Beam Management Driven by Radio Environment Maps in O-RAN Architecture

no code implementations • 21 Mar 2023 • Marcin Hoffmann, Pawel Kryszkiewicz

The Massive Multiple-Input Multiple-Output (M-MIMO) is considered as one of the key technologies in 5G, and future 6G networks.

Management Reinforcement Learning (RL)

Amplifier-Coupled Tone Reservation for Minimization of OFDM Nonlinear Distortion

no code implementations • 20 Apr 2021 • Pawel Kryszkiewicz

Nonlinear distortion of an OFDM signal is a serious problem when it comes to energy-efficient Power Amplifier(PA) utilization.

Increasing Energy Efficiency of Massive-MIMO Network via Base Stations Switching using Reinforcement Learning and Radio Environment Maps

no code implementations • 8 Mar 2021 • Marcin Hoffmann, Pawel Kryszkiewicz, Adrian Kliks

The proposed RL-based BSs switching algorithm is proven to provide 70% gains in EE over a state-of-the-art algorithm using an analytical heuristic.

Reinforcement Learning (RL)