… complexity of the 5G network by minimizing network construction costs and reinforcing the
intelligence … SDN facilitates network management, simplifies the addition of new services in 5G…

… In this chapter, we describe the role of artificial intelligence and machine learning in 5G and
… consider deep learning as the most promising approach of ML for the high complexity of 5G. …

… Given the increased complexity of 5G networks, further leveraging 5G network data and
ML will be necessary to derive optimum network-wide energy-efficient operation policies [27]. …

… complexity can arise with developing algorithms due to complex network infrastructure and
large scale in most 5G … effectively in a dynamic network such as 5G and 6G. The authors in [16…

… developments toward 5G and B5G of mobile networks are quickly embracing a variety of
deep learning (DL) algorithms as a de facto approach to help tackle the growing complexities of …

… heterogeneity and complexity, machine learning (… machine/DL and 5G wireless systems.
We think this will be unique and provide insight into 5G wireless network issues from a machine/…

… it is challenging to estimate channel due to significant computational requirements and
complexity. Deep learning is considered a feasible solution to such high computational problems. …

… However, the size and complexity of 5G networks have left the networks partially open to
advanced adversaries. Persistent adversaries will eventually find weaknesses in the large …

… in 5G and beyond (ie, 6G) systems [11]. Besides, machine learning algorithms can be a potential
solution … mainly depending on training accuracy and computing complexity, the network …

… The added complexity of multi-layer, multi-band aggregated 5 G networks drive the demand
of ML-enabled automation to maintain or reduce operational costs for service providers. …