{"id":"W3134089615","doi":"10.1109/tvt.2021.3063946","title":"Transmission and Clustering Designs for Multi-Antenna NOMA Based on Average Transmit Power","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transmitter power output; Beamforming; Cluster analysis; Computer science; Transmission (telecommunications); Base station; Noma; Antenna (radio); Electronic engineering; Interference (communication); Signal-to-noise ratio (imaging); Channel (broadcasting); Real-time computing; Computer network; Telecommunications; Engineering; Telecommunications link; 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":[0.001629046,0.001401186,0.0009532056,0.0008790948,0.000915537,0.001203878,0.001592231,0.0007392277,0.002799406],"category_scores_gemma":[0.005058129,0.0005880682,0.0008914367,0.001516038,0.0007911657,0.001943298,0.0009275824,0.001036742,0.001014548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331932,"about_ca_system_score_gemma":0.0009601297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099159,"about_ca_topic_score_gemma":0.001725614,"domain_scores_codex":[0.9985683,0.0005647533,0.00007364861,0.0002071753,0.0004494995,0.0001366295],"domain_scores_gemma":[0.9973481,0.001311921,0.0002990003,0.0003171385,0.0006596862,0.00006412434],"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":[0.0001083415,0.00006573187,0.0005534754,0.0002302033,0.00009472433,0.00008853933,0.0002315466,0.8445745,0.0116945,0.0626395,0.00175278,0.07796613],"study_design_scores_gemma":[0.000006784626,0.00008849863,0.0002087829,0.00001487396,0.00002705413,0.0001276626,0.00004214742,0.984795,0.00299682,0.01013409,0.001538264,0.00002003948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004328751,0.0002642154,0.9932982,0.0000554901,0.00003094663,0.00002577457,0.00002101283,0.00009969965,0.001875857],"genre_scores_gemma":[0.5023346,0.001496421,0.4916231,0.0002267874,0.0002108972,0.0003218906,0.0001434084,0.0001847639,0.003458156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002799406,"threshold_uncertainty_score":0.00966382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649868659859198,"score_gpt":0.2560397893746801,"score_spread":0.2295411027760882,"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."}}