{"id":"W4220906126","doi":"10.3389/frcmn.2022.821037","title":"Non-Orthogonal Multiple Access: The Case of Improper Gaussian Signaling and Imperfect Successive Interference Cancellation","year":2022,"lang":"en","type":"article","venue":"Frontiers in Communications and Networks","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Lakehead University","funders":"","keywords":"Single antenna interference cancellation; Telecommunications link; Computer science; Interference (communication); Imperfect; Noma; Gaussian; Throughput; Spectral efficiency; Mathematical optimization; Transformation (genetics); Power (physics); Communications system; Algorithm; Telecommunications; Mathematics; Decoding methods; Wireless; Physics","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":[0.001906471,0.001309464,0.001480283,0.0005561639,0.0008364537,0.001765562,0.001196587,0.00176981,0.0005627161],"category_scores_gemma":[0.005324308,0.0005665349,0.0007556108,0.001305122,0.002511047,0.001851116,0.001356888,0.001176891,0.0001755714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101537,"about_ca_system_score_gemma":0.00110173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005515592,"about_ca_topic_score_gemma":0.004651097,"domain_scores_codex":[0.9973271,0.001050053,0.00007019199,0.0003112777,0.0006247785,0.0006165981],"domain_scores_gemma":[0.9967718,0.001566382,0.0006850845,0.000333987,0.0004905739,0.00015208],"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":[0.0003128472,0.00009107508,0.003657488,0.0001698216,0.0001534684,0.003358983,0.0002882136,0.9025352,0.009642771,0.06672426,0.0007403582,0.01232553],"study_design_scores_gemma":[0.00002461116,0.00007021901,0.0005388103,0.00000755377,0.00003687072,0.000336476,0.00007076468,0.9912088,0.00106717,0.006376084,0.0002440212,0.0000185229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.319111,0.001442987,0.6636723,0.0008083308,0.0001776897,0.00008570588,0.0001201566,0.0001594367,0.01442239],"genre_scores_gemma":[0.988631,0.0003512191,0.009828545,0.00006001286,0.00005424016,0.00001829749,0.00001622562,0.000007544262,0.001032856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005515592,"threshold_uncertainty_score":0.01096702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458617557075783,"score_gpt":0.2500454409811725,"score_spread":0.2354592654104147,"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."}}