Volume 20 No 12 (2022)
 Download PDF
A Novel Optimization for 6G with AI based MIMO-OFDM Technology in Wireless Communication
Meghamala.Y, Dr. Pulipati John Paul
Abstract
This research work elaborates and analyses the mobile communication network in various standards. In this research workdeveloped low complexity algorithms in MIMO-OFDM systems in 6G technology. 6G wireless networks are anticipated to exhibit significant advancements compared to previous technologies, offering increased network speeds and expanded bandwidth. The development of 6G technologies facilitates the deployment of various applications, such as Machine Learning, Artificial Intelligence (AI), Internet of Things (IoT), and Energy Harvesting Techniques.This method is to minimize the bit error rate (BER), to increase the signal to noise ratio (SNR) and to reduce the power consumption. 6G will be fulfilled to launch the space-air-ground-sea integrated network. The 6G scope of the technology together can be phrased as “Whatever You think, Your Network Follows”.With emerge of new applications like interactive services and the real-time projects and with the quick development in smart terminals.
Keywords
6G, massive multiple-input multiple-output (MIMO), multi-carrier (MC).
Copyright
Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.