{"id":"W2104678442","doi":"10.1049/iet-com.2011.0207","title":"Performance analysis of decode-and-forward relaying schemes with adaptive quadrature amplitude modulation (QAM)","year":2012,"lang":"en","type":"article","venue":"IET Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"King Saud University","keywords":"Spectral efficiency; Quadrature amplitude modulation; Rayleigh fading; QAM; Computer science; Transmission (telecommunications); Fading; Link adaptation; Channel state information; Bit error rate; Independent and identically distributed random variables; Channel (broadcasting); Wireless; Algorithm; Telecommunications; Electronic engineering; Mathematics; Statistics; Random variable","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":[0.003254073,0.001257664,0.00103113,0.001354205,0.0006685548,0.001155817,0.0007668154,0.00112148,0.001408683],"category_scores_gemma":[0.01280222,0.000393891,0.0005406358,0.001041457,0.0009177856,0.001411094,0.000969873,0.0006720002,0.0004228895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531351,"about_ca_system_score_gemma":0.0009125059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002601435,"about_ca_topic_score_gemma":0.001820208,"domain_scores_codex":[0.9980585,0.0008317783,0.00007787576,0.0001697538,0.0005703387,0.0002916327],"domain_scores_gemma":[0.9888325,0.008184591,0.0007563813,0.0006365908,0.001475594,0.0001142857],"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":[0.0004947741,0.0001284774,0.003133755,0.0002384374,0.0001552895,0.0002410196,0.0005353499,0.8564008,0.02309019,0.06782827,0.00114701,0.04660655],"study_design_scores_gemma":[0.00001835174,0.0002290654,0.0006758552,0.00001768126,0.00004613055,0.0001893733,0.00006597122,0.9861553,0.005458468,0.006615588,0.000500439,0.00002779515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3847099,0.005201488,0.5898363,0.0008508473,0.00007706454,0.0001217398,0.0002085938,0.0004639047,0.01853025],"genre_scores_gemma":[0.9865194,0.0009074527,0.01125247,0.00004969157,0.00002723117,0.00003315891,0.00005154418,0.00002401667,0.00113496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003254073,"threshold_uncertainty_score":0.01720935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05531626951570032,"score_gpt":0.2988642018955612,"score_spread":0.2435479323798609,"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."}}