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The fairness factors of audio and video traffic are set as, that is,, and the fairness factors of data traffic are set as, that is,.
Hence, we set larger fairness factors for the data traffic flows.
where 's are constants called the priority factors, and 's are called the fairness factors, defined by.
Furthermore, if we treat (frac {1}{M_{k}}) and (frac {1}{M_{g}}) as the rate weights or rate proportional fairness factors for source phase and relay phase, respectively, the objectives of the problems in (13) and (29) can be considered as the max-min fairness problems which aim to maximize the weighted minimal transmission rate.
Similar(56)
Next is the fairness factor.
Based on a fairness factor, they allocate capacity among nodes.
where α ∈ [0,1] is a fairness factor reflecting the design objective.
The fairness factor, P F factor, is computed as in the classical Proportional Fair PFF) algorithm [15], P{{F}_{text{factor}}}=frac{{{r}_{i}}(t)}{{{R}_{i}}(t)} quad, (5).
The figure shows the achieved FFR pattern in the network when our learning mechanism attains the equilibrium for a fairness factor α=1.
In this figure, we plot the performances achieved by our mechanism in comparison with the global optimum and a worst-case scenario for a fairness factor α=1.
The figure shows the achieved FFR pattern in the network when our learning mechanism attains the equilibrium for a fairness factor α = 0. Figure 8 Network utility for α = 0.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com