{"id":"W2980109842","doi":"10.1109/usnc-ursi.2019.8861963","title":"Performance analysis of full-duplex relaying over Rayleigh-Rician fading channels","year":2019,"lang":"en","type":"article","venue":"","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Rician fading; Rayleigh fading; Relay; Computer science; Outage probability; Fading; Bit error rate; Electronic engineering; Fading distribution; Computer network; Telecommunications; Engineering; Decoding methods; 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":[0.0006485049,0.0005116569,0.0004626754,0.0003692644,0.000240061,0.0006181853,0.000420648,0.0004205776,0.001094064],"category_scores_gemma":[0.002503156,0.0001688019,0.000207608,0.0003999484,0.0004754048,0.0006629934,0.0004212493,0.0002396592,0.0002225718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006368992,"about_ca_system_score_gemma":0.0005153848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034417,"about_ca_topic_score_gemma":0.001582529,"domain_scores_codex":[0.9995394,0.0001566131,0.00001499573,0.00005184739,0.0001761931,0.00006095359],"domain_scores_gemma":[0.9984424,0.0009780549,0.0001387352,0.0001173955,0.0002905351,0.00003294758],"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":[0.0001063838,0.00001937621,0.0009593011,0.000085293,0.00003679916,0.000224248,0.0000814314,0.9515268,0.01605188,0.01505352,0.0003415473,0.01551337],"study_design_scores_gemma":[0.000001991879,0.00006268855,0.0005352028,0.000003647815,0.000009151569,0.0001265879,0.00001995287,0.9953211,0.001817361,0.001888714,0.0002059122,0.000007685946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4774046,0.0022741,0.5031382,0.00026284,0.00003493928,0.00004828804,0.0001951341,0.0003489827,0.01629297],"genre_scores_gemma":[0.9949493,0.000370007,0.003769256,0.00001124978,0.000009467664,0.000008862888,0.00002765721,0.000009144609,0.0008450948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002034417,"threshold_uncertainty_score":0.004621089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011370848240944,"score_gpt":0.2176140001748411,"score_spread":0.2062431519338971,"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."}}