Outage probability
2016-08-23
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In electrical engineering, computer science and information theory, channel capacity is the tightest upper bound on the rate of information that can be reliably transmitted over a communications channel. By the noisy-channel coding theorem, the channel capacity of a given channel is the limiting information rate (in units of information per unit time) that can be achieved with arbitrarily small error probability.
In fading channels, the received signal has no constant power which be depending on the channel, can be described by probability models. Thus, signal to noise ratio will also becomes a random variable. and Thus the maximum capacity of the channel becomes a random variable. Outage probability says according to the variable signal to noise ratio at the received end, what is the probability that a rate is not supported due to variable signal to noise raito.They are different aspects of performance metric. BER is the performance of the receiver, but outage probability is a me
In fading channels, the received signal has no constant power which be depending on the channel, can be described by probability models. Thus, signal to noise ratio will also becomes a random variable. and Thus the maximum capacity of the channel becomes a random variable. Outage probability says according to the variable signal to noise ratio at the received end, what is the probability that a rate is not supported due to variable signal to noise raito.They are different aspects of performance metric. BER is the performance of the receiver, but outage probability is a me
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