{"id":"W1964222389","doi":"10.1109/globalsip.2014.7032332","title":"Cooperative capacity-achieving precoding design for multi-user VFDM transmission","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Precoding; Computer science; Telecommunications link; Robustness (evolution); Throughput; Transmission (telecommunications); Computer network; Interference (communication); MIMO; Electronic engineering; Channel (broadcasting); Wireless; Telecommunications; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002189223,0.0001483971,0.0001680456,0.00005298168,0.0001028042,0.00002962178,0.0000729238,0.00007683089,0.00003081253],"category_scores_gemma":[0.00006820371,0.0001340912,0.00003750508,0.00008384576,0.00001067319,0.0002733247,0.000005115667,0.00007481856,0.00001170759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005644336,"about_ca_system_score_gemma":0.000005203844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003131112,"about_ca_topic_score_gemma":0.000005193995,"domain_scores_codex":[0.9993297,0.00004637999,0.0002062885,0.0001651276,0.00004975375,0.0002027696],"domain_scores_gemma":[0.9995925,0.0001399348,0.00002284631,0.0001194362,0.00006165376,0.00006364137],"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":[0.000006488502,0.000008366115,0.00001637468,0.0000830541,0.00001266755,6.18702e-8,0.0004538774,0.9450976,0.0458963,0.0009016113,0.0002234592,0.007300118],"study_design_scores_gemma":[0.0005297299,0.00003768757,0.00001247762,0.00006469839,0.000008238974,0.000001385693,0.0000356753,0.929247,0.06421146,0.00001578114,0.005653084,0.0001827895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008623048,0.00004850723,0.9966272,0.00001412381,0.0001802321,0.0006689667,0.000002459738,0.0004743507,0.001121883],"genre_scores_gemma":[0.2840833,0.00001398551,0.7146161,0.00001937599,0.00006047877,0.00009806431,0.00000613953,0.00005181591,0.001050649],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.283221,"threshold_uncertainty_score":0.5468081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04514178059800224,"score_gpt":0.2560032140546635,"score_spread":0.2108614334566613,"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."}}