{"id":"W2125887002","doi":"10.1109/glocom.2009.5425976","title":"Efficient Mutual Interference Minimization and Power Allocation for OFDM-Based Cognitive Radio","year":2009,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cognitive radio; Computer science; Subcarrier; Orthogonal frequency-division multiplexing; Cyclic prefix; Interference (communication); Transmitter; Power control; Computer network; Transceiver; Co-channel interference; Electronic engineering; Channel (broadcasting); Telecommunications; Power (physics); Engineering; 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":[0.0003910867,0.0002144575,0.000177959,0.0002178674,0.0002490879,0.0002864676,0.0003795193,0.0002081654,0.000309734],"category_scores_gemma":[0.001177818,0.0001084402,0.0001418366,0.0002339526,0.000329493,0.0002651694,0.0002707021,0.000186485,0.0001056271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772266,"about_ca_system_score_gemma":0.0003624402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005763249,"about_ca_topic_score_gemma":0.0008758666,"domain_scores_codex":[0.9997486,0.00007887481,0.000008825538,0.00002387372,0.0001102897,0.00002959814],"domain_scores_gemma":[0.9997199,0.000146863,0.00004255098,0.00003338833,0.00004631577,0.0000108592],"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":[0.0003892811,0.0002421206,0.001658947,0.0001151767,0.0000844418,0.0002792779,0.0002237157,0.537279,0.1070571,0.0394704,0.001002101,0.3121985],"study_design_scores_gemma":[0.00001532506,0.00009734196,0.0003384889,0.00000323549,0.00001442526,0.0001086896,0.0000134699,0.9829171,0.01191923,0.004003325,0.0005613592,0.000008010404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09624895,0.0002156866,0.9005901,0.00004975105,0.00001214963,0.00001787241,0.000009080139,0.00009054228,0.002765801],"genre_scores_gemma":[0.9137427,0.0001071701,0.08553449,0.00002600131,0.00001288851,0.0000257569,0.00001070145,0.00000784036,0.0005324953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005763249,"threshold_uncertainty_score":0.002068281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250370079982434,"score_gpt":0.2427638388613421,"score_spread":0.2302601380615177,"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."}}