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- W1903303577 startingPage "176" @default.
- W1903303577 abstract "MANAGING OF THE BANDWIDTH RESOURCES IN A WATM SYSTEM, IT RESULTS MORE CRITICAL THAN IN AN ATM SYSTEM, DUE TO THE RESOURCES SCARCITY AND TO THE TRANSMISSION MEDIUM WITH LESSER RELIABILITY. THEREFORE, TRAFFIC AND CONGESTION CONTROL MECHANISMS, MORE SECURE THAN THE ONES USED IN ATM, ARE REQUIRED. THIS RESEARCH WORK IS AIMED AT THE DEVELOPMENT OF A WIRELESS ATM SCHEDULER BASED ON THE TRAFFIC PREDICTION, USING ARTIFICIAL NEURAL NETWORKS AT THE ATM SWITCH ENTRANCE, IN ORDER TO CONTROL AND SHAPE THE TRAFFIC IN THE SWITCH EXIT CONNECTION (WIRELESS LINK). CONSEQUENTLY, THIS REDUCES THE CONGESTION CONDITIONS MAINLY ORIGINATED FOR THE BURSTY TRAFFIC FROM THE REAL TIME AND NON-REAL TIME ABR AND VBR SERVICES. CONNECTION ADMISSION CONTROL AND ABR FLOW CONTR" @default.
- W1903303577 created "2016-06-24" @default.
- W1903303577 creator A5059920528 @default.
- W1903303577 creator A5089687338 @default.
- W1903303577 date "2005-12-31" @default.
- W1903303577 modified "2023-09-23" @default.
- W1903303577 title "Neuroplanificador de ATM Inalámbrico para Predecir y Conformar los Tráficos VBR y ABR" @default.
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- W1903303577 doi "https://doi.org/10.13053/cys-8-3-1087" @default.
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