Taking 5G RAN analytics and control to a new level
Open RAN, a modular and disaggregated design paradigm for 5G radio access networks
(RAN), promises programmability through the RAN Intelligent Controller (RIC). However …
(RAN), promises programmability through the RAN Intelligent Controller (RIC). However …
[HTML][HTML] A machine learning approach for 5G SINR prediction
Artificial Intelligence (AI) and Machine Learning (ML) are envisaged to play key roles in 5G
networks. Efficient radio resource management is of paramount importance for network …
networks. Efficient radio resource management is of paramount importance for network …
Deep learning based prediction of signal-to-noise ratio (SNR) for LTE and 5G systems
T Ngo, B Kelley, P Rad - 2020 8th International Conference on …, 2020 - ieeexplore.ieee.org
Deep learning (DL) is applied to predict signal-to-noise ratio (SNR) in de facto LTE and 5G
systems in a non-data-aided (NDA) manner. Various channel conditions and impairments …
systems in a non-data-aided (NDA) manner. Various channel conditions and impairments …
An open mobile communications drive test data set and its use for machine learning
S Farthofer, M Herlich, C Maier… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
The capability to provide guarantees for network metrics, such as latency, data rate, and
reliability will be an important factor for widespread adoption of next generation mobile …
reliability will be an important factor for widespread adoption of next generation mobile …
Combining resource-aware recommendation and caching in the era of MEC for improving the experience of video streaming users
The coupling between content caching at the wireless network edge and video
recommendation systems has shown promising results to optimize the cache hit and …
recommendation systems has shown promising results to optimize the cache hit and …
Link characterization and edge-centric predictive modeling in an ocean network
One of the critical problems fishermen face in deep-sea fishing is the lack of low-cost
communication mechanisms to the shore. The Offshore Communication Network (OCN) is a …
communication mechanisms to the shore. The Offshore Communication Network (OCN) is a …
A machine learning approach for CQI feedback delay in 5G and beyond 5G networks
A Balieiro, K Dias, P Guarda - 2021 30th Wireless and Optical …, 2021 - ieeexplore.ieee.org
5G and Beyond 5G Networks apply Adaptive Modulation and Coding to adjust the downlink
modulation order and coding rate according to the channel condition, reported by the user …
modulation order and coding rate according to the channel condition, reported by the user …
A novel framework of federated and distributed machine learning for resource provisioning in 5g and beyond using mobile-edge scbs
The future needs of the telecommunication system lie in deploying a heterogeneous ultra-
dense network with varied topographical use cases. However, this increase in ultra …
dense network with varied topographical use cases. However, this increase in ultra …
Generalizable one-way delay prediction models for heterogeneous ues in 5g networks
From a 5G operator's perspective, accurate estimates of key User Equipments (UEs)
performance metrics, especially One-Way Delay (OWD), can provide valuable information …
performance metrics, especially One-Way Delay (OWD), can provide valuable information …
ML-based traffic steering for heterogeneous ultra-dense beyond-5G networks
As networks become denser and more heterogeneous different paths can be considered in
order to reach each multi-homed UE, offering optimal performance. 5G and beyond …
order to reach each multi-homed UE, offering optimal performance. 5G and beyond …