{"id":"W1976517744","doi":"10.1109/bsc.2008.4563223","title":"Efficient design of optimal transmitter for MIMO systems using decision feedback receivers","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Transmitter; MIMO; Channel state information; Fading; Precoding; Computer science; Transmission (telecommunications); Channel (broadcasting); Convex optimization; Multi-user MIMO; Transmitter power output; Wireless; Communications system; Control theory (sociology); Minimum mean square error; Electronic engineering; Mathematical optimization; Mathematics; Telecommunications; Regular polygon; 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":[0.00135008,0.001462569,0.001311479,0.0003725533,0.0004144862,0.001244128,0.0005975315,0.001205223,0.001306784],"category_scores_gemma":[0.002669739,0.000871977,0.0005407363,0.0005703241,0.0007925979,0.001069092,0.0006697346,0.0009446277,0.0006001024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006582892,"about_ca_system_score_gemma":0.001510864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009149435,"about_ca_topic_score_gemma":0.001451861,"domain_scores_codex":[0.9987918,0.0004548978,0.00006060999,0.0002328358,0.0003418091,0.0001181527],"domain_scores_gemma":[0.9992378,0.0004060284,0.000134373,0.00004479636,0.0001525924,0.00002450597],"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":[0.0002922189,0.0001123074,0.0006230214,0.0004598845,0.000116574,0.0001862762,0.0002908308,0.7897429,0.04288959,0.06538393,0.001693296,0.09820921],"study_design_scores_gemma":[0.00009237685,0.0001997634,0.0002029249,0.00003827047,0.00003542905,0.00006707113,0.0000330161,0.9790376,0.007907948,0.01072244,0.001639362,0.00002386569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006364597,0.0002557653,0.9920568,0.00009487509,0.00002160991,0.0000345008,0.00003442249,0.00007826333,0.001059182],"genre_scores_gemma":[0.5032033,0.001277273,0.4916723,0.0001789934,0.0001144586,0.0003826602,0.0001968616,0.00006011243,0.002914024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001462569,"threshold_uncertainty_score":0.007139981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158580385897581,"score_gpt":0.2365266799520385,"score_spread":0.2049408760930627,"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."}}