Learning deterministic policy with target for power control in wireless networks
Inter-Cell Interference Coordination (ICIC) is a promising way to improve energy efficiency in
wireless networks, especially where small base stations are densely deployed. However …
wireless networks, especially where small base stations are densely deployed. However …
Towards zero downtime edge application mobility for ultra-low latency 5G streaming
X Vasilakos, W Featherstone, N Uniyal… - 2020 IEEE Cloud …, 2020 - ieeexplore.ieee.org
We state a position on addressing the problem of Zero Downtime Edge Application Mobility
(ZeroDEAM) for ultra-low latency 5G streaming services. We define and use an Edge …
(ZeroDEAM) for ultra-low latency 5G streaming services. We define and use an Edge …
Path-link graph neural network for IP network performance prediction
Dynamic resource provisioning and quality assurance for the plethora of end-to-end slices
running over 5G and B5G networks require advanced modeling capabilities. Graph Neural …
running over 5G and B5G networks require advanced modeling capabilities. Graph Neural …
Research challenges for network function virtualization-re-architecting middlebox for high performance and efficient, elastic and resilient platform to create new …
K Shiomoto - IEICE Transactions on Communications, 2018 - search.ieice.org
Today's enterprise, data-center, and internet-service-provider networks deploy different
types of network devices, including switches, routers, and middleboxes such as network …
types of network devices, including switches, routers, and middleboxes such as network …
Learning in SDN-based multi-tenant cellular networks: A game-theoretic perspective
O Narmanlioglu, E Zeydan - 2017 IFIP/IEEE Symposium on …, 2017 - ieeexplore.ieee.org
In order to cope with the challenges of increasing user bandwidth demands as well as
create new revenues by offering innovative services and applications, Mobile Network …
create new revenues by offering innovative services and applications, Mobile Network …
Holistic Utility Satisfaction in Cloud Data Centre Network Using Reinforcement Learning
Cloud computing leads to efficient resource allocation for network users. In order to achieve
efficient allocation, many research activities have been conducted so far. Some researchers …
efficient allocation, many research activities have been conducted so far. Some researchers …
Intelligent optimization and machine learning for 5G network control and management
C Hernández-Chulde, C Cervelló-Pastor - … 2019, Ávila, Spain, June 26–28 …, 2019 - Springer
Abstract The adoption of Software Define Networking (SDN), Network Function Virtualization
(NFV) and Machine Learning (ML) will play a key role in the control and management of 5G …
(NFV) and Machine Learning (ML) will play a key role in the control and management of 5G …
Deep reinforcement learning for wireless network
The rapid introduction of mobile devices and the growing popularity of mobile applications
and services create unprecedented infrastructure requirements for mobile and wireless …
and services create unprecedented infrastructure requirements for mobile and wireless …
Using machine learning to detect noisy neighbors in 5g networks
5G networks are expected to be more dynamic and chaotic in their structure than current
networks. With the advent of Network Function Virtualization (NFV), Network Functions (NF) …
networks. With the advent of Network Function Virtualization (NFV), Network Functions (NF) …
Enhancing Quality of Experience of 5G Users Exploiting Deep Q-Learning
The Fifth Generation (5G) network aims to redesign the network service architecture so that it
can offer an excellent Quality-of-Experience (QoE) to the users. However, the exponentially …
can offer an excellent Quality-of-Experience (QoE) to the users. However, the exponentially …