{"id":"W1996209955","doi":"10.1587/elex.7.203","title":"Joint beamforming and power control in MIMO cognitive radio networks","year":2010,"lang":"en","type":"article","venue":"IEICE Electronics Express","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Iran Telecommunication Research Center","keywords":"Cognitive radio; Beamforming; MIMO; Power control; Computer science; Base station; Joint (building); Quality of service; Interference (communication); Telecommunications link; Computer network; Transmission (telecommunications); Optimization problem; Power (physics); Electronic engineering; Telecommunications; Engineering; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009874009,0.0008414881,0.0007185222,0.0002747144,0.0003490672,0.0009833809,0.0006082797,0.0009454484,0.000925459],"category_scores_gemma":[0.001700804,0.0003629306,0.0003372859,0.000609451,0.0009856921,0.0008463963,0.0006020571,0.0005628644,0.0001980074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005678721,"about_ca_system_score_gemma":0.0006864455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893923,"about_ca_topic_score_gemma":0.00248135,"domain_scores_codex":[0.9991768,0.0002648894,0.00003063646,0.0001655722,0.0002169969,0.0001450547],"domain_scores_gemma":[0.9993557,0.0003827987,0.00009195499,0.00003176843,0.0001077668,0.00002995617],"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":[0.00009294179,0.00004203514,0.0003342956,0.00007255855,0.00004443946,0.0001353875,0.00007145319,0.9284648,0.005870731,0.02844564,0.0004919521,0.03593378],"study_design_scores_gemma":[0.00001850488,0.00007222548,0.0001605103,0.000005948826,0.00001140157,0.00003183286,0.00001946507,0.9853799,0.0008107375,0.01303125,0.0004477089,0.00001051052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01744637,0.001022703,0.9772089,0.0001945666,0.00006838085,0.00002029878,0.00001929094,0.00008624231,0.003933187],"genre_scores_gemma":[0.9574082,0.0007460587,0.03821915,0.0001179995,0.0001296722,0.00006457237,0.00001787701,0.00002060415,0.003275856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002893923,"threshold_uncertainty_score":0.005754173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005438369779648701,"score_gpt":0.2118898905538984,"score_spread":0.2064515207742497,"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."}}