2 citations · 3 across the 3 of their papers we have counts for
3 papers
Spiking Neural Network Decision Feedback Equalization
Eike-Manuel Bansbach, Alexander von Bank, Laurent Schmalen
In the past years, artificial neural networks (ANNs) have become the de-facto standard to solve tasks in communications engineering that are difficult to solve with traditional met…
Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information
Eike-Manuel Bansbach, Yigit Kiyak, Laurent Schmalen
For orthogonal multiple access (OMA) systems, the number of served user equipments (UEs) is limited to the number of available orthogonal resources. On the other hand, non-orthogon…
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information
Eike-Manuel Bansbach, Victor Eliachevitch, Laurent Schmalen
As the number of user equipments (UEs) with various data rate and latency requirements increases in wireless networks, the resource allocation problem for orthogonal frequency-divi…