Contrastive learning based semantic communications
Recently, there has been a growing interest in learning-based semantic communication
because it can prioritize the preservation of meaningful semantic information over the …
because it can prioritize the preservation of meaningful semantic information over the …
Leveraging Network Data Analytics Function and Machine Learning for Data Collection, Resource Optimization, Security and Privacy in 6G Networks
The full deployment of sixth-generation (6G) networks is inextricably connected with a
holistic network redesign able to deal with various emerging challenges, such as integration …
holistic network redesign able to deal with various emerging challenges, such as integration …
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 Architecture Design toward Convergence of Mobile Applications and Networks
S Han, Z Liu, T Sun, X Wang - IEEE Communications Magazine, 2023 - ieeexplore.ieee.org
The mobile communication networks are faced with gigantic challenges to meet the
diversified and challenging service requirements. A tight coordination or even convergence …
diversified and challenging service requirements. A tight coordination or even convergence …
Controllable Queuing System with Elastic Traffic and Signals for Resource Capacity Planning in 5G Network Slicing
I Kochetkova, K Leonteva, I Ghebrial, A Vlaskina… - Future Internet, 2023 - mdpi.com
Fifth-generation (5G) networks provide network slicing capabilities, enabling the deployment
of multiple logically isolated network slices on a single infrastructure platform to meet …
of multiple logically isolated network slices on a single infrastructure platform to meet …
Toward Privacy-Sensitive Heterogeneous Hypercomputing
The emergence of novel mobile ecosystems such as mulsemedia and metaverse has
encouraged the evolution of cloudification technologies to accommodate the increasing …
encouraged the evolution of cloudification technologies to accommodate the increasing …
6G Network Architecture Based on Digital Twin: Modeling, Evaluation, and Optimization
X Wang, C Liu, J He, N Shi, T Zhang, X Pan - IEEE Network, 2023 - ieeexplore.ieee.org
Network architecture is key to mobile communication networks, which determines network
resource efficiency, service modalities, and industry trends. In the future 6G network, the …
resource efficiency, service modalities, and industry trends. In the future 6G network, the …
Multi-UPF: A Multi-Protocol Forwarding UPF towards 6G
Y Zhao, X Liao, M Wang - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Currently, the User Plane Function (UPF) in the 5th Generation Core Network (5GC) only
supports forwarding for GTP (GPRS Tunneling Protocol). On the one hand, the emergence …
supports forwarding for GTP (GPRS Tunneling Protocol). On the one hand, the emergence …
A Multi-Node 5G Core Network Testbed Developed from Open5GS
R Zhang, Y Lin, S Chen, Z Mo - 2023 9th International …, 2023 - ieeexplore.ieee.org
Open-source 5G Core (5GC) projects are effective tools to deploy commercial 5G networks,
develop 5G demonstration testbeds, and research the future mobile Core Network (CN) …
develop 5G demonstration testbeds, and research the future mobile Core Network (CN) …