{"id":"W2020661221","doi":"10.1109/tcomm.2013.021513.100278","title":"Energy-Aware Power Allocation in Cooperative Communication Systems with Imperfect CSI","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transmitter power output; Computer science; Relay; Power budget; Channel state information; Quality of service; Computer network; Communications system; Power (physics); Transmission (telecommunications); Signal-to-noise ratio (imaging); Efficient energy use; Energy (signal processing); Wireless; Imperfect; Electronic engineering; Channel (broadcasting); Telecommunications; Power control; Engineering; Electrical engineering; Transmitter; 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":[0.0009548068,0.0006136189,0.0006687511,0.0003620553,0.000424667,0.0007331001,0.0008055039,0.0005789999,0.000429337],"category_scores_gemma":[0.002607418,0.0003469146,0.0002391178,0.0006103648,0.0009833013,0.001256118,0.0009506321,0.0004416224,0.0001508922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005592968,"about_ca_system_score_gemma":0.0005734912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224417,"about_ca_topic_score_gemma":0.001646221,"domain_scores_codex":[0.9993537,0.000250501,0.00003404925,0.0001041117,0.0001763628,0.00008129438],"domain_scores_gemma":[0.9988689,0.0007079146,0.0001624421,0.0001005645,0.000135511,0.00002472994],"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":[0.00008886802,0.00003524211,0.0003859356,0.00006396072,0.00002421003,0.0001232974,0.000184257,0.9402345,0.007482171,0.01533249,0.0004010616,0.03564402],"study_design_scores_gemma":[0.00001327522,0.00005700615,0.000132286,0.000007163001,0.00001195064,0.00006087163,0.00004310451,0.9855833,0.002015864,0.01165878,0.00040498,0.00001135721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0606362,0.0005693959,0.9355181,0.0001658906,0.00001629645,0.00002587351,0.00002054276,0.0001247226,0.002922965],"genre_scores_gemma":[0.9778024,0.0002171922,0.02115801,0.0000347257,0.00001527855,0.00002656228,0.00001049704,0.000009148023,0.0007261113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001224417,"threshold_uncertainty_score":0.005049586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598699301321759,"score_gpt":0.2581110792061994,"score_spread":0.2321240861929818,"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."}}