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(2.19a) (2.19b)

<restriction base = QName id = ID {any attributes with non-schema namespace . . .}> Content: (annotation , (group | all | choice | sequence) , ((attribute | attributeGroup)*, anyAttribute )) </restriction>

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equations are known to describe many experimentally observed dynamics with amazing accuracy; see again 4 for more examples. Complicated dynamics in the LK equations have been studied mainly by direct numerical simulation. However, when advanced numerical methods for DDEs recently became available, the LK equations emerged as a natural first application. The following sections review some recent work on the bifurcation analysis of the COF laser as modelled by the LK equations.

14.3.4 Simulation Results The performance of the (UWB)2 was analyzed by means of simulations in order to evaluate its behavior in terms of throughput and delay. The simulation scenario consisted of N terminals, randomly located in an area of 80 80 m2 size. Each terminal was characterized by a radio transmission range of 120 m in order to guarantee almost full connectivity between terminals. Each terminal generated MACPDUs to other terminals in the network following a Poisson process characterized by an average interarrival time TPDU . The size of each MACPDU, with the format reported in Figure 14.7, was set to L 2000 bits. As regards UWB physical layer parameters,

We now setup a simulation according to section 1443 in ns-2 In this section we present the results of this simulation To compare the output of our model with the measured results presented in Figure 1415(a) we ran three different setups: with login and without a login process, which is similar to the Paxson model, where in fact only the size of the emails is distributed differently The rst two scenarios should analyse the impact of a separate login process emulation The third setup is used to show possible gains over common models The outcome of the rst scenario is depicted in Figure 1415(b) The gure is very similar to the measured result in Figure 1415(a) The 2D correlation coef cient of this result with the measured data is 091, which indicates a high similarity.

Document Revision number (1998)

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