ESP Journal of Engineering & Technology Advancements |
© 2021 by ESP JETA |
Volume 1 Issue 2 |
Year of Publication : 2021 |
Authors : Vikram Nattamai Sankaran |
: 10.56472/25832646/ESP-V1I2P113 |
Vikram Nattamai Sankaran, 2021. "Advanced AI Techniques in Wireless MIMO Communication: Improving Throughput, Latency, and Robustness"ESP Journal of Engineering & Technology Advancements 1(2): 94-100.
The rapid advancement of wireless communication technologies necessitates innovative solutions to meet the growing demand for high data rates, reliability, and efficiency. This paper presents a novel AI-enhanced Multiple Input. Multiple Output (MIMO) communication system that leverages advanced machine learning techniques to optimize beam forming, channel estimation, and resource allocation. Our proposed system integrates deep learning models for dynamic spectrum management, ensuring efficient utilization of available spectrum and minimizing interference. The results demonstrate significant improvements in system performance, including increased data throughput, reduced latency, and enhanced robustness against channel impairments, highlighting the potential of AI to revolutionize MIMO communication.
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Advanced AI Techniques, Wireless MIMO Communication, Throughput Optimization, Latency Reduction, Robustness Enhancement, Machine Learning.