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Let u m,l be the utility for class m clients decoding layer l with decoding failure probability guaranteed to be below a given outage probability threshold.
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The outage capacity is the maximum transmission rate that the system can achieve for a given outage probability [11].
where γ(Pout) is the SINR needed to achieve a given outage probability Pout.
Accordingly, the secondary transmitters can increase their transmit powers P s and P R and still keep the outage probability of PUs below the given outage constraint ϵ.
Therefore, the secondary transmitters can increase their transmit power and still keep the outage probability of PUs below the given outage constraint ϵ.
As an important performance measure of wireless communication systems, the outage probability is defined as the probability that the instantaneous achievable rate falls below a given threshold R. Mathematically, the outage probability can be expressed as [32] P out R = Pr 1 2 log 2 1 + γ < R ≈ F γ up Δ, (21).
The outage event O i j is defined as the instantaneous achievable rate C falls below a given rate R with an outage probability Pr{O i j }= Pr{C<R}.
Besides using IPCs, PU outage probability constraint (OPC) can be used to protect PU transmission [83, 84], where the outage probability of the PU transmission should not be below a given threshold.
In this paper, we define the outage probability as the probability that the SIR at u falls below a given threshold δ.
In this paper, we define the outage probability as the probability that the SIR at the input of the receiver chain is falling below a given threshold value.
Some demand destructions may ease energy and commodity prices, but it's not a given if there are supply outages in the Middle East or elsewhere.
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