{"id":"W2171110476","doi":"10.1109/t-wc.2008.060868","title":"Limited-Feedback Precoding for Closed-Loop Multiuser MIMO OFDM Systems with Frequency Offsets","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Nortel (Canada)","funders":"","keywords":"Precoding; Orthogonal frequency-division multiplexing; MIMO-OFDM; MIMO; Zero-forcing precoding; Control theory (sociology); Computer science; Transmitter; Bit error rate; Fading; Mathematics; Electronic engineering; Algorithm; Telecommunications; Channel (broadcasting); Decoding methods; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001681083,0.0004398873,0.0004681053,0.0003959796,0.001146453,0.00006129478,0.001642441,0.0002483078,0.00001781371],"category_scores_gemma":[0.000009500197,0.0004592722,0.0001761375,0.0006833044,0.0003705666,0.0005782545,0.00001132667,0.0007946929,0.00004663229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003094066,"about_ca_system_score_gemma":0.00007887092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219634,"about_ca_topic_score_gemma":0.0003167289,"domain_scores_codex":[0.9980375,0.0001549343,0.0007050877,0.0003592161,0.0002777721,0.0004654984],"domain_scores_gemma":[0.9947993,0.0008036451,0.0001681072,0.003698096,0.0003601013,0.000170731],"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":[0.0003171797,0.003352374,0.0007253836,0.001009242,0.001550472,0.00001217046,0.005631523,0.7885988,0.06656761,0.01199962,0.003610824,0.1166248],"study_design_scores_gemma":[0.003883422,0.0005638695,0.0007501958,0.00137175,0.0002903954,0.0002190338,0.0009909958,0.8479982,0.1258958,0.0003540308,0.01508013,0.002602157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04154302,0.0008956237,0.9503562,0.0003328018,0.0002714337,0.001713256,0.0002654169,0.002532514,0.002089709],"genre_scores_gemma":[0.9241247,0.006002476,0.06640179,0.00005192062,0.00002710703,0.002709034,0.000084097,0.0001800507,0.0004188642],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8839544,"threshold_uncertainty_score":0.9997859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04097402711162754,"score_gpt":0.2644335914134973,"score_spread":0.2234595643018698,"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."}}