Implementation of an Adaptive MIMO System using Effective Minimization of Frame Error Rate
Leena Govekar1, Y. S. Rao2
1Mrs. Leena Govekar, Assistant Professor and Head, Department of Padmabhushan Vasantdada Patil College of Engineering, Mumbai, India.
2Prof. Y. S. Rao, Vice Principal, Sardar Patel Institute of technology, Mumbai, India.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 2290-2295 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1851029420/2020©BEIESP | DOI: 10.35940/ijitee.D1851.029420
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Paper Multiple Input Multiple Output (MIMO) is a technique which is now being widely used for wireless communication techniques such as 4G LTE. MIMO uses multiple antennas at the transmitter as well as at the receiver side in order to improve spectral efficiency although it increases the system complexity. Multipath propagation, which is the drawback for wireless communication, is used as an advantage in MIMO. This paper presents a model of Adaptive MIMO system in Simulink. The system adapts to specific transmit and receive diversity depending on the frame error rate. The proposed system uses 4 transmitting and receiving antennas, the number of antennas change as per the adaptation algorithm. The data is sent in the form of frames with each frame carrying the desired number of bits. Here, we have implemented the Orthogonal Space-Time Block Coding (OSTBC) scheme in a MATLAB Simulink model and implemented an adaptive algorithm to change the quantity of transmitting and receiving antennas depending on the frame error rate (FER) value.
Keywords: MIMO, 4G LTE, Adaptive, Frame Error Rate (FER).
Scope of the Article: Adaptive Systems