{"id":"W3190696623","doi":"10.1109/icc42927.2021.9500953","title":"Unsupervised Deep Learning for Power Allocation in CRAN","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Deep learning; Computational complexity theory; Latency (audio); Distributed computing; Artificial intelligence; Cloud computing; Architecture; Cellular network; Algorithm; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006240773,0.0006977199,0.0008312133,0.0002636193,0.0002717688,0.0006085809,0.0009716706,0.0007929942,0.002505374],"category_scores_gemma":[0.001685017,0.0004647113,0.0003611865,0.0004256472,0.0007750161,0.0007571736,0.0008490519,0.001445728,0.0003633363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000918274,"about_ca_system_score_gemma":0.001239586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008687361,"about_ca_topic_score_gemma":0.01102378,"domain_scores_codex":[0.9997576,0.00006455904,0.000009623557,0.00004883407,0.000052503,0.00006677755],"domain_scores_gemma":[0.9995888,0.0002412859,0.00003603666,0.00002766576,0.0000787611,0.00002749044],"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":[0.00003254403,0.00002281088,0.0001873403,0.00002266347,0.00001287707,0.00001839139,0.00001191276,0.9727295,0.000639521,0.004271847,0.0006772019,0.02137338],"study_design_scores_gemma":[0.000001579339,0.000002556689,0.00001087764,9.639438e-7,7.431991e-7,0.00000166835,9.48043e-7,0.9988954,0.00007812987,0.0009453928,0.00006092419,6.570053e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.026571,0.00060038,0.9681026,0.0003236059,0.00005186348,0.00002988973,0.00006324797,0.0005377503,0.003719669],"genre_scores_gemma":[0.8708182,0.0003635579,0.1227305,0.0002953794,0.00006717387,0.0001033834,0.0001643488,0.0001205058,0.005337084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008687361,"threshold_uncertainty_score":0.01727355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007987632785289939,"score_gpt":0.2204073442561063,"score_spread":0.2124197114708163,"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."}}