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

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Offene Abschlussarbeiten

Titel	Betreuer	Art
Ressourcenzuweisung mittels Spiking Neural Network-basierten Deep Reinforcement Learning Algorithmen	Eike-Manuel Edelmann	MA

Laufende Abschlussarbeiten

Titel	Betreuer	Art
Derzeit gibt es keine laufenden Abschlussarbeiten.

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Art

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
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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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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
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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
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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
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