{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056424,0.0007258201,0.0008064001,0.0003102426,0.0005735294,0.0008551453,0.001034997,0.000534632,0.001079692],"category_scores_gemma":[0.001474424,0.0002917495,0.0004690134,0.0004963462,0.0006812393,0.001167876,0.001908111,0.0006015896,0.0001842552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006986051,"about_ca_system_score_gemma":0.0009483515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002178713,"about_ca_topic_score_gemma":0.003971006,"domain_scores_codex":[0.9990164,0.0004241005,0.00003693072,0.0001369212,0.0001678306,0.0002177936],"domain_scores_gemma":[0.9994299,0.0002200974,0.00007752518,0.0001025653,0.00008583653,0.00008408757],"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":[0.0001827664,0.0001762367,0.00176256,0.00009161726,0.00009845995,0.0003248758,0.000205171,0.8311142,0.0165258,0.07722233,0.001312913,0.07098307],"study_design_scores_gemma":[0.00000744385,0.00006260754,0.0002863979,0.000005197572,0.00001661514,0.00009335786,0.0000478175,0.9873562,0.001614557,0.00972693,0.0007693882,0.00001350639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03613551,0.0002144007,0.9610934,0.00005036621,0.00002611642,0.00004539874,0.00002466992,0.00007599364,0.002334198],"genre_scores_gemma":[0.9285947,0.0001839899,0.06942926,0.00006334458,0.00002657045,0.00007517385,0.00003959997,0.00001616283,0.001571244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002178713,"threshold_uncertainty_score":0.005586922,"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."}}