{"id":"W2889214145","doi":"10.1109/tcc.2018.2867224","title":"User Association in Cloud RANs with Massive MIMO","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Cloud computing; Remote radio head; Optimization problem; Convex optimization; Resource allocation; Base station; Radio access network; Mathematical optimization; User equipment; Transmitter power output; Throughput; Computer network; Distributed computing; Regular polygon; Algorithm; Mathematics; Wireless; Mobile station; Channel (broadcasting)","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":[0.0001948774,0.0002060057,0.0002254932,0.0001752062,0.0001594218,0.00003797787,0.0001119119,0.0001399656,0.00002964729],"category_scores_gemma":[0.000007077797,0.000216943,0.00005004335,0.0005533194,0.00002683464,0.0001441678,8.499878e-7,0.0003270377,0.0000814844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005467333,"about_ca_system_score_gemma":0.00002163497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003708432,"about_ca_topic_score_gemma":0.000324487,"domain_scores_codex":[0.9988075,0.00005883271,0.0003328411,0.0002530322,0.0001908215,0.0003569794],"domain_scores_gemma":[0.9993643,0.0001636391,0.00008798657,0.0002105333,0.0001156727,0.00005786533],"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":[0.00002426413,0.00003228334,0.0001946945,0.0000237251,0.0000456012,0.000003739748,0.0008568036,0.9950026,0.0007506657,0.0000270618,0.0001240237,0.002914574],"study_design_scores_gemma":[0.001825237,0.0001810673,0.0002713008,0.0003512365,0.00004231949,0.00001098829,0.0003853953,0.9657854,0.02990578,0.00004146831,0.000686489,0.0005132447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1079653,0.00001443574,0.8882307,0.0000497837,0.001980993,0.0002677889,0.000007716466,0.0004328076,0.001050453],"genre_scores_gemma":[0.99057,0.000007453102,0.008604151,0.00004418867,0.0004379082,0.0000149078,0.000002413991,0.00006461678,0.0002543726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8826047,"threshold_uncertainty_score":0.884668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007686653918441501,"score_gpt":0.2202210035639929,"score_spread":0.2125343496455514,"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."}}