{"id":"W2802430384","doi":"10.1109/jsyst.2018.2817598","title":"On the Joint Impact of Hardware and Channel Imperfections on Cognitive Spatial Modulation MIMO Systems: Cramer–Rao Bound Approach","year":2018,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"United Arab Emirates University","keywords":"Pairwise error probability; MIMO; Underlay; Rayleigh fading; Upper and lower bounds; Channel (broadcasting); Channel state information; Computer science; Algorithm; Fading; Cramér–Rao bound; Transceiver; Modulation (music); Electronic engineering; Signal-to-noise ratio (imaging); Telecommunications; Mathematics; Estimation theory; Engineering; Wireless","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003515946,0.0001986153,0.0002915369,0.0002448138,0.0003548035,0.0001250655,0.0001922427,0.000128035,0.000004650469],"category_scores_gemma":[0.0001485361,0.000135301,0.00009163749,0.0001816961,0.0001856759,0.0001600035,0.00002516529,0.0004950413,0.00001193536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002242881,"about_ca_system_score_gemma":0.00002691976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001540456,"about_ca_topic_score_gemma":0.000006045743,"domain_scores_codex":[0.9988352,0.0001538445,0.0004189319,0.0001387237,0.0002372441,0.0002160717],"domain_scores_gemma":[0.9988475,0.0001963823,0.0002634842,0.0003654867,0.0002670496,0.00006009238],"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":[0.00004378272,0.000057392,0.0001284807,0.0001278951,0.0002907623,0.000001687319,0.0008337497,0.9897336,0.005637094,0.0007286833,0.0008397748,0.001577086],"study_design_scores_gemma":[0.0007121208,0.0008006002,0.003563967,0.001364596,0.00003320208,0.0004073556,0.00251545,0.9847401,0.004915052,0.0005885507,0.00004343215,0.0003155328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7308527,0.0006399782,0.266066,0.00002272925,0.0008649622,0.000475093,0.00004759095,0.0001772223,0.0008537637],"genre_scores_gemma":[0.9993312,0.0001772414,0.00004118577,0.000003793181,0.0003206558,0.00006112646,0.000003669132,0.00003727163,0.00002388564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2684785,"threshold_uncertainty_score":0.5517413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03474652910916996,"score_gpt":0.2671373567881147,"score_spread":0.2323908276789448,"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."}}