Transceiver Noise Modeling refers to the process of characterizing and analyzing the various noise sources that affect the performance of a transceiver that both transmits and receives signals in communication systems. This modeling is essential for predicting and optimizing the transceiver’s performance, especially in terms of signal quality, error rates, and overall system reliability.
We propose a method to estimate the input power dependency of the transceiver BER-OSNR characteristic. Experiments using commercial transceivers show that estimation error in Q-factor is less than 0.2 dB.
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