Resource Allocation for a Wireless Coexistence Management System Based on Reinforcement Learning

no code implementations • 24 May 2018 • Philip Soeffker, Dimitri Block, Nico Wiebusch, Uwe Meier

A simulative evaluation of reinforcement learning agents based on neural networks, called deep Q-networks and double deep Q-networks, was realized for exemplary and practically relevant coexistence scenarios.

Management reinforcement-learning +2

A Software-Defined Channel Sounder for Industrial Environments with Fast Time Variance

1 code implementation • 3 May 2018 • Niels Hendrik Fliedner, Dimitri Block, Uwe Meier

Novel industrial wireless applications require wideband, real-time channel characterization due to complex multipath propagation.

Multi-Label Wireless Interference Identification with Convolutional Neural Networks

no code implementations • 12 Apr 2018 • Sergej Grunau, Dimitri Block, Uwe Meier

In this work, we propose a WII approach based upon a deep convolutional neural network (CNN) which classifies multiple IEEE 802. 15. 1, IEEE 802. 11 b/g and IEEE 802. 15. 4 interfering signals in the presence of a utilized signal.

General Classification Management

Wireless Interference Identification with Convolutional Neural Networks

no code implementations • 2 Mar 2017 • Malte Schmidt, Dimitri Block, Uwe Meier

We propose a CNN example which is based upon sensing snapshots with a limited duration of 12. 8 {\mu}s and an acquisition bandwidth of 10 MHz.

Management