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Cognitive radio has lot a technical issues and channel estimation is one of them. The amount of data which could be transferred via channel in a provided time interval is referred as channel estimation. A lot of previous techniques like Least Square (LS), Discrete Fourier Transformation (DFT) has played vital roles in order to optimize the same. This paper introduces the usage of AI (Artificial Intelligence) in combination with Swam Intelligence to optimize the channel estimation. The evaluation is made on the base of Bit Error Rate (BER) and Mean square Error (MSE).
cognitive radio, channel estimation, artificial intelligence, swarm intelligence
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