activity
20212026
most citedIncreasing Energy Efficiency of Massive-MIMO Network via Base Stations Switching using Reinforcement Learning and Radio Environment Maps

31 citations · 82 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.NI2022★ 2 cited

Radio Environment Map and Deep Q-Learning for 5G Dynamic Point Blanking

Marcin Hoffmann, Paweł Kryszkiewicz

Dynamic Point Blanking (DPB) is one of the Coordinated MultiPoint (CoMP) techniques, where some Base Stations (BSs) can be temporarily muted, e.g., to improve the cell-edge users t…

cs.NI2022

Federated Learning-Based Interference Modeling for Vehicular Dynamic Spectrum Access

Marcin Hoffmann, Pawel Kryszkiewicz, Adrian Kliks

A platoon-based driving is a technology allowing vehicles to follow each other at close distances to, e.g., save fuel. However, it requires reliable wireless communications to adju…