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As a result, the channel condition table (CCT) is created based on this channel condition.
Based on this channel model, the probability density function (PDF) of the output signal-to-noise ratio (SNR) is derived.
Based on this channel estimation, the quality of the channel may be evaluated, and the appropriate feedback information calculated.
Based on this channel model, Cover and El Gamal developed coding strategies known as decode-forward (DF) and compress-forward (CF) in [2].
Based on this channel estimate and the PSD on all these carriers, it will select the subcarrier that minimizes P b (Y l ), and hence will be the best to pair with its neighbor.
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Based on this required channel SNR, appropriate noise power was calculated and added to the transmitted signal.
Based on this aggregated channel matrix, the CCN obtains the precoding weights, consisting of the beamforming weights after power allocation.
The best available channel, based on the channel reassignment criteria, is reassigned to this call.
Since the beam-forming weights are computed based on the channel estimates, the beamformer compensates also for this phase error.
This assumption holds under some conditions based on the channel coherence bandwidth and the feedback rate [15].
Based on this pre-stage channel estimates, the parameters of the physical channel are estimated and enhanced channel estimates are obtained.
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