Abstract: Nowadays, we are living in the era of modern communication technology. The number of the mobile users is increasing tremendously day by day all over the world. Due to the increasing of the mobile users, the wireless communication systems are highly required a communication system that provides data transmissions rates and more reliability to the users. Multiple Input and Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is being considered to get those facilities. 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 multicarrier modulation technique is cap-able of reducing the inter symbol interference and multipath fading problems. In this paper, we mainly focused on analysis the performance of MIMO-OFDM systems and the performance of MIMO-OFDM has been measured in terms of the Bit Error Rate and Signal to Noise Ratio based on different channels such as- AWGN, Rayleigh fading, Rician fading and different modulation techniques such as- BPSK, QPSK, M-PSK, D-BPSK, D-QPSK, DPSK and QAM. All the simulations are performed by MATLAB framework. Keywords: BPSK, D-BPSK, DPSK, DQPSK, M-PSK, MIMO- OFDM, OFDM, QAM, QPSK. Analysis the Performance of MIMO-OFDM for Various Modulation Techniques over AWGN, Rayleigh Fading and Rician Fading Channel Diponkor Bala 1* , G. M. Waliullah 2 , Md. Hafzur Rahman 2 , Md. Ibrahim Abdullah 2 and Mohammad Alamgir Hossain 2 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. *Corresponding Author I. IntroductIon The exploration for high data usage at a high speed transmission with extreme reliability is promptly aggregating in the modern world. The telecom providers witness this to be a dominant issue and are actively researching on an ideal solution [1] [2]. The OFDM is widespread over the decade and is one of the promising schemes. Its signifcance is prominent in areas such as reliability, robustness, frequency selective fading and provides ease of implementation [3] [4] [5]. In the recent years, the idea of using MIMO is protuberant as it uses multiple carrier technology. This uses multiple antennas at the transmitter as well as the receiver. The best received signal form a transmitter is chosen at the receiver. MIMO spreads an equivalent total transmit power over the antennas to realize an array gain that improves the spectral effciency (more bits per second per hertz of bandwidth) or to realize a diversity gain that improves the link reliability (reduced fading). This thus provides high resolution and reliability. The fact that high data rate and high performance is necessary made wireless systems prefer MIMO to SISO (Single Input Single Output) [5] [6]. The MIMO-OFDM pair is regarded favorable, by wireless communication systems operating with a narrow band spectrum. In order to implement this in physical networks, a number of modifcations is needed which may include time and frequency domain synchronization, channel estimation and MIMO detection [8]. The aim of this work is to classify the MIMO-OFDM systems based on their channel estimation and modulation techniques utilization. The modulation techniques BPSK, QPSK, M-PSK, D-BPSK, DQPSK, DPSK, and QAM are implemented in AWGN, Rayleigh, Rician channels. The performance is measured with respect to Bit Error Rate and Signal to Noise [2] [8]. All the simulations are implemented on MATLAB 9.0 (2016a) and the system confguration is Core i3-2.40 GHz processor with windows 10 based 64 bit operating system. Rest of the paper is organized as follows: Section II describes about various channels, Section III explains about different modulation techniques, Section IV describes about the principle of MIMO-OFDM system, Section V presents the proposed work, Section VI shows the simulation results and discussion, and fnally conclusion of this research work is drawn in Section VII. Journal of Network and Information Security 9 (2) 2021, 01-08 http://www.publishingindia.com/jnis