Artificial Intelligent Techniques for Wireless Communication and Networking

18Deep Learning in 5G Networks

G. Kavitha¹, P. Rupa Ezhil Arasi^1* and G. Kalaimani^2†

¹ Muthayammal Engineering College, Namakkal, India

² Sadhan Women’s College of Engineering and Technology, Hydrabed, India

Abstract

In the era of 5G networks, traffic management is an essential task. Machine Learning techniques can be utilized to provide solution for traffic management in 5G networks. The traffic data can be maintained in a database and analyzed using various machine learning techniques. In this work, 3D CNN model is combined with RNN model for analyzing and classifying the network traffic into three various classes such as Maximum, Average and Minimum traffic. The result proves that the combined 3D CNN and RNN model provides better classification of network traffic.

Keywords: 5G Networks, Artificial intelligence, machine learning, deep learning, recurrent neural network, convolution neural network, traffic prediction, traffic loads

18.1 5G Networks

5G is a new global wireless standard for mobile network. 5G networks connect machines, objects and devices virtually together. The major advantages of 5G networks are high reliability, more network capacity, increased availability, low latency, higher performance, improved efficiency, etc. 5G networks also provide users with new experience and the networks establishes connections with new industries.

Figure 18.1 shows the first generation (1G) mobile network supported analog device for communication. Communication through Digital ...