This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …

The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …

This paper deals with the use of emerging deep learning techniques in future wireless
communication networks. It will be shown that the data-driven approaches should not …

Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has
become one of the most important and useful technology. It is a learning method where a …

Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

This paper surveys the literature on point-to-point (P2P) links for integrated satellite-aerial
networks, which are envisioned to be among the key enablers of the sixth-generation (6G) of …

The increased complexity and heterogeneity of emerging 5G and B5G wireless networks will
require a paradigm shift from traditional resource allocation mechanisms. Deep learning …

To accommodate diverse Quality-of-Service (QoS) requirements in 5th generation cellular
networks, base stations need real-time optimization of radio resources in time-varying …

With the growth of technological devices, gadgets and utility products in routine life, there is
need to escalate the energy optimization with higher degree of accuracy and performance …

Thanks to their inherent advantages including large radio coverage and less dependence
on terrestrial infrastructures, space and aerial networks can play an important role in 5G for …