{"id":"W3181103018","doi":"10.1109/iccworkshops50388.2021.9473715","title":"Low Complexity Rate Splitting Using Hierarchical User Grouping","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Beamforming; Single antenna interference cancellation; Space-division multiple access; Throughput; Interference (communication); Precoding; Transmitter; Decoding methods; Computational complexity theory; Distributed computing; Computer network; Telecommunications link; Computer engineering; Algorithm; MIMO; Channel (broadcasting); Wireless; 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":[0.0005664528,0.0007734287,0.0006687625,0.0005388139,0.0004377373,0.0005610954,0.001141131,0.0004302713,0.001480216],"category_scores_gemma":[0.001203285,0.0002900029,0.000611906,0.0007101857,0.0004345939,0.0008688358,0.000912679,0.0004929996,0.0008027718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466417,"about_ca_system_score_gemma":0.0005331925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050313,"about_ca_topic_score_gemma":0.001272176,"domain_scores_codex":[0.9991326,0.0002464404,0.00004583357,0.0001325748,0.0003384576,0.00010402],"domain_scores_gemma":[0.9991215,0.0002834676,0.0001376847,0.0002354987,0.0001767458,0.0000451242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005832014,0.0002249806,0.001715678,0.0001911874,0.0001148348,0.0003865224,0.000369202,0.2181197,0.2105784,0.02586726,0.002554271,0.5392948],"study_design_scores_gemma":[0.00006655038,0.0004178654,0.0005376244,0.00001543481,0.00004391339,0.0004947065,0.00004237872,0.9465324,0.04122416,0.00669485,0.003884264,0.00004591435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02433888,0.0001986341,0.9725628,0.00004690857,0.00001925605,0.00005384438,0.00001974419,0.0006364708,0.002123495],"genre_scores_gemma":[0.5408551,0.0002064816,0.4555959,0.0001058117,0.00005233704,0.0001140797,0.0001282964,0.00004898418,0.00289307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001480216,"threshold_uncertainty_score":0.004951835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04900401154296942,"score_gpt":0.2763146959091786,"score_spread":0.2273106843662092,"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."}}