{"id":"W2025601618","doi":"10.1109/vtcspring.2013.6692789","title":"Trade-Off between Spectral and Energy Efficiencies in a Fading Communication Link","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fading; Nakagami distribution; Channel (broadcasting); Spectral efficiency; Wireless; Mathematical optimization; Constraint (computer-aided design); Computer science; Efficient energy use; Power (physics); Ergodic theory; Amplifier; Function (biology); Topology (electrical circuits); Mathematics; Telecommunications; Electrical engineering; Engineering; Physics; Bandwidth (computing)","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":[0.0008582359,0.0005848714,0.0006101801,0.0004010363,0.0003404936,0.001263155,0.0005345757,0.0007388967,0.000883212],"category_scores_gemma":[0.003896027,0.0002744076,0.0002023259,0.0007363468,0.001205931,0.001691175,0.0007547573,0.0003730123,0.0002909986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005621918,"about_ca_system_score_gemma":0.0003680696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003729225,"about_ca_topic_score_gemma":0.0004256222,"domain_scores_codex":[0.9993843,0.0002024669,0.00002761493,0.00009887465,0.0001422232,0.0001444272],"domain_scores_gemma":[0.9979996,0.001513458,0.0001959569,0.0001231387,0.0001363625,0.00003153026],"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":[0.0001170362,0.00004552345,0.002317668,0.0001243615,0.00005456171,0.0003301622,0.0001259669,0.8576071,0.05808216,0.04448252,0.0002693544,0.03644348],"study_design_scores_gemma":[0.00002414363,0.0003325626,0.003172854,0.00005333424,0.00006557921,0.0006616498,0.0001584432,0.9015158,0.0446265,0.04738541,0.001951595,0.00005205524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3052417,0.001115807,0.6790073,0.0003135625,0.00001657506,0.00003804557,0.00006931281,0.0002225912,0.01397513],"genre_scores_gemma":[0.9814516,0.0005385444,0.01679218,0.00005464684,0.00001226349,0.00003581463,0.00001177853,0.00002433209,0.001078878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001263155,"threshold_uncertainty_score":0.004538834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009837896803898244,"score_gpt":0.2075603104235311,"score_spread":0.1977224136196329,"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."}}