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":[0.0005739664,0.0005296612,0.000665853,0.0001934694,0.0002745188,0.0009430823,0.0007873332,0.0008188717,0.001649434],"category_scores_gemma":[0.001580198,0.000331339,0.0002364307,0.0004781528,0.000737773,0.001304195,0.0006735672,0.0005464395,0.00034431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005036802,"about_ca_system_score_gemma":0.0003150855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005484672,"about_ca_topic_score_gemma":0.0005488858,"domain_scores_codex":[0.999493,0.0002264956,0.00002176635,0.0001159547,0.00009265615,0.00004998167],"domain_scores_gemma":[0.9995306,0.0003189743,0.00005720131,0.00004228683,0.00003818061,0.00001288113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001092015,0.00005865553,0.0003280238,0.000098306,0.00003252655,0.000179657,0.0001130112,0.8987707,0.01185909,0.03621154,0.0009176818,0.05132164],"study_design_scores_gemma":[0.00001933656,0.00005299287,0.0001004003,0.000006616371,0.00000838808,0.0000514554,0.00002103424,0.9792741,0.001968476,0.01766013,0.0008274744,0.000009666367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02578737,0.0005731944,0.9688157,0.0001914667,0.00002202313,0.00003886511,0.00002928767,0.0001271144,0.004414977],"genre_scores_gemma":[0.9323969,0.0006386077,0.06217334,0.00007663661,0.00003758381,0.00009697612,0.00003027303,0.00003753202,0.004512119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001649434,"threshold_uncertainty_score":0.0055179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008938164233105882,"score_gpt":0.1939630510150736,"score_spread":0.1850248867819677,"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."}}