{"id":"W1976643347","doi":"10.1007/s11277-014-1625-2","title":"Performance Analysis of Adaptive Modulation for Precoded MIMO Systems with a GMD Zero-Forcing Transceiver","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Rayleigh fading; MIMO; Computer science; Wishart distribution; Cumulative distribution function; Spectral efficiency; Bit error rate; Link adaptation; Fading; Transmitter; Algorithm; Channel (broadcasting); Control theory (sociology); Telecommunications; Mathematics; Statistics; Probability density function","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":[0.00116192,0.0008603467,0.00050363,0.000480218,0.0004083897,0.00097916,0.0005856284,0.0009776033,0.003109882],"category_scores_gemma":[0.004663314,0.0002787428,0.0003733861,0.0006016782,0.000736411,0.0006274353,0.0009051381,0.0005689348,0.0004186255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008842996,"about_ca_system_score_gemma":0.0008923988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002547264,"about_ca_topic_score_gemma":0.002925449,"domain_scores_codex":[0.9990299,0.0003232889,0.00003120384,0.00009128562,0.0003667345,0.0001576277],"domain_scores_gemma":[0.9971579,0.001921543,0.0002071298,0.0001782192,0.0004874842,0.00004772143],"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":[0.0008341397,0.00007478466,0.003455797,0.0003074715,0.0001531327,0.000347279,0.0002626247,0.8466363,0.05875445,0.0412568,0.001068161,0.04684905],"study_design_scores_gemma":[0.00001792037,0.0001218977,0.001083,0.00002363973,0.00003105702,0.0001305756,0.00002944246,0.9904922,0.004614066,0.003058344,0.0003795852,0.0000183232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2973945,0.001909219,0.6693959,0.0008846968,0.0001053202,0.00009666012,0.0003087808,0.0004099248,0.02949493],"genre_scores_gemma":[0.9796733,0.0004300194,0.01750405,0.00008932138,0.00005689526,0.00003625402,0.00008484398,0.00002926821,0.002096081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003109882,"threshold_uncertainty_score":0.01040357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321368003073772,"score_gpt":0.2338754047116654,"score_spread":0.2106617246809277,"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."}}