{"id":"W2610471387","doi":"10.1017/9781316212493.009","title":"Joint Power and Admission Control in Cognitive Radio Networks","year":2017,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of Manitoba","funders":"","keywords":"Cognitive radio; Quality of service; Computer network; Computer science; Wireless; Radio spectrum; Joint (building); Wireless network; Power control; Telecommunications; Service (business); Radio resource management; Power (physics); Business; Engineering","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":[0.0007298834,0.0008353557,0.0006589624,0.0003898095,0.000474327,0.00193158,0.001116294,0.001178934,0.002510136],"category_scores_gemma":[0.001803874,0.0002852089,0.0003247778,0.0009045506,0.001616698,0.001362766,0.001040957,0.002001391,0.0008557824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109071,"about_ca_system_score_gemma":0.001227454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002089919,"about_ca_topic_score_gemma":0.001166687,"domain_scores_codex":[0.9992933,0.0001482419,0.00002790552,0.0001093107,0.0003488987,0.0000723516],"domain_scores_gemma":[0.9995975,0.0002475391,0.00002409765,0.00004308211,0.00006419289,0.00002362808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008817256,0.00006892329,0.0001457829,0.0002156643,0.00003903123,0.0001846866,0.0002299063,0.1176079,0.002883137,0.5754926,0.01886733,0.2841768],"study_design_scores_gemma":[0.00003681318,0.00006558893,0.0002579558,0.0001573734,0.00002977699,0.0001870639,0.00005851018,0.3361048,0.001253764,0.5839335,0.07785898,0.00005596738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007357566,0.05616938,0.7777708,0.003415795,0.002653483,0.00008039021,0.0000806736,0.0005817849,0.1518901],"genre_scores_gemma":[0.6705701,0.06043721,0.1486891,0.001519668,0.005426212,0.0004228512,0.0001740866,0.0001922921,0.1125685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002510136,"threshold_uncertainty_score":0.008397222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900493256814113,"score_gpt":0.2059118712179641,"score_spread":0.186906938649823,"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."}}