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Demo: A Reinforcement Learning-based Flexible Duplex System for B5G with Sub-6 GHz

04/27/2020

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by Soo-Min Kim, et al.

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In this paper, we propose a reinforcement learning-based flexible duplex system for B5G with Sub-6 GHz. This system combines full-duplex radios and dynamic spectrum access to maximize the spectral efficiency. We verify this method's feasibility by implementing an FPGA-based real-time testbed. In addition, we compare the proposed algorithm with the result derived from the numerical analysis through system-level evaluations.

Soo-Min Kim
6 publications
Han Cha
7 publications
Seong-Lyun Kim
36 publications
Chan-Byoung Chae
30 publications

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