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First, we assume that the delay-sensitive primary user employs an optimal power control policy for minimizing outage probability, i.e. truncated channel inversion power control policy.
The fairness nature of the proposed strategy comes from the fact that the same energy is allocated to all the nodes of the active set, being this energy optimized with the aim of minimizing outage probability.
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The former is solely concerned with minimizing outages while the latter combines energy awareness while minimizing outages.
Hasna and Alouini [2] attempted to minimize outage probability under a total transmit power constraint.
Luo et al. [7] derived the properties of the optimal save-ratio which minimizes outage probability, while [8] studied the achievable throughput optimization with regard to energy harvesting rate under deterministic case and stochastic case.
Under the constraint of PU system protection, the optimal sensing time to maximize the throughput [36] and to minimize outage probability [37] of the SU system have been studied, respectively.
As the hurricane whirls its way up the East Coast, each of the major wireless carriers in the United States is taking steps to minimize outages and damage to its network.
They'll also have to minimize outages like the one Dropbox suffered last week which scare away enterprises.
Financial losses due to Cloud outages foment studies about HA solutions, in order to minimize outages for Cloud providers.
In particular, we consider the following power optimization schemes: (i) minimizing of the all transmission powers subject to an outage constraint; and (ii) minimizing the outage probability subject to constraint on total transmit powers.
A suboptimal scheme is proposed in Section 5.3 aimed at minimizing the outage probability.
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