Eike-Manuel Edelmann, M.Sc.

Eike-Manuel Edelmann, M.Sc.

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

  • Tutorial Nachrichtentechnik I (since WS 20/21)
  • Praktikum Nachrichtentechnik (since SS 20)

Current Theses

Theses

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.

Full List of Publications

Journal papers

  1. A. von Bank, E.-M. Edelmann, S. Miao, J. Mandelbaum and L. Schmalen, "Spiking neural belief propagation decoder for short block length LDPC codes," IEEE Commun. Lett., 2024, https://arxiv.org/abs/2410.11543
    [ Cite ]  [ Code ]

Conference papers

  1. L. Schmalen, V. Lauinger, J. Ney, N. Wehn, P. Matalla, S. Randel, A. von Bank and E. M. Edelmann, "Recent advances on machine learning-aided DSP for short-reach and long-haul optical communications," Proc. Opt. Fiber Commun. Conf. (OFC), San Francisco, CA, USA, Mar. 2025, invited presentation
    [ Cite ]  
  2. 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 ]
  3. 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
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  4. 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 ]  
  5. 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 ]  
  6. 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 ]