{"id":"W3039773415","doi":"10.1109/icc40277.2020.9148591","title":"A Maximin Optimal Online Power Control Policy for Energy Harvesting Communications","year":2020,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Minimax; Energy harvesting; Limit (mathematics); Computer science; Mathematical optimization; Fraction (chemistry); Optimal control; Battery (electricity); Power (physics); Energy (signal processing); Control (management); Process (computing); Power control; Control theory (sociology); Mathematics; Physics; Statistics","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":[0.001143319,0.0009445705,0.0008909625,0.0004506827,0.0003530885,0.0009268412,0.000826614,0.000789571,0.001604638],"category_scores_gemma":[0.003656645,0.0003212561,0.0003785384,0.0005225156,0.001224472,0.001289352,0.0008072324,0.0008700333,0.0002750781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131449,"about_ca_system_score_gemma":0.0007565839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001767,"about_ca_topic_score_gemma":0.0007014681,"domain_scores_codex":[0.9993987,0.0002145541,0.00002496252,0.0001366735,0.0001256744,0.00009938384],"domain_scores_gemma":[0.9983684,0.001189236,0.0001692392,0.00008782885,0.0001251906,0.00006005318],"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":[0.0001713435,0.00007270712,0.0003046313,0.00008817804,0.00002493432,0.00008376282,0.0001061609,0.8975496,0.005418209,0.05963846,0.001179702,0.03536224],"study_design_scores_gemma":[0.000006840351,0.00003196957,0.00005603268,0.000006292379,0.000003713931,0.00001626123,0.000006547646,0.9904559,0.000771718,0.008360406,0.0002781144,0.000006231532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01392026,0.0001671698,0.9837734,0.0001350825,0.00002642961,0.0000233441,0.00001863066,0.0001112594,0.001824409],"genre_scores_gemma":[0.9382223,0.0002455788,0.05870232,0.0001045201,0.0000406429,0.00009136973,0.0000293706,0.0000533354,0.002510567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001604638,"threshold_uncertainty_score":0.008209229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269600933131943,"score_gpt":0.2469113482611918,"score_spread":0.2199512549479975,"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."}}