{"id":"W2091738792","doi":"10.1109/glocom.2012.6503323","title":"A quadrature signaling based cooperative scheme for Cognitive Radio Networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cognitive radio; Computer science; Quadrature amplitude modulation; QAM; Quadrature (astronomy); Transmission (telecommunications); Mathematical optimization; Selection (genetic algorithm); Exploit; Power (physics); Computer network; Electronic engineering; Telecommunications; Engineering; Mathematics; Wireless; Channel (broadcasting); Bit error rate","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":[0.0008284102,0.0005626968,0.0003817209,0.0003829025,0.0004638583,0.000613576,0.001261658,0.0007209459,0.0008085527],"category_scores_gemma":[0.001079396,0.0001605757,0.0003609207,0.0006972273,0.000664841,0.000629894,0.0007834933,0.0006232787,0.0002321678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004931418,"about_ca_system_score_gemma":0.0006769848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078355,"about_ca_topic_score_gemma":0.001522349,"domain_scores_codex":[0.9994683,0.0001759142,0.0000208413,0.00007084918,0.0001968945,0.0000671303],"domain_scores_gemma":[0.9996988,0.0001079798,0.00004401177,0.00004099923,0.00008797699,0.0000203261],"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":[0.0003457306,0.0002835948,0.0008517448,0.0002911653,0.00009526121,0.0005591285,0.0004028777,0.3071194,0.1155068,0.3012375,0.003628137,0.2696787],"study_design_scores_gemma":[0.00004706926,0.0002734797,0.000181739,0.00001418856,0.0000343628,0.0002120303,0.0000220247,0.9715356,0.004600215,0.01997563,0.003074192,0.00002957598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01704164,0.0004463819,0.9782771,0.0001728941,0.00007410454,0.00006122204,0.00002113103,0.00009874986,0.003806729],"genre_scores_gemma":[0.8483548,0.0005579206,0.148386,0.0002283238,0.00007007825,0.0001407124,0.00004450318,0.0000101859,0.002207279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001261658,"threshold_uncertainty_score":0.00438112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948315762013555,"score_gpt":0.2569593385617906,"score_spread":0.237476180941655,"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."}}