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The design of communication networks for nanodevices, so-called nanonetworks, has gained a lot of attention. Nanonetworks could enable exciting new applications in biomedicine, environmental monitoring, and manufacturing. Molecular communication (MC), i.e., the exchange of information via molecules, is a bio-hybrid approach to nanonetwork design.

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Recently, deep learning has received much attention as a promising approach to optimize resource allocation for wireless communication systems. Facilitated by recent technological advances and the capabilities of specialized hardware for data processing, deep learning can be employed to solve resour...