Research Topics

Analysis of neuromorphic hardware and development of algorithms in context of communication engineering
Resource allocation for mobile communication using deep reinforcement learning

Teaching

Open Theses

Title	Supervisor	Type
Ressourcenzuweisung mittels Spiking Neural Network-basierten Deep Reinforcement Learning Algorithmen	Eike-Manuel Edelmann	MA

Theses In Progress

Title	Supervisor	Type
There are currently no theses in progress.

Title

Supervisor

Type

A. von Bank, E. Edelmann and L. Schmalen, "Energy-efficient spiking neural network equalization for IM/DD systems with optimized neural encoding," Proc. Opt. Fiber Commun. Conf. (OFC), San Diego, CA, USA, Mar. 2024, https://arxiv.org/abs/2312.12909
[ Cite ] [ Code ]
A. von Bank, E. Edelmann and L. Schmalen, "Spiking neural network decision feedback equalization for IM/DD systems," Proc. Advanced Photonic Congress: Signal Processing in Photonic Communications (SPPCom), Busan, South Korea, Jul. 2023, https://arxiv.org/abs/2304.14152
[ Cite ] [ Presentation ] [ Code ]
E. M. Bansbach, A. von Bank and L. Schmalen, "Spiking neural network decision feedback equalization," Proc. Intl. Workshop on Smart Antennas and ITG Conf. on Systems, Communications, and Coding (WSA-SCC), Braunschweig, Germany, Feb. 2023, https://arxiv.org/abs/2211.04756
[ Cite ] [ Presentation ]
E. M. Bansbach, Y. Kiyak and L. Schmalen, "Deep reinforcement learning for uplink multi-carrier non-orthogonal multiple access resource allocation using buffer state information," Proc. European Wireless, Dresden, Germany, Sep. 2022, https://arxiv.org/abs/2208.14689
[ Cite ] [ Presentation ]
E. M. Bansbach, V. Eliachevitch and L. Schmalen, "Deep reinforcement learning for wireless resource allocation using buffer state information," Proc. IEEE Global Commun. Conf. (GLOBECOM), Madrid, Spain, Dec. 2021, preprint available at https://arxiv.org/abs/2108.12198
[ Cite ] [ Presentation ]