A survey on beyond 5g network slicing for smart cities applications
W Rafique, J Barai, AO Fapojuwo… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Beyond fifth generation (B5G) is expected to tremendously improve network capabilities by
using a higher frequency band compared to 5G, capable of delivering higher network …
using a higher frequency band compared to 5G, capable of delivering higher network …
Resource Management From Single-domain 5G to End-to-End 6G Network Slicing: A Survey
S Ebrahimi, F Bouali, OCL Haas - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
Network Slicing (NS) is one of the pillars of the fifth/sixth generation (5G/6G) of mobile
networks. It provides the means for Mobile Network Operators (MNOs) to leverage physical …
networks. It provides the means for Mobile Network Operators (MNOs) to leverage physical …
Mobile network traffic analysis based on probability-informed machine learning approach
A Gorshenin, A Kozlovskaya, S Gorbunov… - Computer Networks, 2024 - Elsevier
The paper proposes an approach to the joint use of statistical and machine learning (ML)
models to solve the problems of the precise reconstruction of historical events, real-time …
models to solve the problems of the precise reconstruction of historical events, real-time …
Network Slicing Support by Fronthaul Interface in Disaggregated Radio Access Networks: A Survey
F Arnhold, SS Anbazhagan, LR Prade… - … on Network and …, 2024 - ieeexplore.ieee.org
Beyond 5G (B5G) and 6G networks must offer network slicing as a service to support
disruptive applications using mobile network infrastructures. Moreover, network slicing as a …
disruptive applications using mobile network infrastructures. Moreover, network slicing as a …
Towards efficient RAN slicing: A deep hierarchical reinforcement learning approach
X Sun, Z Qin, Q Zhang, Y Li - Physical Communication, 2024 - Elsevier
Radio access network (RAN) slicing can significantly improve network flexibility and
resource utilization efficiency. Generally, deep reinforcement learning (DRL) is a prevailing …
resource utilization efficiency. Generally, deep reinforcement learning (DRL) is a prevailing …
Intelligent Data-Driven Architectural Features Orchestration for Network Slicing
Network slicing is a crucial enabler and a trend for the Next Generation Mobile Network
(NGMN) and various other new systems like the Internet of Vehicles (IoV) and Industrial IoT …
(NGMN) and various other new systems like the Internet of Vehicles (IoV) and Industrial IoT …