Holistic network virtualization and pervasive network intelligence for 6G

X Shen, J Gao, W Wu, M Li, C Zhou… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
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 …

Network slicing: Recent advances, taxonomy, requirements, and open research challenges

LU Khan, I Yaqoob, NH Tran, Z Han, CS Hong - IEEE Access, 2020 - ieeexplore.ieee.org
Fifth-generation (5G) and beyond networks are envisioned to provide multi-services with
diverse specifications. Network slicing is identified as a key enabling technology to enable …

Deep reinforcement learning for resource management in network slicing

R Li, Z Zhao, Q Sun, I Chih-Lin, C Yang, X Chen… - IEEE …, 2018 - ieeexplore.ieee.org
Network slicing is born as an emerging business to operators by allowing them to sell the
customized slices to various tenants at different prices. In order to provide better-performing …

A survey of recent advances in optimization methods for wireless communications

YF Liu, TH Chang, M Hong, Z Wu… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

Joint communication, computation, caching, and control in big data multi-access edge computing

A Ndikumana, NH Tran, TM Ho, Z Han… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The concept of Multi-access Edge Computing (MEC) has been recently introduced to
supplement cloud computing by deploying MEC servers to the network edge so as to reduce …

Coexistence mechanism between eMBB and uRLLC in 5G wireless networks

AK Bairagi, MS Munir, M Alsenwi… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Ultra-reliable low-latency communication (uRLLC) and enhanced mobile broadband
(eMBB) are two influential services of the emerging 5G cellular network. Latency and …

Network slice reconfiguration by exploiting deep reinforcement learning with large action space

F Wei, G Feng, Y Sun, Y Wang, S Qin… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
It is widely acknowledged that network slicing can tackle the diverse usage scenarios and
connectivity services that the 5G-and-beyond system needs to support. To guarantee …

Service multiplexing and revenue maximization in sliced C-RAN incorporated with URLLC and multicast eMBB

J Tang, B Shim, TQS Quek - IEEE Journal on Selected Areas in …, 2019 - ieeexplore.ieee.org
The fifth generation (5G) wireless system aims to differentiate its services based on different
application scenarios. Instead of constructing different physical networks to support each …

Deep learning based caching for self-driving cars in multi-access edge computing

A Ndikumana, NH Tran, KT Kim… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Without steering wheel and driver's seat, the self-driving cars will have new interior outlook
and spaces that can be used for enhanced infotainment services. For traveling people, self …

Toward tailored resource allocation of slices in 6G networks with softwarization and virtualization

H Cao, J Du, H Zhao, DX Luo, N Kumar… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Compared with 5G networks, 6G networks are guaranteed to provide various tailored end-to-
end network services and emerging cloud-edge applications. Network slicing (NS) is …