A bit error rate estimation method for wireless communication systems

In wireless communication networks including cognitive radio, the integrity of transmitted signals is affected by several factors such as noise, multipath fading, and shadowing. Bit error rate (BER) can be used as one of the metrics to evaluate the performance of these systems. The knowledge of the BER at any time can help analyze the channels, improve quality of service, and enhance channel assignment in cognitive radio networks. In this paper, a method to estimate BER in noise-limited communication channels is developed. It first measures the noise samples using a few pilot samples and then estimates the BER using the received data samples. The use of a correction factor is proposed, which makes the required pilot samples as few as 32 samples. Simulation results indicate a very low mean square error (MSE) between the estimated and the original BER, which validates the effectiveness of the proposed method.

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