Abstract: The excellent effciency, capacity, and dependability of today’s wireless networks are concurrent to be achieved, and employing several communication methods antennas is an effective solution that has been extensively used. A communication system where both terminals are equipped with multi-antennas are referred to as MIMO systems, and when combined with OFDM technology are referred to as MIMO-OFDM. MIMO-OFDM has the ability to serve a large number of users with an enormous data transmission speed communication as well as utilizing the bandwidth effciently. The aim of this simulation task explores three different equalization schemes in the MIMO fat fading channel, frequency-selective OFDM channel, and combined OFDM-MIMO wireless links on the bit error rate (BER) metric. Throughout the simulations, we modulate in 4-QAM (MIMO, OFDM-MIMO) and 16-QAM (OFDM) and observe BER performances for signal-to-noise ratio (SNR) up to 30. We fnd that given the specifcations for OFDM as defned in IEEE 802.11a, precoding, and zero- forcing schemes in MIMO yield similar BER performances, while the MMSE scheme performs slightly worse at higher SNR’s. Based on the equalization scheme, we assume perfect channel state information at the transmitter (CSIT) (for precoding) and the receiver (CSIR) (for zero-forcing and MMSE). Keywords: CSIR, CSIT, Equalization, MIMO, OFDM, OFDM-MIMO. Analysis the Performance of OFDM-MIMO Channel with Diferent Equalizers Diponkor Bala 1* , Md. Shamim Hossain 2 , Md. Ibrahim Abdullah 3 and Mohammad Alamgir Hossain 4 1 Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh. Email: diponkor.b@gmail.com 2 Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh. Email: shamim2@mail.ustc.edu.cn 3 Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh. Email: ibrahim@cse.iu.ac.bd 4 Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh. Email: alamgir@cse.iu.ac.bd *Corresponding Author I. IntroductIon Wireless communication systems are ubiquitous almost everywhere. They are essential for study, business, and entertainment purposes. With more applications in emerging techniques as virtual reality and blockchain, the growing demands of capacity and reliability are challenging existing networks again [1]. Multiple-Input Multiple-Output is a spatial diversity technique that involves having several antennas at both receiver and transmitter to acquire the same performance benefts that spatial diversity offers. The popularity of MIMO has been witnessed for decades mainly because this scheme can utilize fading to achieve signal diversity. Fading indicates the transmitted signal travels through diverse paths before reaching the receiver, resulting in the received copies with different delays, attenuation, and phase shifts. Conventional systems based on a single transmitter and receiver aim to mitigate the infuence by fading, but the randomness of time- varying channels cannot be eliminated; thus the performance is not satisfying. This leads to the introduction of multiple antennas. The idea of MIMO is exactly the opposite: to utilize the randomness of fading. If several antennas are far-spaced, communication channels can be regarded as parallel. Therefore signals on them experience independent fading, which brings in diversity. At the receiver end, we can use detection algorithms to remove the fading effect and recover the transmitted signal. The advantages of MIMO are obvious: capacity, reliability, and effciency. By using multiple antennas, we can transmit more bits in a fxed time. If the transmitters split the data stream and distribute the sub-streams on antennas, the channel capacity can be increased multiple times without using extra bandwidth [2] [3]. The principle of an OFDM-based transmission is to divide an initial stream with a high transmission data rate or low symbol time into several parallel sub-streams of lower transmission rate and thus, longer symbol time. These streams are transmitted over different subcarriers regularly spaced in the frequency domain [4]. Due to its properties, namely high spectral effciency, robustness to multipath propagation, low complexity, etc., this technology has been adopted in several commercial standards. Journal of Network and Information Security 10 (1) 2022, 01-05 http://www.publishingindia.com/jnis