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Based on these results we propose a methodology for the design of the optimal (fair) decision rules.
Power allocation is used to maximize sum utility derived from a wireless network operation to yield throughput optimal, fair, and energy-efficient communications.
This approach is based on multivariable state-space control theory and uses the Linear Quadratic Integral (LQI) controller to periodically update CWmin till the optimal fair point of operation.
Assuming that individuals differ in both their preferences and their labour skills, the main objective of these papers is to provide criteria for the characterisation of the optimal fair tax scheme over observable income levels.
Self-perceived health was categorized as optimal (very good and good) vs. less than optimal (fair, poor and very poor).
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When examining our secondary hypothesis we wanted to examine the odds of gaining weight among women who rated their health as sub-optimal (fair, poor or very poor) at baseline.
The first paper titled "Optimal and fair resource allocation for multiuser wireless multimedia transmissions" by Z. Guan, D. Yuan, and H. Zhang proposes an optimal and fair strategy for multiuser multimedia radio resource allocation based on copetition, a mixture of cooperation and competition.
In this paper, we have presented an optimal and fair co-opetition strategy for multiuser multimedia RRA.
More optimal and fair scheme for determining the threshold PSNR will be investigated in our future work.
This paper then proposes novel design guidelines for an optimal and fair operation of both homogeneous and heterogeneous environments mixed with different applications and workloads.
Main contribution of this paper relies on the proposal of a novel co-opetition strategy for RRA in multimedia services, which is both optimal and fair.
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