{"id":"W2169600795","doi":"10.1109/glocom.2009.5426225","title":"Downlink Distributed Beamforming through Relay Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Beamforming; Relay; Telecommunications link; Computer science; Transmitter power output; Transmitter; Antenna (radio); Precoding; Relaxation (psychology); Power (physics); Electronic engineering; Computer network; Telecommunications; MIMO; 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":[0.0004496826,0.0007257675,0.000567739,0.0003223713,0.0002876664,0.0007442237,0.0004725645,0.0005804847,0.002722583],"category_scores_gemma":[0.001018964,0.000258916,0.0002653317,0.0006694889,0.0004026101,0.0008424633,0.0006245887,0.0005395259,0.001148528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004377367,"about_ca_system_score_gemma":0.0003958113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005628791,"about_ca_topic_score_gemma":0.0008655833,"domain_scores_codex":[0.9995496,0.0002021694,0.00001842504,0.00009128974,0.00009702444,0.000041538],"domain_scores_gemma":[0.9996974,0.0001328467,0.0000344623,0.00005115234,0.0000722769,0.00001191752],"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":[0.0002118159,0.00004833231,0.0004717815,0.0002764116,0.00007687203,0.0002598006,0.0001477742,0.5333186,0.03782818,0.1180285,0.005899407,0.3034326],"study_design_scores_gemma":[0.00009354841,0.0001925422,0.0002737213,0.00005583176,0.00006102523,0.0004246887,0.00006855332,0.9004645,0.0185394,0.05910019,0.02068121,0.00004462522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006745603,0.0009317209,0.9853365,0.0002115243,0.00003812899,0.00002594096,0.00007428861,0.0003352088,0.006301153],"genre_scores_gemma":[0.6902294,0.004282258,0.2908335,0.0003325487,0.0001931654,0.0002356323,0.0002567603,0.00008973965,0.01354707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002722583,"threshold_uncertainty_score":0.009107947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849153270027056,"score_gpt":0.2786294221146024,"score_spread":0.2501378894143318,"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."}}