{"id":"W2155837219","doi":"10.1109/vetecs.2008.521","title":"Multiple-Antenna Multiple-Relay Cooperative Communication System with Beamforming","year":2008,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Medical Research Council","keywords":"Relay; Beamforming; Rayleigh fading; Maximal-ratio combining; Computer science; Constraint (computer-aided design); Antenna (radio); Electronic engineering; Power (physics); Topology (electrical circuits); Fading; Computer network; Telecommunications; Mathematics; Electrical engineering; Engineering; Physics; Channel (broadcasting)","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":[0.0005192903,0.0008821163,0.0009059531,0.0002529293,0.0003778851,0.0005802471,0.0005846655,0.0008031685,0.0007672693],"category_scores_gemma":[0.0009422411,0.0002180802,0.000395454,0.0009400438,0.0004451671,0.0009915304,0.000480032,0.000338108,0.0003318109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000457295,"about_ca_system_score_gemma":0.0004717357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001912861,"about_ca_topic_score_gemma":0.001861063,"domain_scores_codex":[0.9995019,0.0002110711,0.00001879449,0.00008254801,0.0001096717,0.00007593728],"domain_scores_gemma":[0.9995115,0.0002596179,0.00007485779,0.00003398105,0.00009939713,0.00002069465],"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":[0.0002418268,0.00008446683,0.002286394,0.0002887985,0.0001514876,0.001100947,0.0002267488,0.8493714,0.02673848,0.06040717,0.001842057,0.05726018],"study_design_scores_gemma":[0.00002366592,0.0001647956,0.0002875781,0.000008575913,0.00002993908,0.0002427343,0.00003654713,0.9888961,0.001745162,0.007454711,0.001093445,0.00001668234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07856089,0.001543822,0.9126039,0.0003142852,0.00007443043,0.00005620453,0.00009365183,0.0001945097,0.006558404],"genre_scores_gemma":[0.9346094,0.001095477,0.06014851,0.00009795049,0.00006551884,0.00009313713,0.00006235459,0.000008331313,0.003819433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001912861,"threshold_uncertainty_score":0.003803372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03876015219576799,"score_gpt":0.2452276557866305,"score_spread":0.2064675035908625,"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."}}