{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002013411,0.0001754542,0.0003189655,0.0003624618,0.0001705723,0.0001309401,0.0001790747,0.0001041194,0.00001335241],"category_scores_gemma":[0.0001344418,0.0001729217,0.00005730101,0.001250957,0.00009865328,0.004391404,0.00003876193,0.0001236976,0.000009357635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187305,"about_ca_system_score_gemma":0.00005759258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006559794,"about_ca_topic_score_gemma":0.00003386657,"domain_scores_codex":[0.998678,0.00002170033,0.0007568623,0.00007818559,0.0002024355,0.0002627933],"domain_scores_gemma":[0.9985709,0.000102218,0.0002869464,0.0004043869,0.0005950441,0.00004045814],"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":[0.0000242118,0.000006300813,0.0003916058,0.0003140065,0.0002434037,1.518082e-7,0.001337358,0.8851498,0.0002148776,0.00168467,0.0001384032,0.1104952],"study_design_scores_gemma":[0.0003375677,0.00007697535,0.005320391,0.00006304648,0.000107705,0.000004299352,0.0007489359,0.9836426,0.008044292,0.0004432533,0.000992973,0.0002179371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2558386,0.0000963319,0.7425196,0.00001539735,0.0000885862,0.0002665825,0.0001505676,0.0003032451,0.0007211415],"genre_scores_gemma":[0.9578564,0.0004063218,0.03884178,0.00003525048,0.00002127286,0.000177695,0.002642963,0.00001233219,0.00000605798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7036778,"threshold_uncertainty_score":0.7051542,"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."}}