RT Conference Proceedings
T1 An RL approach to radio resource management in heterogeneous virtual RANs
A1 Tripathi, Sharda
A1 Puligheddu, Corrado
A1 Chiasserini, Carla Fabiana
AB 5G networks are primarily designed to support a wide range of services characterized by diverse key performance indicators (KPIs). A fundamental component of 5G networks, and a pivotal factor to the fulfillment of the services KPIs, is the virtual radio access network (RAN), which allows high flexibility on the control of the radio link. However, to fully exploit the potentiality of virtual RANs in non-stationary environments, an efficient mapping of the rapidly varying context to radio control decisions is not only essential, but also challenging owing to the non-trivial interdependence of network and channel conditions. In this paper, we propose CAREM, an RL framework for dynamic radio resource allocation, which selects the best link and modulation and coding scheme (MCS) for packet transmission, so as to meet the KPI requirements in heterogeneous virtual RANs. To show its effectiveness in real-world conditions, we provide a proof-of-concept through actual testbed implementation. Experimental results demonstrate that CAREM enables an efficient radio resource allocation, for any of the considered time periodicity of the decision-making process.
PB IEEE
SN 978-3-903176-35-5 (Electronic)
SN 978-1-6654-4659-4 (Print on Demand(PoD))
YR 2021
FD 2021-03-09
LK https://hdl.handle.net/10016/34114
UL https://hdl.handle.net/10016/34114
LA eng
NO Proceedings of: 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS), 9-11 March 2021, Klosters, Switzerland.
NO This work has been supported by the EC H2020 5GPPP 5GROWTH project (Grant No. 856709.)
DS e-Archivo
RD 1 sept. 2024