{"id":"W4323520982","doi":"10.1109/ieeeconf56349.2022.10052013","title":"Joint Design of User Clustering, Beamforming, and Power Allocation for NOMA","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Telecommunications link; Computer science; Noma; MIMO; Cluster analysis; Transmitter power output; Mathematical optimization; Quality of service; WSDMA; Resource allocation; Power (physics); Joint (building); Transmission (telecommunications); Computer network; Precoding; Engineering; Mathematics; Telecommunications; Transmitter; Artificial intelligence","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":[0.001101245,0.001014877,0.0008221051,0.0003354421,0.0005657444,0.000930149,0.0007523599,0.0007491026,0.0009647048],"category_scores_gemma":[0.002505805,0.0004512958,0.0004490422,0.0006509465,0.0006345154,0.000826939,0.00112591,0.0008721823,0.0005559164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005452104,"about_ca_system_score_gemma":0.001279777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008084475,"about_ca_topic_score_gemma":0.001754539,"domain_scores_codex":[0.9987167,0.0007257559,0.00003931336,0.0001770165,0.0002229115,0.0001183308],"domain_scores_gemma":[0.9992089,0.0003594848,0.0001310295,0.00008653526,0.0001453405,0.00006876596],"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":[0.0001551372,0.0001578981,0.0008256064,0.0001653584,0.00007169193,0.0001431519,0.0001678907,0.8377019,0.02438466,0.03993793,0.001686678,0.09460219],"study_design_scores_gemma":[0.000009071843,0.00008445198,0.0001283008,0.000006992123,0.0000086042,0.00007124787,0.00003578614,0.9905043,0.002892966,0.005217241,0.001029525,0.00001140933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007127381,0.00009002166,0.9913526,0.00007902626,0.00001865345,0.00002601801,0.0000181905,0.00005378521,0.0012343],"genre_scores_gemma":[0.6172875,0.0003658821,0.3794255,0.0001545285,0.00007020391,0.0002458461,0.00008090561,0.00005834291,0.002311325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001101245,"threshold_uncertainty_score":0.00582397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269917200701233,"score_gpt":0.2331248108767826,"score_spread":0.2061330908066593,"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."}}