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The proportional fair allocation offers a better trade off between fairness and throughput.
A detailed theoretical analysis is provided to derive the optimal station attempt probability which leads to a proportional fair allocation of station throughputs.
Setting to results in the proportional fair allocation.
For, this results in the proportional fair allocation.
With respect to scheduling, LTE-A performs a proportional fair allocation of resources.
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Definition 2. The Proportional fair Rate Allocation (PRA) problem seeks a feasible rate allocation vector , along with a feasible flow allocation vector and a feasible transmission schedule vector such that the utility function is maximized.
Among these schemes, to achieve a tradeoff between the power efficiency and the fairness along the time, a proportional fair power allocation scheme was proposed and its ε-optimal solution was presented.
To achieve a tradeoff between the total link capacity and the fairness along the time, a proportional fair power allocation optimization problem is formulated as maximize ∑ t = 0 T ln C ~ ( t ) (11a) subject to 1 T + 1 ∑ t = 0 T P ( t ) ≤ P av, (11b) variables P ( t ) ≥ 0, t ∈ [ 0, T ], (11c).
Moreover, the optimal solution of the relaxed problem can achieve not only the proportional fair power allocation along time but also the proportional fair packet allocation along the time for each service.
Proportional fair resource allocation plays a critical role to enhance the performance of slow adaptive orthogonal frequency division multiple access (OFDMA) system.
In this work, we formulate a proportional fair resource allocation problem based on chance-constrained programming for slow adaptive OFDMA system which maximizes the average sum-rate in an adaptive time window and guarantees the Jain fair index (JFI) requirement with the target probability.
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