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The experimentally determined maximum arrival rate between two testbed nodes is 49.3 RFUs per second.
The node with maximum arrival rate receives ≃2 jobs per cycle.
We plot in Figure2 the blocking probability of primary users for the two schemes to show the maximum arrival rate supported while limiting blocking at 1%.
We assume that 0 ≤ a n (t) ≤ a max, ∀n, t, a max is the maximum arrival rate for every data queue.
It was first introduced by Wu and Negi in [19] to describe the maximum arrival rate a given service process can support in order to guarantee a QoS requirement.
Each scheme is augmented with a prediction mechanism, which predicts the total maximum arrival rate and the maximum waiting time for each priority class based on the arrival rate in the current and last three measurement intervals.
Similar(53)
Moreover, applying an average interference power constraint which is required to be fulfilled by the secondary user, they obtained the maximum arrival-rate supported by a Rayleigh block-fading channel subject to satisfying a given statistical delay QoS constraint.
This division is inefficient in the cases where some of the nodes have lower-than-maximum arrival rates.
We have dimensioned our experiments so that the maximum average arrival rate is 40 RFUs per second.
It is then important to know the maximum PUs arrival rate that can be supported by the system while achieving this QoS.
In[1], Wu and Negi defined the effective capacity as the maximum constant arrival rate that a given service process can support in order to guarantee a statistical QoS requirement specified by the QoS exponent θa.
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