The inherent complexity of modern communication networks, whose performance depends on a variety of aspects, makes almost impossible the assessment of the quality of service experienced by the final user by means of analytical investigations. Apart from the realization of real testbeds (which has often prohibitive costs), simulation is the only feasible way to gain an insight into the performance provided to the final user. Unfortunately, publicly available network simulators generally adopt simplified approaches to model the physical layer behavior of supported technologies. On the other hand, the realization of a home made simulator is quite a difficult task, especially when wireless technologies are concerned, which require an accurate modelling of propagation phenomena. In this paper several strategies are presented which are aimed at reducing the burden of physical layer simulations within the context of network simulations; their characteristics, with advantages and lacks are thoroughly discussed.
G. Pasolini, A. Bazzi (2012). On the accuracy of physical layer modelling within wireless network simulators. SIMULATION MODELLING PRACTICE AND THEORY, 22, 47-60 [10.1016/j.simpat.2011.11.004].
On the accuracy of physical layer modelling within wireless network simulators
PASOLINI, GIANNI;A. Bazzi
2012
Abstract
The inherent complexity of modern communication networks, whose performance depends on a variety of aspects, makes almost impossible the assessment of the quality of service experienced by the final user by means of analytical investigations. Apart from the realization of real testbeds (which has often prohibitive costs), simulation is the only feasible way to gain an insight into the performance provided to the final user. Unfortunately, publicly available network simulators generally adopt simplified approaches to model the physical layer behavior of supported technologies. On the other hand, the realization of a home made simulator is quite a difficult task, especially when wireless technologies are concerned, which require an accurate modelling of propagation phenomena. In this paper several strategies are presented which are aimed at reducing the burden of physical layer simulations within the context of network simulations; their characteristics, with advantages and lacks are thoroughly discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.