{"id":"W2523975658","doi":"","title":"Joint optimal power allocation and relay selection with spatial diversity in wireless relay networks","year":2011,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Relay; Mathematical optimization; Base station; Computer science; RSS; Wireless; Optimization problem; Selection (genetic algorithm); Wireless network; Node (physics); Power (physics); Computer network; Mathematics; Engineering; Telecommunications; Artificial intelligence","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":[0.001407743,0.0007811089,0.0008262611,0.0004150971,0.0002901821,0.0006649804,0.0006294001,0.0007890543,0.0009384258],"category_scores_gemma":[0.003057359,0.0003916419,0.0003688392,0.0009820177,0.0009227159,0.0009516439,0.0007523312,0.0003676346,0.0001813565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007421956,"about_ca_system_score_gemma":0.0004270978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476193,"about_ca_topic_score_gemma":0.001279548,"domain_scores_codex":[0.9989941,0.0006465037,0.00002620786,0.000103498,0.0001347028,0.00009506991],"domain_scores_gemma":[0.9987465,0.0009649111,0.0001233675,0.00004508005,0.00009386327,0.00002632675],"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":[0.00006237441,0.00001961203,0.0002131754,0.00003203829,0.00001953181,0.00006745833,0.00002819993,0.9849337,0.00118412,0.004969312,0.0001989992,0.00827157],"study_design_scores_gemma":[0.0000152089,0.00003791661,0.00007062817,0.000002814434,0.000005905232,0.00002068416,0.00001301911,0.9950182,0.0003967909,0.004304192,0.000111133,0.000003460849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.120948,0.0008929952,0.8712745,0.0003513283,0.00003104977,0.00005001075,0.00005338574,0.000105763,0.006292958],"genre_scores_gemma":[0.965958,0.0003590615,0.0320584,0.00003230377,0.00003236331,0.00006174817,0.00002041874,0.00001490976,0.001462841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001476193,"threshold_uncertainty_score":0.007444918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870162016267955,"score_gpt":0.2280032232263521,"score_spread":0.1993016030636726,"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."}}