{"id":"W2120835481","doi":"10.1109/wcnc.2006.1683510","title":"Saturation throughput of IEEE 802.11e EDCA based on mean value analysis","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Distributed coordination function; IEEE 802.11; IEEE 802; Quality of service; Throughput; Computer network; IEEE 802.11e-2005; Channel (broadcasting); Frame (networking); Real-time computing; Wireless; Wireless network; Telecommunications","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":[0.002453918,0.0005127327,0.0009018677,0.001091264,0.0005570318,0.001056847,0.001083197,0.0007172567,0.0009285259],"category_scores_gemma":[0.009135076,0.0003356854,0.000414943,0.0009101979,0.00111031,0.001824765,0.0006676771,0.0007856019,0.0001441873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003052289,"about_ca_system_score_gemma":0.001407999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00534871,"about_ca_topic_score_gemma":0.001874013,"domain_scores_codex":[0.9985772,0.000549984,0.00003820717,0.000156754,0.0004538631,0.0002238756],"domain_scores_gemma":[0.9945549,0.004073171,0.0002594541,0.0003220038,0.0007165213,0.00007398977],"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":[0.0002422642,0.00006768809,0.001397277,0.00005180742,0.00003384596,0.00009342266,0.0001588282,0.9142771,0.005181649,0.05750909,0.0008198246,0.02016722],"study_design_scores_gemma":[0.000002221592,0.00001098039,0.0001114618,0.000003078171,0.000002531749,0.00001149886,0.000004950519,0.9964478,0.0004671416,0.002862339,0.00007114834,0.000004752239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.33926,0.002366564,0.642767,0.0007899117,0.00008788866,0.00005837364,0.000127619,0.001084334,0.01345823],"genre_scores_gemma":[0.9923815,0.0002309749,0.006750255,0.00003682521,0.00001522184,0.00001913276,0.00002510229,0.00002253879,0.0005183996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00534871,"threshold_uncertainty_score":0.02214605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009973290445218724,"score_gpt":0.2453219632635322,"score_spread":0.2353486728183135,"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."}}