{"id":"W2756899528","doi":"10.1109/tvt.2017.2757034","title":"Efficiency of Power Ramping During Random Access in LTE","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retransmission; Telecommunications link; Control channel; Power (physics); Power control; Throughput; Computer network; Channel (broadcasting); Computer science; Random access; Engineering; Network packet; Telecommunications; Wireless","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":[0.001611265,0.0006615953,0.0005135187,0.0004738331,0.000414636,0.0006042076,0.0006503682,0.0004386218,0.00049324],"category_scores_gemma":[0.009692279,0.0001771813,0.0002144197,0.0003423951,0.0007346398,0.001236095,0.0005828234,0.000415476,0.0001083228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005088976,"about_ca_system_score_gemma":0.0004027437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001744071,"about_ca_topic_score_gemma":0.001544019,"domain_scores_codex":[0.9989225,0.0003531558,0.00006845884,0.0001356798,0.0002209455,0.0002993552],"domain_scores_gemma":[0.9916891,0.005680121,0.0009571344,0.0007750904,0.0006958146,0.0002027671],"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":[0.002952844,0.0003054993,0.04228365,0.0002771824,0.0001574807,0.001131008,0.0003567417,0.7564857,0.102238,0.004150832,0.0005748624,0.08908612],"study_design_scores_gemma":[0.00004740006,0.001502903,0.02375048,0.00003561043,0.0001260944,0.0009875579,0.0002314508,0.9119985,0.05791934,0.002815575,0.0005162832,0.00006889089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660134,0.0007944651,0.03089292,0.0001143176,0.00002191746,0.00002311429,0.0000525087,0.0003469345,0.001740479],"genre_scores_gemma":[0.9992859,0.00004028852,0.0005929904,0.00001256108,0.000002765533,0.00000331689,0.00001071571,0.000005493011,0.0000459286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001744071,"threshold_uncertainty_score":0.008521259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045948566657405,"score_gpt":0.2621356837797001,"score_spread":0.2516761981131261,"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."}}