{"id":"W3139302202","doi":"10.1109/icc42927.2021.9501005","title":"Power Control in Spectrum Sharing Systems with Almost-Zero Inter-System Signaling Overhead","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Overhead (engineering); Computer science; Quality of service; Interference (communication); Power control; Constraint (computer-aided design); Computer network; Distributed computing; Transceiver; Channel (broadcasting); Power (physics); Telecommunications; Wireless; 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":[0.001774403,0.0007126765,0.001000488,0.0002958967,0.0004990261,0.001188469,0.001102177,0.0008758181,0.001335559],"category_scores_gemma":[0.004210027,0.0004521109,0.0003748167,0.0003485559,0.001844971,0.001374137,0.001793271,0.001185962,0.0001716421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009887156,"about_ca_system_score_gemma":0.0007226907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002254394,"about_ca_topic_score_gemma":0.001780012,"domain_scores_codex":[0.9985471,0.0004813882,0.00006764082,0.0003788221,0.000248739,0.0002762827],"domain_scores_gemma":[0.9977491,0.001391336,0.0003507782,0.0002180698,0.0001727906,0.0001178246],"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":[0.0001984959,0.00007069993,0.0005080014,0.00007843821,0.0000506695,0.0001635315,0.0001363774,0.9357203,0.006884586,0.02745193,0.0003643238,0.0283726],"study_design_scores_gemma":[0.00001297655,0.000038814,0.000107268,0.000003755513,0.000005705694,0.00002215492,0.00001208598,0.9887676,0.0004951739,0.01041045,0.0001194942,0.000004635504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08384793,0.0003006469,0.9120282,0.0002766456,0.00003292083,0.00003905663,0.0000262075,0.0001857068,0.003262748],"genre_scores_gemma":[0.9844397,0.00005716559,0.01459237,0.00004590989,0.00001707469,0.00002576233,0.000007363059,0.00001302022,0.0008016282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002254394,"threshold_uncertainty_score":0.009384036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204070827377401,"score_gpt":0.2197023262486926,"score_spread":0.2076616179749186,"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."}}