{"id":"W1503937341","doi":"10.1109/icupc.1996.557766","title":"Maximization of the channel utilization in wireless heterogeneous multi-access networks","year":2002,"lang":"en","type":"article","venue":"Proceedings of ICUPC - 5th International Conference on Universal Personal Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Aloha; Computer science; Rayleigh fading; Computer network; Throughput; Channel (broadcasting); Power control; Fading; Capture effect; Wireless network; Network packet; Transmission (telecommunications); Maximization; Wireless; Power (physics); Mathematical optimization; Telecommunications; Mathematics","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":[0.002101481,0.0007384482,0.0008712652,0.0006326254,0.000582772,0.001601474,0.0008302314,0.0006098493,0.0005633699],"category_scores_gemma":[0.004125669,0.0003630527,0.0002628363,0.000999218,0.001216303,0.001658525,0.001195967,0.0004936278,0.0001136058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252791,"about_ca_system_score_gemma":0.0008265108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001877094,"about_ca_topic_score_gemma":0.001384071,"domain_scores_codex":[0.9988571,0.0005771114,0.00003212801,0.0001216652,0.0001740898,0.0002378802],"domain_scores_gemma":[0.9977501,0.00159607,0.0002300139,0.00009699711,0.0001792931,0.0001475288],"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":[0.00008382624,0.00003111229,0.0006552821,0.00007580563,0.0000415949,0.0001366407,0.00005594751,0.9599288,0.002650378,0.02306719,0.0004390263,0.0128345],"study_design_scores_gemma":[0.00000876482,0.00003133207,0.0002129857,0.000007967774,0.00001485714,0.00002986926,0.00003870514,0.9868158,0.0009650289,0.0115106,0.0003564093,0.000007802762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1574496,0.00260195,0.8340921,0.0004796211,0.00006337527,0.00006191084,0.00008088962,0.0001509055,0.005019601],"genre_scores_gemma":[0.9849597,0.0007790619,0.01330724,0.00003770922,0.00005322556,0.00004341659,0.00002383211,0.00002713538,0.0007687412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002101481,"threshold_uncertainty_score":0.01111382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1795540261395999,"score_gpt":0.3355169387861645,"score_spread":0.1559629126465645,"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."}}