Machine Learning and 5G
5G network is more complicated than previous generation networks. It operates at higher frequencies, introduces more complex antenna/cell configurations, and employs more sophisticated connectivity mechanisms. 5G networks can handle multiple data “conversations” over the same data signal simultaneously.
Machine Learning can provide a higher and more intelligent level of monitoring and management of networks and applications, improve operational efﬁciencies and facilitate the requirements of the future 5G network.
Machine learning allows 5G wireless networks to be predictive and proactive, which is fundamental in making the 5G vision possible.
5G and machine learning go hand in hand. Without machine learning, networks simply cannot predict. Without the ability to predict, applications like remote surgery and wireless virtual reality cannot happen. Main challenge with 5G and machine learning is where to actually run the demanding algorithms and computations. A reliable 5G system requires extremely low latency, which is why everything cannot be stored in remote cloud servers far away. Latency increases with distance and congestion of network links. Considering the ever-increasing complexity of the network, and the emergence of novel use cases such as autonomous cars, industrial automation, virtual reality, e-health, and several intelligent applications, ML is expected to be essential to assist in making the 5G vision conceivable.