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The buffer occupancy in a given instance can be expressed as [19].
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Observing the mean buffer occupancy in Figure 8(a), the WFO clearly limits the buffer occupancy to a same and reasonable value whatever the position of the mobile.
For a chosen user, the rate is equal to its total buffer occupancy in slot.
Under, buffer occupancy in slot is equal to the number arrivals since the last time was scheduled.
To find the buffer occupancy in the system, we use modified Shannon expression which depends on signal-to-noise ratio (SNR) and modulation and coding scheme (MCS).
During the time interval (125 s–175 s) the value of the threshold (th) is decreased to 75% of buffer occupancy in order to overcome any queue size oscillation.
In accordance with this, during the time interval (125 s–175 s) the value of the threshold (th) is decreased to 50% of the buffer occupancy in order to overcome the increase in the buffer size (increase as shown in Figure 13) for VQ and ARED.
As mentioned above, high buffer occupancy is undesirable in a shared-media network so that each neighboring node should have only a buffer space reservation; hence, a maximum m equal to the number of its neighboring nodes while a minimum m equal to 1 in the case of Tc = 1.
Monitoring local buffer occupancy is a commonly used technique in congestion detection [10, 11].
Publications that are more closely related include a different model which use the Markov Modulated Poisson Process (MMPP) to capture the buffer occupancy with a special case of the model studied in this paper.
Several analytical formulas exist, for example to characterize request mean waiting times, or waiting buffer occupancy probabilities in single queueing systems.
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