{"id":"W4317795075","doi":"10.1109/twc.2022.3231625","title":"Fully-Decoupled Radio Access Networks: A Resilient Uplink Base Stations Cooperative Reception Framework","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; Base station; Power control; Radio access network; Computer network; Fading; Transmission (telecommunications); C-RAN; Channel (broadcasting); Telecommunications; Power (physics); Mobile station","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":[0.0009478515,0.0009232875,0.0005978981,0.0003595736,0.0004414845,0.0008026027,0.001745348,0.0007044365,0.001634125],"category_scores_gemma":[0.0009442933,0.0003904166,0.0006116513,0.0005157942,0.0009394027,0.001124677,0.00140286,0.001054258,0.0002746088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006443945,"about_ca_system_score_gemma":0.001041637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002422265,"about_ca_topic_score_gemma":0.002888478,"domain_scores_codex":[0.9992437,0.0002813709,0.00001720257,0.0001287001,0.0001816998,0.0001473503],"domain_scores_gemma":[0.9995905,0.0001724671,0.00005262489,0.00005793731,0.00008019625,0.00004631282],"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":[0.00005129829,0.00005980849,0.0002095781,0.00004636129,0.00003226973,0.000127011,0.00006242201,0.9456786,0.005271303,0.03191299,0.0007468782,0.01580147],"study_design_scores_gemma":[0.00000433085,0.00002721615,0.0000335575,0.000001599108,0.000004963355,0.00001595104,0.000009807275,0.996563,0.0002647597,0.002784789,0.0002859226,0.000004057448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01407494,0.0002137947,0.9825499,0.00009332326,0.00002601586,0.0000285324,0.00002364506,0.0001043494,0.002885508],"genre_scores_gemma":[0.8691742,0.0004229765,0.1266253,0.0001095469,0.00008311056,0.00009617522,0.00006270117,0.00004394312,0.003382075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002422265,"threshold_uncertainty_score":0.0054667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03168584902688445,"score_gpt":0.299100136093683,"score_spread":0.2674142870667986,"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."}}