Histogram Security Test Analysis for BER and SNR in a Crypto OFDM System

Abstract

The topic of channel estimation in OFDM systems is addressed in part of this research study. Given to its dynamic character, the proposed framework provides quick resolution and hence lowers the complexity of channel estimates with reduced BER when compared to standard techniques. The outcomes show that when comparing to the usual encryption algorithm, the suggested techniquebased channel prediction technique with (Tx-Rx= 2x2) achieves a lower BER. As a result, this method is effective in lowering the signal error rate. Similarly, the proposed method's efficiency was found to be significant for other performance measures such as SER and throughput. This study is built on a method that uses the crossover and mutation operators to identify images with fewer interference and noise. In less rounds, the suggested method achieves a global optimum result. The findings obtained for the proposed technique with (Tx-Rx= 2x2) are noteworthy in terms of propagation delay. Although a lot of users are available, the proposed allocation of resources methodologies lower overall transmit power and assign the optimal bit, power, and subcarriers more quickly than earlier algorithms. With substantial throughput, BER and SNR, the proposed technique offers the best option for bit and power allocation of resources