{"id":"W2593255571","doi":"10.1109/acssc.2016.7869588","title":"Joint relay beamforming and receiver processing for multi-way multi-antenna relaying","year":2016,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Beamforming; Relay; Computer science; Maximization; Joint (building); Optimization problem; Signal-to-noise ratio (imaging); Antenna (radio); Power (physics); Electronic engineering; Algorithm; Mathematical optimization; Telecommunications; Mathematics; 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":[0.0006531793,0.0007960966,0.0005941913,0.0002080824,0.0002217365,0.0005162302,0.0005489076,0.0007419491,0.001284942],"category_scores_gemma":[0.001195041,0.0002854183,0.000561334,0.00039473,0.0004359744,0.0008285511,0.0004955546,0.0004688241,0.0006405117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003218824,"about_ca_system_score_gemma":0.0004784006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005667401,"about_ca_topic_score_gemma":0.0009564342,"domain_scores_codex":[0.9994809,0.0002255386,0.00002398378,0.0000745309,0.0001520214,0.00004308522],"domain_scores_gemma":[0.9996439,0.0001790398,0.00004928034,0.00004810856,0.00006678893,0.00001290913],"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":[0.0001226651,0.00004096521,0.0005362704,0.0001843109,0.00006215739,0.0002448197,0.000110409,0.8294386,0.03837545,0.03124948,0.0009371739,0.09869772],"study_design_scores_gemma":[0.00001572777,0.000123257,0.0001282866,0.000007705957,0.00002611754,0.000120796,0.00001150622,0.9843827,0.007793162,0.006020581,0.001357335,0.00001284925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004790417,0.0001654548,0.9939219,0.00004575492,0.000007707701,0.00001239385,0.00001478734,0.00008276151,0.0009588224],"genre_scores_gemma":[0.5465584,0.0009084502,0.4492148,0.0000762304,0.00004803391,0.00010567,0.00008598142,0.0000418512,0.002960622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001284942,"threshold_uncertainty_score":0.004298508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1295706466918371,"score_gpt":0.3180622246574869,"score_spread":0.1884915779656498,"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."}}