{"id":"W2108986278","doi":"10.1109/twc.2011.070511.091419","title":"Dynamic Spectrum Management for Multiple-Antenna Cognitive Radio Systems: Designs with Imperfect CSI","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cognitive radio; Computer science; Convex optimization; Channel state information; Transmitter; MIMO; Mathematical optimization; Linear matrix inequality; Optimization problem; Channel (broadcasting); Precoding; Wireless; Telecommunications; Mathematics; Algorithm; Regular polygon","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002826611,0.0003329641,0.0003458516,0.0003409884,0.00106806,0.0001768931,0.001309147,0.00008887183,0.000006875577],"category_scores_gemma":[0.000003571065,0.0003114376,0.0001842905,0.0007053274,0.0002435449,0.0004121291,0.0000173868,0.0003850574,0.00002536606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917807,"about_ca_system_score_gemma":0.00006905281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001440997,"about_ca_topic_score_gemma":0.0009549923,"domain_scores_codex":[0.9980503,0.0002517468,0.000386732,0.0005613232,0.0002339525,0.00051592],"domain_scores_gemma":[0.99685,0.0008628034,0.0001664013,0.001779856,0.0001898392,0.0001511625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003288991,0.01304098,0.0005766579,0.0008363891,0.009256494,0.0003163407,0.02826349,0.02457145,0.004534615,0.2017467,0.0002724607,0.7132955],"study_design_scores_gemma":[0.001987203,0.0006042777,0.0007314358,0.0005117056,0.0002584998,0.0001208147,0.0008779729,0.9921554,0.001653632,0.0003749812,0.0001218697,0.0006022055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005203668,0.0002509351,0.9906644,0.0003618523,0.0003105466,0.001594808,0.0000587794,0.0003824011,0.001172674],"genre_scores_gemma":[0.9580455,0.0007620586,0.04026235,0.00008431634,0.00001416131,0.0005612168,0.00001324311,0.000050377,0.0002067346],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.967584,"threshold_uncertainty_score":0.9999338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03983127119657199,"score_gpt":0.2566539957845534,"score_spread":0.2168227245879814,"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."}}