{"id":"W2539027132","doi":"10.1109/pimrc.2014.7136384","title":"Radio access virtualization: Cell follows user","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Computer network; User equipment; Virtualization; Wireless; Scheduling (production processes); Radio access network; Wireless network; Server; Distributed computing; Enhanced Data Rates for GSM Evolution; Base station; Cloud computing; Operating system; Engineering; Telecommunications","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":[0.0007194143,0.0005985755,0.0007506373,0.0002749085,0.0008450659,0.001496628,0.001563351,0.0005022752,0.002631767],"category_scores_gemma":[0.002677287,0.0001988717,0.0003994653,0.0005164096,0.0007476168,0.001535295,0.002314541,0.0009146206,0.000631783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004259406,"about_ca_system_score_gemma":0.0009597482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506852,"about_ca_topic_score_gemma":0.001678697,"domain_scores_codex":[0.9991198,0.0002547439,0.00002995413,0.0001596083,0.0001889135,0.0002470718],"domain_scores_gemma":[0.9983417,0.0003285392,0.0001473223,0.0006624773,0.0002629248,0.000257116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008090683,0.0004512741,0.008000221,0.000169106,0.0001989178,0.001058139,0.0006954526,0.3878075,0.07817498,0.1430801,0.01053519,0.3690199],"study_design_scores_gemma":[0.00002867167,0.000383791,0.001526892,0.00001791968,0.00005596049,0.0009960028,0.000223212,0.9532193,0.01335584,0.01964929,0.01049795,0.00004528457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1013635,0.0005353795,0.8841217,0.0002424891,0.0002601975,0.0001047108,0.00006527875,0.0009229062,0.01238375],"genre_scores_gemma":[0.961117,0.0001375266,0.03636711,0.0001362675,0.00007326002,0.00004805857,0.00004910796,0.00003476485,0.002036949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002631767,"threshold_uncertainty_score":0.008804083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007606455793624988,"score_gpt":0.2200458952046265,"score_spread":0.2124394394110015,"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."}}