Broadband access and multimedia technologies are expected to be primary drivers for the telecommunications market of the next few years. The increasing bandwidth needs, together with the plethora of different services and heterogeneous traffic flows, requires accurate methodologies for resource dimensioning, especially in the field of wireless technologies where efficient bandwidth usage is crucial. New methodologies need to be based on up-to-date traffic source modeling and usage scenarios. Therefore, in this article we propose a survey of statistical characterization of single traffic sources, QoS requirements and different traffic demands. When possible, we consider the aggregate traffic resulting from a large number of heavy tailed ON/OFF sources, relying on the theory of long-range dependent flows. This method is particularly useful when time- and resource-consuming simulations are needed in order to dimension the system resources, which is always the case in the multimedia scenarios of future networks. We use such a traffic framework to estimate by simulations the capacity of an LMDS system.
Cell capacity of LMDS systems in typical traffic scenarios / G., Iacovoni; Isopi, Marco; D., Pierotti; D., Parisi. - In: IEEE COMMUNICATIONS MAGAZINE. - ISSN 0163-6804. - STAMPA. - 43:4(2005), pp. 122-129. [10.1109/mcom.2005.1421915]
Cell capacity of LMDS systems in typical traffic scenarios
ISOPI, Marco;
2005
Abstract
Broadband access and multimedia technologies are expected to be primary drivers for the telecommunications market of the next few years. The increasing bandwidth needs, together with the plethora of different services and heterogeneous traffic flows, requires accurate methodologies for resource dimensioning, especially in the field of wireless technologies where efficient bandwidth usage is crucial. New methodologies need to be based on up-to-date traffic source modeling and usage scenarios. Therefore, in this article we propose a survey of statistical characterization of single traffic sources, QoS requirements and different traffic demands. When possible, we consider the aggregate traffic resulting from a large number of heavy tailed ON/OFF sources, relying on the theory of long-range dependent flows. This method is particularly useful when time- and resource-consuming simulations are needed in order to dimension the system resources, which is always the case in the multimedia scenarios of future networks. We use such a traffic framework to estimate by simulations the capacity of an LMDS system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.