{"id":"W2281592530","doi":"10.1109/twc.2015.2504084","title":"Low-Complexity SINR Feasibility Checking and Joint Power and Admission Control in Prioritized Multitier Cellular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macrocell; Telecommunications link; Computer science; Underlay; Femtocell; Cellular network; Base station; Power control; Signal-to-interference-plus-noise ratio; Computer network; Wireless network; Interference (communication); Wireless; Transmitter power output; Power (physics); Signal-to-noise ratio (imaging); Algorithm; Telecommunications; Transmitter","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00225615,0.000865061,0.0007543298,0.0006635155,0.0006093439,0.001687143,0.001278897,0.0007298235,0.001523978],"category_scores_gemma":[0.01248321,0.0006809709,0.0007044157,0.0007560303,0.001342098,0.002033091,0.001577385,0.001614765,0.0002499254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325588,"about_ca_system_score_gemma":0.002535318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005966802,"about_ca_topic_score_gemma":0.004919097,"domain_scores_codex":[0.9978218,0.0008285904,0.0001150749,0.0002906285,0.0006326169,0.0003113897],"domain_scores_gemma":[0.9917457,0.006451848,0.0005892028,0.0004523504,0.0006061103,0.0001547893],"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":[0.0002148369,0.00008386032,0.001163087,0.00007989068,0.00003446475,0.0002391012,0.0001618813,0.9001862,0.00483533,0.03020164,0.0006681635,0.06213163],"study_design_scores_gemma":[0.000006483611,0.00001344439,0.00006280444,0.000003701021,0.000003541714,0.00002028809,0.00000827463,0.9940117,0.0008587194,0.004921932,0.00008437168,0.000004681756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02095538,0.0001706772,0.9769383,0.0001276958,0.00002228381,0.00004603261,0.00001845058,0.0002604031,0.001460847],"genre_scores_gemma":[0.7515184,0.0003025907,0.2464493,0.00009484094,0.0000749074,0.000128184,0.00007845677,0.00007520968,0.001278194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005966802,"threshold_uncertainty_score":0.01193184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04344621662619554,"score_gpt":0.2659850662891786,"score_spread":0.222538849662983,"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."}}