{"id":"W2283892817","doi":"10.1109/wcnc.2015.7127526","title":"On the impact of imperfect channel knowledge on the performance of quadrature spatial modulation","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"University of Tabuk","keywords":"Quadrature (astronomy); Spatial modulation; Spectral efficiency; Rayleigh fading; Imperfect; Quadrature amplitude modulation; MIMO; Monte Carlo method; Mathematics; Algorithm; Upper and lower bounds; Computer science; Channel (broadcasting); Telecommunications; Statistics; Fading; Electronic engineering; Bit error rate; Mathematical analysis; Engineering; Decoding methods","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":[0.002204833,0.001122246,0.001171664,0.0007503976,0.0007495304,0.001277875,0.0007581287,0.001042256,0.00135597],"category_scores_gemma":[0.02008035,0.0004178241,0.0003978397,0.0008956493,0.001531293,0.002432015,0.001356479,0.000852775,0.0002886224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111071,"about_ca_system_score_gemma":0.001097103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003554025,"about_ca_topic_score_gemma":0.002883244,"domain_scores_codex":[0.9974434,0.0008056481,0.00008859252,0.0002641114,0.0009044542,0.0004937629],"domain_scores_gemma":[0.9829926,0.01330977,0.001094364,0.0009402111,0.001532286,0.0001308594],"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":[0.000188467,0.00003664005,0.003070033,0.000158204,0.00006371948,0.0004127668,0.0001020311,0.9591537,0.007314513,0.01457227,0.0004667878,0.01446101],"study_design_scores_gemma":[0.000006634553,0.0001370856,0.002126018,0.00004674462,0.00006094334,0.0003575952,0.00006415885,0.9847797,0.007572691,0.00442696,0.0003828209,0.00003875405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4301341,0.005907369,0.5369483,0.001013279,0.0002257239,0.00007329608,0.0003899828,0.0005736609,0.02473431],"genre_scores_gemma":[0.9928489,0.001093965,0.005342537,0.00006231864,0.00005304685,0.00001370485,0.00005531983,0.00003023873,0.0004999186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003554025,"threshold_uncertainty_score":0.0116604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719529036185958,"score_gpt":0.2672110932107555,"score_spread":0.2400158028488959,"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."}}