{"id":"W4407691637","doi":"10.1109/mecom61498.2024.10880893","title":"Downlink Power Adaptation with Stochastic Poisson Interference in Short Packet D2D Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities","keywords":"Telecommunications link; Adaptation (eye); Interference (communication); Network packet; Computer science; Power (physics); Stochastic geometry; Poisson distribution; Computer network; Physics; Mathematics; Statistics","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":[0.0006928486,0.0007427435,0.0008510274,0.0003487289,0.0004618842,0.0008223025,0.0009610371,0.0005418027,0.0008015648],"category_scores_gemma":[0.001391887,0.0003049864,0.0003753645,0.0008380532,0.0007833794,0.0008535713,0.001013995,0.0006797399,0.0001503829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008277897,"about_ca_system_score_gemma":0.0005823294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002287913,"about_ca_topic_score_gemma":0.001603339,"domain_scores_codex":[0.9994455,0.0001673778,0.00002030376,0.0001053266,0.0001479938,0.0001135165],"domain_scores_gemma":[0.9993519,0.0003601004,0.00008823976,0.00003808393,0.0001144465,0.0000471542],"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":[0.00008514484,0.0000258161,0.0005997327,0.00006982755,0.00003455709,0.0001615419,0.00005679349,0.9592203,0.00355044,0.01634955,0.000852145,0.01899413],"study_design_scores_gemma":[0.000005322172,0.00002618429,0.00008551887,0.000002517706,0.000006732767,0.0000306768,0.0000149226,0.9960455,0.0004284567,0.003093728,0.0002550615,0.000005277941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02724385,0.0006119151,0.9697694,0.0001691211,0.00006444794,0.00002551667,0.00003437138,0.00007377277,0.002007621],"genre_scores_gemma":[0.9607286,0.0007122733,0.03614342,0.0001434277,0.00009088641,0.0000573965,0.00003962755,0.00002356914,0.002060744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002287913,"threshold_uncertainty_score":0.006006062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009314363700764524,"score_gpt":0.2169125437528668,"score_spread":0.2075981800521022,"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."}}