{"id":"W2016276204","doi":"10.1109/icc.2012.6364048","title":"Asymptotic analysis of outage probability in cognitive radio networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cognitive radio; Poisson point process; Asymptotic analysis; Cumulant; Point process; Interference (communication); Applied mathematics; Exponential distribution; Poisson distribution; Computer science; Statistical physics; Exponential function; Coverage probability; Asymptotic analysis; Mathematics; Statistics; Physics; Mathematical analysis; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001884095,0.00007739903,0.000229552,0.0001623623,0.000006370913,0.000003044025,0.00003660404,0.00005424892,0.00009966376],"category_scores_gemma":[0.00004729804,0.00007512647,0.00005000713,0.0008021696,0.00001574229,0.0001835533,0.000009842047,0.00006071045,0.000002821177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007906525,"about_ca_system_score_gemma":0.000002649058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001831933,"about_ca_topic_score_gemma":0.0001046693,"domain_scores_codex":[0.9994268,0.00002604427,0.0002418456,0.00007896313,0.000050402,0.0001759789],"domain_scores_gemma":[0.9996976,0.00008436754,0.00003022672,0.0001156403,0.0000321884,0.00004001322],"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":[0.000002374415,0.0000211829,0.1247745,0.00001695538,0.000129585,1.234644e-7,0.0002386523,0.8742394,0.000022149,0.0001202553,0.000005036518,0.0004297801],"study_design_scores_gemma":[0.0001689272,0.000005287758,0.05595744,0.000016539,0.0001598469,2.852609e-7,0.0001023521,0.9432541,0.0002188918,0.00001556208,0.000005303091,0.00009553191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1730256,0.0003735706,0.8218251,9.627248e-7,0.0000831326,0.0002001196,0.000003536757,0.00008444532,0.004403486],"genre_scores_gemma":[0.9970021,0.00001419348,0.002862943,0.000003381913,0.00002143875,0.00001654153,0.00001941226,0.00001086707,0.00004911079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8239765,"threshold_uncertainty_score":0.3063569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388980838936676,"score_gpt":0.2383411594468565,"score_spread":0.2244513510574897,"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."}}