International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023
p-ISSN: 2395-0072
www.irjet.net
MIMO-OFDM WIRELESS COMMUNICATION SYSTEM PERFORMANCE ANALYSIS FOR CHANNEL ESTIMATION Sanjay Kumar1, Mr. Pradeep Pal2 1M.Tech, Electronic and Communication Engineering, GITM, Lucknow, India
2Assistant Professor Electronic and Communication Engineering, GITM, Lucknow, India
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Abstract - This study proposes a hybrid Wiener filter-based
high-speed, reliable wireless communication over a wide range of distances.
pilot-based low-complexity channel estimator for use in the LTE-A downlink using cell-specific reference signals (C-RS) and user equipment reference signals (UE-RS). Sub-optimally, the suggested system only needs 8.8 and 74.5 percent as many calculations as the optimum system and other sub-optimum systems, respectively. In addition, a Fast Fourier Transform (FFT)-based CE technique is developed, which requires less computing power. End-to-end LTE-A system throughput validation of the reported pilot-based system demonstrates the feasibility of the proposed system. Next, we provide a novel blind CE method for SIMO and MIMO systems that makes use of a hybrid OFDM symbol structure. It is shown that the created system achieves comparable performance to a pilotbased system with an equivalent level of complexity and improved spectrum efficiency, provided that a sufficient number of receive antennas are used. Last but not least, we offer alternative Resource Grid (RG) configurations that support the blind-based CE method designed for MIMO-OFDM systems, with the goal of enhancing MSE performance while reducing the number of necessary receive antennas. From the standpoint of the investigated blind-based CE scheme, the results reveal that the suggested RG configurations give better MSE performance than the LTE-A RG configuration.
MIMO-OFDM wireless communication systems are commonly used in many applications such as wireless LANs, cellular networks, and digital broadcasting. They offer several advantages over traditional wireless communication systems, including higher data rates, better coverage, and improved resistance to interference and fading.
Key Words: MIMO-OFDM, wireless communication, channel estimation, performance analysis, least squares estimation, linear minimum mean square error (LMMSE), zero-forcing (ZF).
Figure-1: MIMO The basic principle of a MIMO-OFDM wireless communication system is to divide the available frequency band into multiple subcarriers and use OFDM modulation to transmit data over these subcarriers. Each subcarrier carries a small portion of the data, and the data is distributed across all the subcarriers in a way that maximizes the spectral efficiency of the system.
1. INTRODUCTION A MIMO-OFDM wireless communication system is a type of wireless communication system that utilizes multiple-inputmultiple-output (MIMO) technology and orthogonal frequency-division multiplexing (OFDM) modulation. MIMO technology uses multiple antennas at both the transmitter and receiver to increase the system's capacity and improve its performance by reducing interference and improving signal quality.
In a MIMO-OFDM system, multiple antennas are used at both the transmitter and receiver end to exploit the spatial diversity of the wireless channel. The signals transmitted from each antenna are combined at the receiver, which improves the quality of the received signal and increases the data rate.
OFDM modulation, on the other hand, divides the data stream into multiple subcarriers and modulates them separately. This helps to mitigate the effects of channel fading and improves the system's spectral efficiency. MIMOOFDM systems combine these two technologies to provide
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The MIMO-OFDM system uses advanced signal processing techniques to mitigate the effects of multipath fading and interference. The system uses different algorithms to process
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