<span>Wireless communication in present era contains large-scale MIMO network architecture that need to deliver an optimize-QoS to multi-user (MU). <br /> The optimize data rate transmission in massive MU-MIMO wireless systems is one of the most difficult task due to the extremely high implementation complexity. The practical wireless system channels generally exhibits the PAPR and frequency selective fading, it is also necessary to have a precoding solution in PAPR for the selected desirable channels. A solution for the designed problem of a noble error-correcting code for OFDM process with a low PAPR, in the case of impulse noise should be considered. In this paper, Adaptive-Data-detection (ADD) algorithm is proposed to obtain lower-complexity data-detection that corresponds to high throughput design and impulse noise removal for large MUI-MIMO wireless systems by the OFDM modulation technique. That contains some steps such as; initialization, <br /> pre-processing and equalization steps in order to get no performance loss and to minimalize the recurrent amount at each iterations during operation. In order to use simplify model, here we assume suitably perfect synchronization, large cyclic prefix and perfect-CSI (channel-state-information) which has been developed through the pilot depended training. Simulation results analysis show the proposed method substantial improvement over the existing algorithm in terms of both ‘Error-rate’ minimization and PAPR reduction.</span>

Image transmission in OFDM could be done using various modulation techniques. Digital images are prone to a wide variety of noises. The various noises are salt and pepper noise, Gaussian noise, speckle noise. The performance of the OFDM system for digital image transmission using four different modulation techniques namely BPSK,QPSK,16-PSK and 256-PSK are analyzed. The image is corrupted by additive white Gaussian noise(AWGN) which is added in the communication channel. The results show that OFDM systems with BPSK modulation or QPSK modulation performs well for image transmission under noisy channels and with SNR ≤ 12dB compared to OFDM systems with 16-PSK or 256-PSK modulation. The simulation is done in MATLAB.