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 …
[HTML][HTML] Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
[HTML][HTML] Deep reinforcement learning for resource management on network slicing: A survey
JA Hurtado Sánchez, K Casilimas… - Sensors, 2022 - mdpi.com
Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …
Intelligent radio access network slicing for service provisioning in 6G: A hierarchical deep reinforcement learning approach
Network slicing is a key paradigm in 5G and is expected to be inherited in future 6G
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …
An intelligent self-sustained RAN slicing framework for diverse service provisioning in 5G-beyond and 6G networks
Network slicing is a key technology to support the concurrent provisioning of heterogeneous
Quality of Service (QoS) in the 5th Generation (5G)-beyond and the 6th Generation (6G) …
Quality of Service (QoS) in the 5th Generation (5G)-beyond and the 6th Generation (6G) …
The LSTM-based advantage actor-critic learning for resource management in network slicing with user mobility
Network slicing aims to efficiently provision diversified services with distinct requirements
over the same physical infrastructure. Therein, in order to efficiently allocate resources …
over the same physical infrastructure. Therein, in order to efficiently allocate resources …
Resource management in wireless networks via multi-agent deep reinforcement learning
We propose a mechanism for distributed resource management and interference mitigation
in wireless networks using multi-agent deep reinforcement learning (RL). We equip each …
in wireless networks using multi-agent deep reinforcement learning (RL). We equip each …
Joint RAN slicing and computation offloading for autonomous vehicular networks: A learning-assisted hierarchical approach
In this paper, a two-timescale radio access network (RAN) slicing and computing task
offloading problem is investigated for a cloud-enabled autonomous vehicular network (C …
offloading problem is investigated for a cloud-enabled autonomous vehicular network (C …
Customized slicing for 6G: Enforcing artificial intelligence on resource management
Next generation wireless networks are expected to support diverse vertical industries and
offer countless emerging use cases. To satisfy stringent requirements of diversified services …
offer countless emerging use cases. To satisfy stringent requirements of diversified services …
Semantics-empowered communications: A tutorial-cum-survey
Along with the springing up of the semantics-empowered communication (SemCom)
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …