{"id":"W2136335103","doi":"10.1109/tcomm.2010.04.090075","title":"An analytical approach for performance evaluation of BICM transmission over Nakagami-m fading channels","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fading; Nakagami distribution; Algorithm; Phase-shift keying; Additive white Gaussian noise; Multipath propagation; Computer science; Bit error rate; Electronic engineering; Mathematics; Telecommunications; Decoding methods; White noise; Channel (broadcasting); Engineering","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":[0.001411462,0.001244392,0.0008151159,0.001328162,0.0006076469,0.0008225557,0.0009630192,0.001215742,0.001284396],"category_scores_gemma":[0.01123685,0.0003025352,0.0004280215,0.001205213,0.001058796,0.001191118,0.000815589,0.001075856,0.000586783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120148,"about_ca_system_score_gemma":0.0006766784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498955,"about_ca_topic_score_gemma":0.0009725022,"domain_scores_codex":[0.9986576,0.0005483988,0.00004759698,0.0000699206,0.0005666884,0.000109745],"domain_scores_gemma":[0.9968472,0.002029891,0.0003007959,0.0002707102,0.0005214532,0.00002990858],"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":[0.00006236614,0.0000477507,0.0006371461,0.0002035387,0.00002867974,0.0001572725,0.0001910152,0.9166392,0.01398441,0.05102588,0.0005869805,0.01643576],"study_design_scores_gemma":[0.00000290164,0.00007207417,0.00018958,0.00003747462,0.000009624682,0.0001643478,0.00003240799,0.9895723,0.004203813,0.005004151,0.0006958457,0.00001566905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04599931,0.001819721,0.9394995,0.0002332112,0.00005546673,0.00007078308,0.0001280733,0.0005301223,0.01166374],"genre_scores_gemma":[0.8744198,0.002777121,0.1201406,0.0001900893,0.00007645889,0.0001968533,0.0001424617,0.0001248777,0.001931782],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001498955,"threshold_uncertainty_score":0.008127272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06212505295809991,"score_gpt":0.3440763893141714,"score_spread":0.2819513363560716,"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."}}