Your English writing platform
Discover LudwigSuggestions(1)
Exact(4)
For mesh networks, we have formulated a distributed subcarrier allocation problem to maximize the sum rate while satisfying minimum rate demand.
In this paper, we have presented a resource allocation method that maximizes the ergodic weighted-sum rate of a multiuser mobile WiMAX while satisfying user's specific minimum rate demand and system fairness requirement for a given power budget.
Figure 3 illustrates the tradeoff between the maximized weighted-sum rate and the fairness constraint when the minimum rate demand is relaxed to with The average user rates are updated according to (4) with.
Moreover, we analytically model the buffer requirements of video sources in two ways: first as constraints of the optimization problem to guarantee a minimum rate demand for each source, and second as a penalty function embedded as part of the objective function attempting to achieve the highest possible rate for each source.
Similar(56)
The first constraint in (5) is for the user's specific minimum data rate demand.
We consider a scenario where user 2 is every time closer to the base station than users 1 and 3 and the relative mean SNR difference between user 2 and users 1 and 3 is dB and dB, respectively, while the minimum data rate demand of user 3 is higher than the one of users 2 and 1.
Figure 6 shows the user's rate for different allocation schemes when the users minimum data rate demands are constrained to R k = 1 Mbps for all MCs.
Figure 2 shows the user's rate for different allocation schemes when the users minimum data rate demands are constrained to and the fairness parameter is set to 0. We observe that under optimal allocation based on perfect CDIT, the need of all users in terms of data rate is satisfied.
Furthermore, our design supports minimum sum-rate demand guarantee for active sessions of each mission.
Thus, each SU must have the demand for its minimum rate lower than the rate that it would have if it was the only SU in the spectrum (R_{ell }^{max}) defined in (5).
At high CRN demand, RAP-MAC tends to have the CRN flows using the minimum rate more often to allow multiple CRN flows to simultaneously share spectral opportunities.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com