Towards addressing training data scarcity challenge in emerging radio access networks: A survey and framework
The future of cellular networks is contingent on artificial intelligence (AI) based automation,
particularly for radio access network (RAN) operation, optimization, and troubleshooting. To …
particularly for radio access network (RAN) operation, optimization, and troubleshooting. To …
Automatic fault detection and diagnosis in cellular networks and beyond 5g: intelligent network management
Handling faults in a running cellular network can impair the performance and dissatisfy the
end users. It is important to design an automatic self-healing procedure to not only detect the …
end users. It is important to design an automatic self-healing procedure to not only detect the …
RME-GAN: a learning framework for radio map estimation based on conditional generative adversarial network
Outdoor radio coverage map estimation is an important tool for network planning and
resource management in modern Internet of Things (IoT) and cellular systems. A radio map …
resource management in modern Internet of Things (IoT) and cellular systems. A radio map …
Radiomap Inpainting for Restricted Areas based on Propagation Priority and Depth Map
Providing rich and useful information regarding spectrum activities and propagation
channels, radiomaps characterize the detailed distribution of power spectral density (PSD) …
channels, radiomaps characterize the detailed distribution of power spectral density (PSD) …
On the Use of Spatial Graphs for Performance Degradation Root-Cause Analysis Towards Self-Healing Mobile Networks
On the road to the sixth generation of cellular networks (6G), the need to ensure a
sustainable usage of natural resources, amid increased competition and cost pressures, has …
sustainable usage of natural resources, amid increased competition and cost pressures, has …
Fast and Accurate Root Cause Analysis Based on Signalling Messages for 5G Networks
Z Guo, J Sun, J Fu, L Yuan, S Zhuang… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
The ever-increasing complexity and scale of 5G communication networks pose huge
challenges to network operations. Root cause analysis is considered as a promising method …
challenges to network operations. Root cause analysis is considered as a promising method …
A Machine Learning Driven Methodology for Alarm Prediction Towards Self-Healing in Wireless Networks
Although Artificial Intelligence (AI) is already used by 5 th Generation (5G) to support specific
network functions, the increased complexity of 6 th Generation (6G) will demand the …
network functions, the increased complexity of 6 th Generation (6G) will demand the …
[PDF][PDF] Cell Fault Management Using Resource Efficient Machine Learning Techniques
D Mulvey - 2023 - openresearch.surrey.ac.uk
The pressure to achieve greater data rates from limited radio spectrum while reducing
latency in 5G and soon 6G has resulted in the introduction of new and complex features into …
latency in 5G and soon 6G has resulted in the introduction of new and complex features into …