{"id":"W2142743095","doi":"10.1109/glocom.2006.711","title":"WLC17-3: Performance of IEEE802.16 Random Access Protocol - Transient Queueing Analysis","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Retransmission; Random access; Exponential backoff; Queueing theory; Orthogonal frequency-division multiple access; Code division multiple access; Queue; Real-time computing; Orthogonal frequency-division multiplexing; Throughput; Network packet; Wireless; Telecommunications; Channel (broadcasting)","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":[0.002200935,0.0008619197,0.0007892528,0.0008198625,0.000552991,0.001064599,0.001005974,0.0007242558,0.002652103],"category_scores_gemma":[0.006689374,0.000170093,0.0005256191,0.0008507858,0.0007461815,0.001162378,0.0005948617,0.0006174439,0.0004381893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009609,"about_ca_system_score_gemma":0.001861515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0149134,"about_ca_topic_score_gemma":0.004192653,"domain_scores_codex":[0.9983424,0.0004527959,0.00005208417,0.0001818967,0.0004467999,0.0005240256],"domain_scores_gemma":[0.9961726,0.001924431,0.0003481004,0.0003042917,0.001120294,0.000130322],"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":[0.0005562366,0.0002300317,0.003708219,0.0001150219,0.00007305894,0.0002018005,0.00007194019,0.9450105,0.01063532,0.01525399,0.003204011,0.02093976],"study_design_scores_gemma":[0.000006092201,0.00005795696,0.0004463164,0.000003558616,0.000006126553,0.00001801745,0.0000108409,0.9972952,0.001461931,0.0005935933,0.00009356112,0.000006754503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7267927,0.002177766,0.2486428,0.0006139343,0.000215031,0.0001408226,0.0005783302,0.002963171,0.01787549],"genre_scores_gemma":[0.9935215,0.0001595372,0.004902674,0.00003924803,0.00002011629,0.00002771927,0.0001689382,0.00008986723,0.001070475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0149134,"threshold_uncertainty_score":0.02965319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005882493184886254,"score_gpt":0.2365693963863262,"score_spread":0.2306869032014399,"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."}}