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The main objectives are to minimize the makespan and maximize the fairness (energy-balancing), while satisfying the task precedence constraints and energy harvesting causality constraints.
It first tries to maximize the fairness and then uses the remaining unused network resources to maximize the overall network throughput.
The solution objectives are to minimize the makespan and maximize the fairness in energy-driven task mapping (i.e., energy-balancing), while satisfying the task precedence constraints and energy harvesting causality constraints.
The solution objectives are to minimize the scheduling length of the task graph and maximize the fairness in energy-driven task mapping, while satisfying energy harvesting causality constraints and the task precedence constraints.
The goals are to minimize the makespan and maximize the fairness in energy-driven task mapping (i.e., energy-balancing), while satisfying the task precedence constraints and energy harvesting causality constraints.
Similar(55)
The FsPF scheduler operates by applying the proportional fair principle to each RB at a time, and allocating each RB to the user who maximizes the fairness ratio.
In this paper, we model the channel heterogeneity and present a cross-layer optimization framework which jointly considers the spectrum sharing and routing with the objective of maximizing the fairness ratio.
The detailed solution of how to maximize the proportional fairness metric in Equation 9 in a two cell setup is given in [47].
Furthermore, the multi-objective decision-making problem is solved to maximize the proportional fairness (PF) utility [22] and area capacity of multi-tier heterogeneous cellular networks.
In [5], a fair subcarrier and power allocation scheme to maximize the Nash bargaining fairness has been proposed.
Therefore, among the objectives of our approach in this paper is to identify the actual "best" users that should transmit in order to maximize the throughput, when the fairness constraints are introduced and respected.
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