{"id":"W2792981848","doi":"10.1109/lwc.2018.2815683","title":"Optimal User Grouping for Downlink NOMA","year":2018,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Telecommunications link; Noma; Computer science; Computational complexity theory; Mathematical optimization; Algorithm; Mathematics; Computer network","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":[0.001165575,0.0006455739,0.0009809256,0.0004849903,0.0009612422,0.0008618601,0.0004928175,0.0006925269,0.001288058],"category_scores_gemma":[0.003436978,0.0003872518,0.0003760681,0.0008158751,0.0008863964,0.00121714,0.001194915,0.0007155276,0.0005404544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006361321,"about_ca_system_score_gemma":0.0007750102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001375,"about_ca_topic_score_gemma":0.001120991,"domain_scores_codex":[0.9988249,0.0006677626,0.00003380448,0.0001175198,0.0001991259,0.0001569682],"domain_scores_gemma":[0.9990786,0.0004701319,0.00012547,0.000160061,0.0001161437,0.00004957366],"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":[0.0002799522,0.00008226161,0.0007896975,0.0001129328,0.00004464892,0.0001841377,0.0001927225,0.8617714,0.008907228,0.06458126,0.002739835,0.06031388],"study_design_scores_gemma":[0.00001178838,0.00006231174,0.0001190636,0.000006211603,0.000006715102,0.00005723972,0.00003852393,0.9801201,0.001034436,0.01751372,0.001020795,0.000009118187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03644108,0.0007294815,0.9586958,0.0001981255,0.00007374187,0.00003402067,0.00003072187,0.0001547754,0.003642237],"genre_scores_gemma":[0.8450425,0.000557419,0.1514955,0.0001657945,0.0001326466,0.00009915886,0.00007024626,0.0000518841,0.002384764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001288058,"threshold_uncertainty_score":0.006164193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612675654783626,"score_gpt":0.2712134743253921,"score_spread":0.2450867177775559,"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."}}