{"id":"W2050201442","doi":"10.1109/tvt.2012.2235867","title":"On the Tradeoff Between Spectral Efficiency and Energy Efficiency of Homogeneous Cellular Networks With Outage Constraint","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Spectral efficiency; Telecommunications link; Base station; Mathematical optimization; Constraint (computer-aided design); Interference (communication); Cellular network; Transmission (telecommunications); Signal-to-noise ratio (imaging); Efficient energy use; Mode (computer interface); Computer science; Mathematics; Topology (electrical circuits); Engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268073,0.0002417898,0.0002922504,0.0002825381,0.0001389365,0.000008982668,0.0001776583,0.0002768642,0.00001510424],"category_scores_gemma":[0.000004373797,0.0001827596,0.00006260015,0.0005468194,0.0003397234,0.00005839526,0.0000015005,0.0003841281,0.000003296775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006209283,"about_ca_system_score_gemma":0.00001156686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006392946,"about_ca_topic_score_gemma":0.00000730417,"domain_scores_codex":[0.998912,0.00003917388,0.0002784864,0.000215691,0.0001375705,0.000417119],"domain_scores_gemma":[0.9993311,0.0001236118,0.00006184775,0.0003878663,0.00002944368,0.00006614881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008654767,0.00008813106,0.00005787273,0.00001783072,0.00007464075,0.00000719741,0.00009810932,0.9839971,0.007838473,0.003379605,0.000002752943,0.004429638],"study_design_scores_gemma":[0.00103771,0.0009587414,0.00004593506,0.0001663038,0.0002344619,0.0002245273,0.0004783246,0.3634393,0.6321815,0.0002277463,0.0002815237,0.0007239641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2355001,0.0004501566,0.7631909,0.00005683277,0.0001451406,0.0001721838,0.00001238537,0.0002925867,0.0001796867],"genre_scores_gemma":[0.9986795,0.00006215242,0.001095291,0.0000122208,0.00003187348,0.00004917691,0.000002290115,0.0000470202,0.00002051305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7631793,"threshold_uncertainty_score":0.7452722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005566405813384695,"score_gpt":0.1792404371100655,"score_spread":0.1736740312966809,"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."}}