{"id":"W2147374031","doi":"10.1109/izs.2006.1649092","title":"On Optimization of the V-BLAST Algorithm","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Block Error Rate; Algorithm; Optimization problem; Computer science; Rayleigh fading; Power (physics); Fading; Block (permutation group theory); Optimization algorithm; Convex optimization; Mathematical optimization; Mathematics; Control theory (sociology); Regular polygon; Decoding methods; Telecommunications","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":[0.0005381902,0.0005160654,0.0006610668,0.0002807833,0.0002220077,0.0008402743,0.0003567828,0.0006423958,0.002961936],"category_scores_gemma":[0.001920782,0.0002492263,0.0002408906,0.0005789238,0.0005377101,0.0005988654,0.0005686051,0.0004131487,0.0006538128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005596546,"about_ca_system_score_gemma":0.001049601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360281,"about_ca_topic_score_gemma":0.001297212,"domain_scores_codex":[0.9995424,0.000187739,0.00001678135,0.00005829944,0.0001397634,0.00005507256],"domain_scores_gemma":[0.9996196,0.000228201,0.00004379451,0.0000252456,0.00007039153,0.00001270345],"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":[0.0001353019,0.00002012054,0.0002424603,0.00007431098,0.00001728947,0.0000381816,0.00003754626,0.8937387,0.006365892,0.04219894,0.001377312,0.055754],"study_design_scores_gemma":[0.000012585,0.0000549604,0.0001025985,0.00001120056,0.000003979913,0.00002366472,0.000009841779,0.9877291,0.00149504,0.009402866,0.001148102,0.00000609028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01885008,0.0005958667,0.9658669,0.0001981749,0.00003976892,0.00003051921,0.00005578962,0.0001356657,0.01422709],"genre_scores_gemma":[0.6080349,0.001380372,0.3774649,0.0002004267,0.0001070121,0.0001728058,0.0001677905,0.0001402586,0.01233152],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002961936,"threshold_uncertainty_score":0.009908676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003557755964445096,"score_gpt":0.1932821274286772,"score_spread":0.1897243714642321,"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."}}