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5 G cellular networks are supposed to accommodate the ever-increasing data explosion and hyper-dense installation of base stations thanks to their capacity to leverage connectivity and cost-effectiveness. 5G networks can accommodate far more applications concurrently than the existing infrastructure easily and efficiently. This is particularly relevant in view of the fact that the Internet is going to be used by around 41.6 billion linked users by 2025. Many will require guaranteed access to cloud services to function safely, like autonomous vehicle systems and industrial sensors. Whilst 4G networks (which use the Internet Protocol and Wifi, wireless and reaction-based networking) dominated the environment of telecommunications, Artificial intelligence Technology has advanced, along with its numerous sub-categories, including machine learning and deep learning, which was ready for delivering 5G networks for individuals to tackle the decreased bandwidth capacity of 4G. This project encourages us to create location optimization technologies that chooses ideal places for services antennas, ensuring the best potential coverage and use computer training algorithms to distribute resources dynamically to minimise user interference and to save energy.
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Mahdi et al. (2020) studied this question.
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