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The authors employ the utility maximization framework to find the joint power-frequency-time resource allocation that maximizes the sum rate of a WMN while satisfying users minimum rate requirements.
This maximizes the sum rate as well as spectral efficiency.
In Appendix, we derive the set of users that maximizes the sum utility (14).
It maximizes the sum of PSNRs under the constraints of individual PSNR.
We design an efficient algorithm that maximizes the sum of array elements of a subarray of a two-dimensional array.
We briefly compare our problem with the maximum subarray problem where we obtain a subarray that maximizes the sum.
The first one is the maximum sum correlated equilibrium that maximizes the sum of utilities of players.
We propose a user selection algorithm that maximizes the sum rate in (9) in a multicell environment.
The algorithms find a set of links for which exists a feasible resource allocation that maximizes the sum rate.
This is because the NBS_SP maximizes the sum of PSNRs without taking the individual PSNR constraints into account.
The proposed method maximizes the sum capacity of BE users subject to rate constraints of GP users.
More suggestions(15)
maximizes the energy
maximizes the number
maximizes the Π2-theory
maximizes the coding
maximizes the ease
maximizes the variety
maximizes the price
maximizes the efficiency
maximizes the capacity
maximizes the space
maximizes the likelihood
maximizes the surface
maximizes the effectiveness
maximizes the amount
maximizes the impact
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