{"id":"W2786722981","doi":"10.1109/vtcfall.2017.8288227","title":"Fuzzy-Based Joint User Association and Resource Allocation in HetNets","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Base station; Bandwidth (computing); Bandwidth allocation; Heterogeneous network; User equipment; Fuzzy logic; Macro; Dynamic bandwidth allocation; Resource allocation; Signal-to-interference-plus-noise ratio; Real-time computing; Wireless; Wireless network; 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":[0.001084996,0.0007264609,0.0009094406,0.0004239961,0.0005779416,0.0009456925,0.001304166,0.0008660858,0.001141614],"category_scores_gemma":[0.001085542,0.0003069057,0.0005311233,0.0004059554,0.0007092947,0.0007863925,0.0007994747,0.0005150501,0.0001970544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006658289,"about_ca_system_score_gemma":0.0008711282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004330949,"about_ca_topic_score_gemma":0.005788028,"domain_scores_codex":[0.9992681,0.000204902,0.00003698015,0.0001519717,0.0002057714,0.0001323201],"domain_scores_gemma":[0.9995209,0.0002174124,0.00007544144,0.0000384179,0.0001095828,0.00003826557],"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":[0.0001618329,0.0001094209,0.0007693144,0.00006754608,0.00008529826,0.0001934985,0.0001044642,0.9200875,0.009875979,0.01346584,0.0005832716,0.05449611],"study_design_scores_gemma":[0.000008890247,0.00004822923,0.0001360501,0.000003923962,0.00001369887,0.00003820923,0.00001831151,0.9957684,0.001120439,0.002537111,0.0002987591,0.000008020967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03126628,0.000322317,0.9652836,0.00008297893,0.00004935069,0.00004997719,0.00002394975,0.0001132158,0.002808353],"genre_scores_gemma":[0.927676,0.0001953987,0.06964299,0.0001012143,0.00004424945,0.00006593771,0.00003077186,0.0000123067,0.002231096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004330949,"threshold_uncertainty_score":0.0086115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181055267795117,"score_gpt":0.222774501117915,"score_spread":0.2109639484399638,"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."}}