{"id":"W3202394763","doi":"10.18280/isi.260410","title":"Performance Analysis of NOMA Downlink for Next- Generation 5G Network with Statistical Channel State Information","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noma; Computer science; Telecommunications link; Channel state information; Transmitter; Rayleigh fading; Outage probability; Channel (broadcasting); Wireless network; Computer network; Reliability (semiconductor); Fading; Wireless; Power (physics); Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00212744,0.001671489,0.0009658415,0.001515721,0.001230744,0.001441272,0.0008886885,0.001024116,0.001972748],"category_scores_gemma":[0.006059713,0.0003689303,0.0007318119,0.001596797,0.001225308,0.0012847,0.001267898,0.0009350142,0.0003260905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471607,"about_ca_system_score_gemma":0.001361729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237164,"about_ca_topic_score_gemma":0.01066639,"domain_scores_codex":[0.9977885,0.0009754879,0.00005446342,0.0001733834,0.0005474335,0.0004606837],"domain_scores_gemma":[0.9950696,0.002850927,0.0005618954,0.0001980839,0.001194912,0.0001245949],"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":[0.0002503153,0.00005382962,0.004143716,0.0002091583,0.00008722149,0.0004732548,0.0001835091,0.9623746,0.004311167,0.01698264,0.001527405,0.009403222],"study_design_scores_gemma":[0.000005430869,0.000102621,0.00101158,0.00002196293,0.00002672214,0.0001660497,0.00008538502,0.9960024,0.0008121647,0.001481329,0.0002658043,0.00001848674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4552819,0.01409407,0.4721382,0.00255549,0.0003398185,0.0001918055,0.0009581919,0.0007528671,0.05368768],"genre_scores_gemma":[0.9896039,0.002064218,0.006510576,0.0001294315,0.0001133196,0.00005281914,0.0001519793,0.0000433725,0.00133032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01237164,"threshold_uncertainty_score":0.02459925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205585261264826,"score_gpt":0.2231577089221494,"score_spread":0.2025991827956668,"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."}}