{"id":"W3009628117","doi":"10.1109/globecom38437.2019.9013439","title":"Joint Resource Allocation in NOMA Systems with Imperfect SIC","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Precoding; Computer science; Resource allocation; Base station; Beamforming; Single antenna interference cancellation; Cluster analysis; Mathematical optimization; Interference (communication); Joint (building); Optimization problem; Imperfect; Transmitter power output; Noma; Channel (broadcasting); Telecommunications link; Algorithm; Computer network; Telecommunications; Mathematics; MIMO; Engineering","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":[0.002198386,0.001035967,0.001218874,0.000417499,0.0006200041,0.001627908,0.0008012685,0.0007590906,0.0008630254],"category_scores_gemma":[0.005907769,0.0004709321,0.0004036654,0.0007954414,0.001617162,0.001211009,0.001168516,0.0007304759,0.0001989753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008662253,"about_ca_system_score_gemma":0.001144549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002372714,"about_ca_topic_score_gemma":0.002186556,"domain_scores_codex":[0.998041,0.0009783491,0.00006581339,0.0001911421,0.0004048423,0.0003189357],"domain_scores_gemma":[0.9963642,0.002415935,0.0004423407,0.0002344124,0.0004235393,0.000119618],"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":[0.0001080811,0.00004267322,0.0004735554,0.00005536837,0.0000502951,0.0001075066,0.00005403524,0.9740195,0.00174973,0.01477818,0.0003221228,0.008239002],"study_design_scores_gemma":[0.00001101504,0.00004452416,0.0001796701,0.000004628621,0.000009825621,0.00002980958,0.00002053448,0.9950383,0.0006405606,0.003878544,0.0001353308,0.000007276061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.116403,0.0008433327,0.8744441,0.0003108,0.00007082138,0.00006124592,0.00007840843,0.0001493234,0.007638952],"genre_scores_gemma":[0.9775136,0.000191451,0.02123513,0.00006217923,0.00003737396,0.00004605356,0.00002259486,0.00001454552,0.0008769784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002372714,"threshold_uncertainty_score":0.0116263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008652655372022531,"score_gpt":0.1928284925256819,"score_spread":0.1841758371536594,"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."}}