{"id":"W2167236692","doi":"10.1109/cwit.2007.375714","title":"On the design of Grassmannian constellations for non-coherent MIMO communication systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Grassmannian; Constellation; MIMO; Computer science; Disjoint sets; Partition (number theory); Theoretical computer science; Wireless; Algorithm; Topology (electrical circuits); Channel (broadcasting); Mathematics; Telecommunications; Discrete mathematics; Pure mathematics","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":[0.0007755336,0.0007380219,0.0005411132,0.0003174289,0.0003024629,0.0004812582,0.0003154568,0.0003131411,0.001551115],"category_scores_gemma":[0.001713977,0.0002319742,0.0003100378,0.0005553275,0.0007838121,0.0007584803,0.0006838093,0.0005262303,0.0003911093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004818748,"about_ca_system_score_gemma":0.0005563776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003808952,"about_ca_topic_score_gemma":0.000569455,"domain_scores_codex":[0.9994548,0.0002634262,0.00002395303,0.0000621468,0.0001524899,0.00004323194],"domain_scores_gemma":[0.9995878,0.0001812313,0.00008781996,0.00006069898,0.00006066611,0.00002176038],"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":[0.0001065258,0.0000304298,0.0002944743,0.0001466862,0.00002757869,0.0001228328,0.0001723096,0.7350203,0.02042491,0.1810978,0.0008827028,0.06167346],"study_design_scores_gemma":[0.00005118337,0.000342738,0.0003379488,0.00003538552,0.00001566751,0.000171347,0.00007744165,0.8751656,0.01016517,0.1048317,0.008767456,0.00003829376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01542322,0.0003186349,0.9807981,0.000135287,0.00002584998,0.00003698907,0.00002978833,0.00004702178,0.003185105],"genre_scores_gemma":[0.4944617,0.001737735,0.500127,0.0001424828,0.00009563069,0.0001865382,0.00009817685,0.00005104956,0.003099837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001551115,"threshold_uncertainty_score":0.005189002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845607044911941,"score_gpt":0.2519013316511654,"score_spread":0.223445261202046,"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."}}