{"id":"W1541949464","doi":"10.1002/ett.2905","title":"Quadrature spatial modulation–performance analysis and impact of imperfect channel knowledge","year":2014,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"University of Tabuk","keywords":"Pairwise error probability; Computer science; Algorithm; Rayleigh fading; Quadrature (astronomy); Spatial correlation; Spectral efficiency; Channel (broadcasting); Transmitter; Imperfect; Electronic engineering; Telecommunications; Mathematics; Fading; 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":[0.002090164,0.0006501987,0.000671322,0.0005017139,0.0003507314,0.0008359911,0.0005846488,0.0007463209,0.000756035],"category_scores_gemma":[0.007466097,0.0002314599,0.0003230772,0.0006570002,0.0009134432,0.001051089,0.0008581051,0.0005119384,0.0001645726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008236337,"about_ca_system_score_gemma":0.0005996956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546835,"about_ca_topic_score_gemma":0.00100364,"domain_scores_codex":[0.9981562,0.0006431619,0.00005210983,0.0001407916,0.0007772368,0.000230388],"domain_scores_gemma":[0.9938823,0.004046877,0.0007347444,0.0005209042,0.0007605681,0.00005467293],"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":[0.0002170466,0.00003723335,0.003497421,0.0001383466,0.00008137756,0.0003068496,0.00009696616,0.9343716,0.019556,0.02033189,0.0002895176,0.02107577],"study_design_scores_gemma":[0.000004339131,0.00007462909,0.0008258952,0.00001026286,0.00002093022,0.000158763,0.00001475931,0.992063,0.005051447,0.001585331,0.0001803775,0.00001014946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4152681,0.00223039,0.568248,0.0004608353,0.00007402647,0.00004386785,0.00009337372,0.0003249848,0.01325644],"genre_scores_gemma":[0.9921352,0.0002880527,0.007175969,0.00002311909,0.00002005796,0.000007566629,0.00002759124,0.00001032394,0.0003121777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002090164,"threshold_uncertainty_score":0.01105404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009755639369358013,"score_gpt":0.2606646810065272,"score_spread":0.2509090416371692,"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."}}