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Towards Massive Distribution of Intelligence for 6G Network Management using Double Deep Q-Networks

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preprint
posted on 2023-03-17, 15:27 authored by Sayantini MajumdarSayantini Majumdar, Susanna Schwarzmann, Riccardo Trivisonno, Georg Carle

Our solution evaluation is based on synthetic data-sets generated by our internally-developed simulation platform. This means we do not use any stand-alone, external or internal data-sets. Our platform code is not public, but we describe in detail the design of the platform and the data-set generator module, for other researchers to reproduce our results. The code is written in 100% Python, leveraging object-oriented approaches for code reusability.

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Email Address of Submitting Author

sayantini07@gmail.com

ORCID of Submitting Author

0000-0001-5002-7349

Submitting Author's Institution

Huawei Technologies & Technical University of Munich

Submitting Author's Country

  • Germany