Resource management in cloud radio access network: Conventional and new approaches
Cloud radio access network (C-RAN) is a promising mobile wireless sensor network
architecture to address the challenges of ever-increasing mobile data traffic and network …
architecture to address the challenges of ever-increasing mobile data traffic and network …
5G network slices resource orchestration using Machine Learning techniques
To efficiently serve heterogeneous demands in terms of data rate, reliability, latency and
mobility, network operators must optimize the utilization of their infrastructure resources. In …
mobility, network operators must optimize the utilization of their infrastructure resources. In …
Machine learning based resource orchestration for 5G network slices
5G will serve heterogeneous demands in terms of data-rate, reliability, latency, and
efficiency. Mobile operators shall be able to serve all of these requirements using shared …
efficiency. Mobile operators shall be able to serve all of these requirements using shared …
Towards 6G Technology: Insights into Resource Management for Cloud RAN Deployment
SF Ismail, DJ Kadhim - IoT, 2024 - mdpi.com
Rapid advancements in the development of smart terminals and infrastructure, coupled with
a wide range of applications with complex requirements, are creating traffic demands that …
a wide range of applications with complex requirements, are creating traffic demands that …
基于改进遗传算法的C-RAN 网络动态无线资源分配.
徐东明， 谭静茹， 关文博 - Telecommunication Engineering, 2021 - search.ebscohost.com
针对云无线网络(Cloud Radio Access Network, C-RAN) 中传统静态资源分配效率低下以及
动态无线资源分配中资源种类单一的问题, 提出了一种基于用户服务质量(Qulity of Service …
动态无线资源分配中资源种类单一的问题, 提出了一种基于用户服务质量(Qulity of Service …
Middleware for Distributed Fulcrum Coding on the Fly: Leveraging Efficient Communications for 5G-IoT Heterogeneous Mobile Devices
We formalize and evaluate an adaptation of the Middleware Fulcrum coding scheme,
developed under a Fog computing architecture, for 5G-IoT mobile devices. This adaptation …
developed under a Fog computing architecture, for 5G-IoT mobile devices. This adaptation …
Machine learning for network slicing in future mobile networks: design and implementation
LA Garrido, A Dalgkitsis, K Ramantas… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Designing mechanisms for orchestration and management is one of the central issues in 5G
and Beyond-5G (B5G) network infrastructures. This is due, among other things, to the sheer …
and Beyond-5G (B5G) network infrastructures. This is due, among other things, to the sheer …
Empowering Optimizing Resource Management in 5G Telecommunication Networks: The Power of Machine Learning
WA Al-Hamami, MJJ Ghrabat… - 2024 ASU International …, 2024 - ieeexplore.ieee.org
The emergence of 5G telecommunication technology has changed communication,
promising high-speed data transfer, low latency, and extensive device connectivity. A key …
promising high-speed data transfer, low latency, and extensive device connectivity. A key …
Middleware for distributed fulcrum coding on the fly: leveraging efficient communications for 5G-IoT heterogeneous mobile devices
Y Rivera Julio, I Gutiérrez García, J Márquez Díaz… - 2023 - repositorio.unican.es
We formalize and evaluate an adaptation of the Middleware Fulcrum coding scheme,
developed under a Fog computing architecture, for 5G-IoT mobile devices. This adaptation …
developed under a Fog computing architecture, for 5G-IoT mobile devices. This adaptation …
[PDF][PDF] Machine Learning Applications In 5G Network Orchestration
D Friedlein, P Buschmann - net.in.tum.de
The ability to virtualize and separate multiple networks on top of a common physical
infrastructure allows network providers to serve different needs. With this approach, 5G …
infrastructure allows network providers to serve different needs. With this approach, 5G …