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The role of network slicing and edge computing in the metaverse realization
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 …
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
With the development of serverless computing, developers can implement and deploy
business applications as a combination of stateless functions. Although originally proposed …
business applications as a combination of stateless functions. Although originally proposed …
[HTML][HTML] Advanced 6 G wireless communication technologies for intelligent high-speed railways
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 …
considerable interest from both academic and industrial sectors. To meet the future vision of …
Digital-twin-driven end-to-end network slicing toward 6G
The diverse use-case requirements and strict expectations of latency on shared
infrastructure, from future networks, calls for networking paradigms that can provide …
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
The rapid evolution of user equipment (UE) and 5G networks drives significant
transformations, bringing technology closer to end‐users. Managing resources in densely …
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 …
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 …
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
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 …
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 …
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
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 …
and computing services to adapt to end users' requirements and demand patterns. The …