A Multiple inputs multiple output (MIMO) structures in wireless communication exchange are referred as a wireless communication system where a couple of antennae is used in both aspects of the communication exchange route i.e. Transmitter side and Receiver aspect. The communication exchange structures, which use more than one transmit and multiple obtain antennas are commonly referred to as a couple of input more than one output (MIMO) structures. The coverage place and the transmission ability of a wireless communication exchange system can be progressed by way of the usage of this Wi-Fi networking generation. In digital signal processing, the processing algorithms for interference suppression are becoming complicated with a couple of antenna at each end of the transmission channel. Additionally, the growing demand for those networks has become the frequency spectrum into a treasured aid. For that reason, there is a sturdy need for a method which could pack more and more bits/Hz. Any such device is known as multiple inputs multiple output (MIMO) gadget. The uplink insurance and capacity of OFDM structures with the traditional multi-user detector receiver are interference restricted. In particular, at some stage in the rollout segment, the coverage of OFDM machine is uplink restricted. A less expensive answer to improving the general overall performance is using serial interference cancellation (SIC) at the base station. In this research work, a sophisticated receiver structure for interference cancellation primarily based on advanced Least Square Error Algorithm set of rules for multiple inputs multiple outputs orthogonal frequency division multiplexing (MIMO-OFDM) structures is proposed. The proposed method no longer simplest increases the capability of the device but additionally low down the Bit Error Rate. It could make full use of the channel correlations in the area, time, and frequency to estimate the channel state information for diverse systems, together with pilot-image assisted structures, pilot-embedded structures, and blind structures. MATLAB R2013a has been used to evaluate the performance of proposed algorithm the usage of Wireless Communication toolbox and preferred MATLAB toolbox. The overall performance of the proposed technique and existing technique is measured using BER.