Eike-Manuel Bansbach, M.Sc.

Eike-Manuel Bansbach, M.Sc.

Forschungsgebiete

  • Untersuchung neuromorpher Hardware und Entwicklung entsprechender Algorithmen im Kontext der Nachrichtentechnik
  • Ressourcenzuweisung im Mobilfunk mittels Deep Reinforcement Learning

Lehre

  • Übung Nachrichtentechnik I (seit WS 20/21)
  • Praktikum Nachrichtentechnik (seit SS 20)

Gesamte Liste der Veröffentlichungen

Konferenzbeiträge

  1. E. M. Bansbach, A. von Bank and L. Schmalen, "Spiking neural network decision feedback equalization," Proc. Int. ITG Workshop on Smart Antennas and Conf. on Systems, Communications, and Coding (WSA-SCC), Braunschweig, Germany, Feb. 2023, https://arxiv.org/abs/2211.04756
  2. 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, presentation at https://youtu.be/FtScRmJ6Qw4
  3. 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, presentation at https://www.youtube.com/watch?v=st4xhs-dR_g