{"id":"W2726670099","doi":"10.1631/fitee.1700031","title":"Joint user association and resource partition for downlink-uplink decoupling inmulti-tier HetNets","year":2017,"lang":"en","type":"article","venue":"Frontiers of Information Technology & Electronic Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Telecommunications link; Computer science; Computer network; Base station; Transmitter power output; Cellular network; Heterogeneous network; Decoupling (probability); Partition (number theory); User equipment; Wireless; Distributed computing; Wireless network; Engineering; Mathematics; Transmitter; Telecommunications; 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":[0.0003289782,0.000190862,0.0002939405,0.0004499636,0.0001739536,0.0000604412,0.0001918005,0.0003947303,0.000001117815],"category_scores_gemma":[0.0004229279,0.0002202683,0.00005244504,0.0001212136,0.0000302157,0.001258831,0.00004275162,0.000303735,0.000002550601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004926994,"about_ca_system_score_gemma":0.00002409283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002630877,"about_ca_topic_score_gemma":0.000003248093,"domain_scores_codex":[0.9988192,0.000002991942,0.0005148422,0.0001201614,0.0001096955,0.0004330882],"domain_scores_gemma":[0.9990934,0.00002205572,0.0003673081,0.0003308164,0.0001476159,0.00003886721],"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":[0.0000182545,0.000008896195,0.002610566,0.0002984161,0.0001933518,1.901652e-7,0.0002603669,0.9700238,0.003802189,0.004450543,0.002485197,0.01584829],"study_design_scores_gemma":[0.0009289647,0.00006608306,0.0004954811,0.0000772466,0.00003792972,0.000005155814,0.0001368068,0.9488125,0.03345376,0.000515028,0.01518546,0.0002855835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04400808,0.0009172235,0.9534377,0.0001698973,0.0003097856,0.0004954935,0.00001163538,0.0005534802,0.00009667408],"genre_scores_gemma":[0.9270387,0.0003513359,0.0722317,0.00001068321,0.00004546669,0.0001695484,0.00007364611,0.00003806649,0.00004088777],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8830306,"threshold_uncertainty_score":0.898228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002992059892863698,"score_gpt":0.1871696983734141,"score_spread":0.1841776384805504,"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."}}