EdgeBOL: A Bayesian Learning Approach for the Joint Orchestration of vRANs and Mobile Edge AI

JA Ayala-Romero, A Garcia-Saavedra… - IEEE/ACM …, 2023 - ieeexplore.ieee.org
Future mobile networks need to support intelligent services which collect and process data
streams at the network edge, so as to offer real-time and accurate inferences to users …

Toward greener 5G and beyond radio access networks—A survey

LMP Larsen, HL Christiansen, S Ruepp… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Mobile network traffic is increasing and so is the energy consumption. The Radio Access
Network (RAN) part is responsible for the largest share of the mobile network energy …

Open radio access networks (O-RAN) experimentation platform: Design and datasets

JX Salvat, JA Ayala-Romero, L Zanzi… - IEEE …, 2023 - ieeexplore.ieee.org
The Open Radio Access Network (O-RAN) Alliance is driving the latest evolution of RAN
deployments, moving from traditionally closed and dedicated hardware implementations …

Risk-Aware Continuous Control with Neural Contextual Bandits

JA Ayala-Romero, A Garcia-Saavedra… - Proceedings of the …, 2024 - ojs.aaai.org
Recent advances in learning techniques have garnered attention for their applicability to a
diverse range of real-world sequential decision-making problems. Yet, many practical …

Constrained deep reinforcement based functional split optimization in virtualized rans

FW Murti, S Ali, M Latva-Aho - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
In virtualized radio access network (vRAN), the base station (BS) functions are decomposed
into virtualized components that can be hosted at the centralized unit or distributed units …

Network intelligence for virtualized ran orchestration: The daemon approach

M Gramaglia, M Camelo, L Fuentes… - 2022 Joint European …, 2022 - ieeexplore.ieee.org
Next-generation mobile networks will largely benefit from advances in softwarization and
cloudification of network functions. However, fully exploiting the new potential of flexible …

Daemon: A network intelligence plane for 6g networks

M Camelo, M Gramaglia, P Soto… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
While there is a clear trend towards network automation through the usage of Artificial
Intelligence (AI) and Machine Learning (ML) solutions, the major reference network …

Deep reinforcement learning for orchestrating cost-aware reconfigurations of vrans

FW Murti, S Ali, G Iosifidis… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Virtualized Radio Access Networks (vRANs) are fully configurable and can be implemented
at a low cost over commodity platforms to enable network management flexibility. In this …

Fair Resource Allocation in Virtualized O-RAN Platforms

F Aslan, G Iosifidis, JA Ayala-Romero… - Proceedings of the …, 2024 - dl.acm.org
O-RAN systems and their deployment in virtualized general-purpose computing platforms (O-
Cloud) constitute a paradigm shift expected to bring unprecedented performance gains …

A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration

FW Murti, S Ali, M Latva-aho - arXiv preprint arXiv:2312.16142, 2023 - arxiv.org
Multi-access Edge Computing (MEC) can be implemented together with Open Radio Access
Network (O-RAN) over commodity platforms to offer low-cost deployment and bring the …