Applications of deep reinforcement learning in communications and networking: A survey
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future
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 …
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …
Wireless networks design in the era of deep learning: Model-based, AI-based, or both?
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 …
communication networks. It will be shown that the data-driven approaches should not …
A gentle introduction to reinforcement learning and its application in different fields
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 …
become one of the most important and useful technology. It is a learning method where a …
Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities
S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …
extremely diverse and challenging requirements. To fulfill such diverse requirements …
Point-to-point communication in integrated satellite-aerial 6G networks: State-of-the-art and future challenges
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 …
networks, which are envisioned to be among the key enablers of the sixth-generation (6G) of …
Deep learning for radio resource allocation in multi-cell networks
The increased complexity and heterogeneity of emerging 5G and B5G wireless networks will
require a paradigm shift from traditional resource allocation mechanisms. Deep learning …
require a paradigm shift from traditional resource allocation mechanisms. Deep learning …
Deep learning for radio resource allocation with diverse quality-of-service requirements in 5G
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 …
networks, base stations need real-time optimization of radio resources in time-varying …
[PDF][PDF] Analysis the Efficient Energy Prediction for 5G Wireless Communication Technologies.
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 …
need to escalate the energy optimization with higher degree of accuracy and performance …
A survey on space-aerial-terrestrial integrated 5G networks
S Zhang, D Zhu, Y Wang - Computer Networks, 2020 - Elsevier
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 …
on terrestrial infrastructures, space and aerial networks can play an important role in 5G for …