چکیده (انگلیسی):

In the progress of transmission systems that uses the diversity in various domains, the execution of competent
baseband receivers categorized by affordable computational load is an essential thing. This would be an
imperative point in the future expansion of 4G systems in which the space, time and frequency diversity will
be merged together to enhance the system throughput. Here, we develop a channel estimation technique for
MC-CDMA system for the minimization of BER and the maximization of throughput. The maximization of
throughput is an essential thing for the successful reception of signal. At the receiver side, the original data is
obtained based on the channel estimation algorithm and the inverse process of the transmitter side is performed
in the receiver side. The major contribution of our work is to estimate the channel information in an adaptive
way. We estimate the channel using the cuckoo search algorithm based on the best solution we obtain from the
cuckoo search algorithm. After estimating the channel, we calculate the Bit Error Rate (BER) performance and
throughput based on the acknowledgement send by the receiver. Experimental results show that our technique
is better in terms of BER and throughput compared to the existing technique.