Improve Multidimensional 5G OFDM Based MIMO Sushisen Algorithms Merge Multi-Cell Transmission
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International Journal of Recent Engineering Science (IJRES) |  |
| © 2020 by IJRES Journal | ||
| Volume-7 Issue-2 |
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| Year of Publication : 2020 | ||
| Authors : P. Senthil, Sr. Dr. Stanly, M.Suganya, S.S.Inakshi |
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| DOI : 10.14445/23497157/IJRES-V7I2P104 |
Citation
MLA Style :P. Senthil, Sr. Dr. Stanly, M.Suganya, S.S.Inakshi "Improve Multidimensional 5G OFDM Based MIMO Sushisen Algorithms Merge Multi-Cell Transmission" International Journal of Recent Engineering Science 7.2(2020):17-21.
APA Style :P. Senthil, Sr. Dr. Stanly, M.Suganya, S.S.Inakshi. Improve Multidimensional 5G OFDM Based MIMO Sushisen Algorithms Merge Multi-Cell Transmission International Journal of Recent Engineering Science, 7(2),17-21.
Abstract
Wireless communication industry in the last decade, there is a need for techniques to reliably communicate at higher data rates and efficiently use the available bandwidth. One such technology is the use of multiple antennas at both transmitter and receiver sites of wireless communication systems known as multiple-input – multiple-output (MIMO) communication system. In MIMO systems, the information signal at both sides of the communication link is combined so that the quality (biterror-rate) or data rates (bit-per-sec) is improved. The paper provides a study for different diversity gain coding schemes and spatial multiplexing coding for MIMO systems. A comparison of various channel estimation and equalization techniques are given. The simulation is implemented using MATLAB, and the results had shown the performance of transmission models under different channel environments.
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Keywords
MATLAB MIMO, Cell Phone Network