The role of network slicing and edge computing in the metaverse realization

S Karunarathna, S Wijethilaka, P Ranaweera… - IEEE …, 2023 - ieeexplore.ieee.org
Metaverse is the latest technological hype in the modern world due to its potential for
revolutionizing the digital visual perspective. With the COVID-19 pandemic, most industries …

SD-SRF: An intelligent service deployment scheme for serverless-operated cloud-edge computing in 6G networks

L Wang, A Liu, NN **ong, S Zhang, T Wang… - Future Generation …, 2024 - Elsevier
With the development of serverless computing, developers can implement and deploy
business applications as a combination of stateless functions. Although originally proposed …

[HTML][HTML] Advanced 6 G wireless communication technologies for intelligent high-speed railways

W Chen, B Ai, Y Sun, C Yu, B Zhang, C Yuen - High-speed Railway, 2024 - Elsevier
The rapid expansion of railways, especially High-Speed Railways (HSRs), has drawn
considerable interest from both academic and industrial sectors. To meet the future vision of …

Digital-twin-driven end-to-end network slicing toward 6G

M Yaqoob, R Trestian, M Tatipamula… - IEEE Internet …, 2023 - ieeexplore.ieee.org
The diverse use-case requirements and strict expectations of latency on shared
infrastructure, from future networks, calls for networking paradigms that can provide …

Dynamic and efficient resource allocation for 5G end‐to‐end network slicing: A multi‐agent deep reinforcement learning approach

M Asim Ejaz, G Wu, T Iqbal - International Journal of …, 2024 - Wiley Online Library
The rapid evolution of user equipment (UE) and 5G networks drives significant
transformations, bringing technology closer to end‐users. Managing resources in densely …

Evolutionary Game Caching Resource Allocation Strategy for 6 G Networks

X Wang, Y Zhang, Z Zhuo, X Li, G Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Network slicing is a key technology in sixth-generation (6G) communication networks.
However, the performance of virtualized nodes sharing cache resources in 6G network …

A Comprehensive and Efficient Topology Representation in Routing Computation for Large-Scale Transmission Networks

Y Wu, J Li, M Zhang, B Ye… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Large-scale transmission network (LSTN) puts forward high requirements to 6G in quality of
service (QoS). In the LSTN, bounded and low delay, low packet loss rates, and controllable …

Optimizing resource fragmentation in virtual network function placement using deep reinforcement learning

R Mohamed, M Avgeris, A Leivadeas… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the 6G wireless era, the strategical deployment of Virtual Network Functions (VNFs) within
a network infrastructure that optimizes resource utilization while fulfilling performance criteria …

Epidemic dynamics edge caching strategy for 6G networks

X Wang, Y Zhang, S Zhang - Frontiers in Physics, 2024 - frontiersin.org
By caching popular content on edge servers closer to users to respond to users' content
requests in 6G networks, the transmission load of backhaul links can be reduced. However …

To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing

M Boscaro, F Mason, F Chiariotti, A Zanella - arxiv preprint arxiv …, 2024 - arxiv.org
Artificial Intelligence (AI) is a key component of 6G networks, as it enables communication
and computing services to adapt to end users' requirements and demand patterns. The …