5G Resource Allocation for Machine Learning-Based Effective Bandwidth Usage

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Aaqib Ahmad Mir , Gurinder Kaur

Abstract

The swift progress in telecommunications has introduced 5G networks, which provide unparalleled speed, minimal latency, and enhanced connectivity. This study thoroughly investigates the performance of 5G networks, focusing on essential Quality of Service (QoS) metrics and innovative resource allocation techniques. Through careful analysis and practical simulations, our research shows that, on average, 5G networks exhibit a remarkable tenfold increase in data transfer rates compared to 4G networks. Additionally, we observe a notable 30% reduction in latency, underscoring the efficiency and responsiveness inherent in 5G technologies.

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