{"id":"W2115669786","doi":"10.1109/cwit.2013.6621609","title":"On the asymptotic performance of multiuser opportunistic df cooperative systems over frequency selective fading channels using MMSE SC-FDE","year":2013,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Fading; Relay; Upper and lower bounds; Minimum mean square error; Bandwidth (computing); SC-FDE; Computer science; Equalization (audio); Diversity scheme; Algorithm; Maximal-ratio combining; Asymptotic analysis; Mathematics; Control theory (sociology); Telecommunications; Statistics; Decoding methods; Physics; Power (physics); Mathematical analysis","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":[0.002869681,0.000928771,0.0008693327,0.0008463875,0.0006522739,0.001196468,0.000598549,0.001072236,0.001064315],"category_scores_gemma":[0.01987106,0.0003855235,0.0003475484,0.0008368204,0.001794923,0.001687917,0.001476903,0.0007859171,0.0002593763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316966,"about_ca_system_score_gemma":0.001035999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004561472,"about_ca_topic_score_gemma":0.002411248,"domain_scores_codex":[0.9989012,0.0003750349,0.00003840565,0.00008748889,0.0003918408,0.0002058195],"domain_scores_gemma":[0.9880548,0.009146948,0.0007188446,0.0004712459,0.001466587,0.0001416217],"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":[0.0001630523,0.00003983548,0.001539591,0.0001378262,0.00004085439,0.0002647885,0.0002703901,0.9422565,0.006301783,0.03783331,0.0004287732,0.01072333],"study_design_scores_gemma":[0.000008574611,0.00006025435,0.0005234979,0.0000257225,0.00001115012,0.000124888,0.00005810414,0.989343,0.001451437,0.008206764,0.0001690767,0.0000175002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3310974,0.003126517,0.6354215,0.0007116966,0.00005450182,0.00005489619,0.0001488658,0.0003337146,0.02905095],"genre_scores_gemma":[0.9887282,0.0006715794,0.00935627,0.00005714678,0.0000294015,0.00003362925,0.00004295422,0.00002127609,0.0010596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004561472,"threshold_uncertainty_score":0.01517648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06262594488949658,"score_gpt":0.2734310199580774,"score_spread":0.2108050750685808,"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."}}