Holistic network virtualization and pervasive network intelligence for 6G
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
Single and multi-agent deep reinforcement learning for AI-enabled wireless networks: A tutorial
Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have
led to multiple successes in solving sequential decision-making problems in various …
led to multiple successes in solving sequential decision-making problems in various …
Distributed machine learning for wireless communication networks: Techniques, architectures, and applications
Distributed machine learning (DML) techniques, such as federated learning, partitioned
learning, and distributed reinforcement learning, have been increasingly applied to wireless …
learning, and distributed reinforcement learning, have been increasingly applied to wireless …
A survey on resource management for 6G heterogeneous networks: current research, future trends, and challenges
The sixth generation (6G) mobile communication system is expected to meet the different
service needs of modern communication scenarios. Heterogeneous networks (HetNets) …
service needs of modern communication scenarios. Heterogeneous networks (HetNets) …
Generative AI for the optimization of next-generation wireless networks: Basics, state-of-the-art, and open challenges
Next-generation (xG) wireless networks, with their complex and dynamic nature, present
significant challenges to using traditional optimization techniques. Generative Artificial …
significant challenges to using traditional optimization techniques. Generative Artificial …
A survey of machine learning applications to handover management in 5G and beyond
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …
networks that need to be properly managed since it poses multiple threats to quality-of …
Empowering non-terrestrial networks with artificial intelligence: A survey
6G networks can support global, ubiquitous and seamless connectivity through the
convergence of terrestrial and non-terrestrial networks (NTNs). Unlike terrestrial scenarios …
convergence of terrestrial and non-terrestrial networks (NTNs). Unlike terrestrial scenarios …
Joint sensing, communication, and AI: A trifecta for resilient THz user experiences
In this paper a novel joint sensing, communication, and artificial intelligence (AI) framework
is proposed so as to optimize extended reality (XR) experiences over terahertz (THz) …
is proposed so as to optimize extended reality (XR) experiences over terahertz (THz) …
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
Energy-efficient user association in mmWave/THz ultra-dense network via multi-agent deep reinforcement learning
As a key enabler for 5G and 6G wireless communications, millimeter-wave (mmWave) and
terahertz (THz) ultra-dense network (UDN) has received a great deal of attention recently …
terahertz (THz) ultra-dense network (UDN) has received a great deal of attention recently …