{"id":"W1987614763","doi":"10.1109/glocom.2013.6831738","title":"Cooperative vehicular ad-hoc transmission for LTE-A MIMO-downlink using Amplify-and-Forward relaying","year":2013,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cooperative diversity; Computer science; MIMO; Fading; Pairwise error probability; Antenna diversity; Precoding; Telecommunications link; Diversity gain; Multipath propagation; Computer network; Spatial multiplexing; Transmission (telecommunications); Space–time block code; Cooperative MIMO; 3G MIMO; Wireless; Channel (broadcasting); 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":[0.0004743689,0.0004417993,0.0002810484,0.0002023877,0.0003521667,0.000414425,0.0002900737,0.0002931262,0.0003057276],"category_scores_gemma":[0.0008908169,0.00009492195,0.0002660131,0.0003020375,0.0002876993,0.0002992957,0.0003162973,0.0001600463,0.00007132455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100381,"about_ca_system_score_gemma":0.0004009232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00302812,"about_ca_topic_score_gemma":0.005711247,"domain_scores_codex":[0.9997573,0.00009123726,0.000009629119,0.00001740118,0.00008003802,0.0000442768],"domain_scores_gemma":[0.9995883,0.0002302874,0.00005246012,0.00002827834,0.00008735741,0.00001332987],"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":[0.0001332491,0.00008780273,0.003989399,0.0001220204,0.00005919945,0.0007116258,0.0002128815,0.9035091,0.0457835,0.02074128,0.0004189815,0.02423094],"study_design_scores_gemma":[0.000006747888,0.0001607198,0.0004972531,0.000004347932,0.00002252097,0.0001490983,0.00006420096,0.9895622,0.007116762,0.002001339,0.0004042036,0.00001045885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.624402,0.0008045309,0.364698,0.0002343711,0.00003747757,0.00007805246,0.00007309695,0.0001305086,0.009541989],"genre_scores_gemma":[0.9925159,0.0001158858,0.007005439,0.00000936106,0.000003551364,0.000008804608,0.00001117757,0.000001480866,0.0003284277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00302812,"threshold_uncertainty_score":0.006021023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04839379536209901,"score_gpt":0.2939843354739733,"score_spread":0.2455905401118743,"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."}}